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UpGrad Machine Learning Course

Upgrad Machine learning

Key Highlights of the Program

  • Designed for Professionals in the Workplace
  • 600+ Learning Hours
  • There are over 15 case studies and assignments to choose from.
  • 6 Capstone Projects that are both practical and hands-on
  • Workshops on profile building and live coding
  • IIIT Bangalore’s Executive PG Program & Alumni Status
  • EMI options are available at no cost.
  • 3 electives to personalize your study path Dedicated Student Success Mentor
  • To improve the learners’ career persona, a portfolio website was created on Github.
  • Sessions of Career Mentorship (1:1)
  • Coaching for High Performance (1:1)
  • Just-in-Time Interviews are a type of interview that takes place when it is most convenient
  • Assessments of Industry Readiness
  • Personalized Industry Session AI Powered Profile Builder Exclusive Job Opportunities Portal
  • Bootcamp for Professional Development
  • For non-academic questions, Student Support is accessible seven days a week, twenty-four hours a day, seven days a week. Please contact us at studentsupport@upgrad.com. Use the Learn platform’s ā€œTalk to Usā€ option for urgent questions.

Machine learning, deep learning, computer vision, natural language processing, transformers, cloud, and MLOps are some of the most important topics you’ll learn.

Engineers, software and IT professionals, and data professionals are the target audience.

Job Prospects- MLOps Engineer, Data Engineer, Data Scientist, Machine Learning Engineer

Minimum Qualifications

Bachelor’s degree with a passing grade of 50% or above. A minimum of one year of technical job experience or a degree in mathematics or statistics with programming knowledge is required.

Syllabus

Experience 600+ hours of best-in-class information in the form of videos, case studies, and projects provided by premier instructors and industry professionals. 

3 Weeks of Pre-Program Preparatory Content

  • Python for Data Science (Introduction to Python)
  • SQL Data Analysis Data Visualization in Python (Optional)
  • SQL Best Practices and Advanced SQL (Optional)
  • Machine Learning Data Analysis in Excel Analytics Problem Solving Math

5 Weeks of Statistics and Exploratory Data Analytics

  • Analyze exploratory data
  • Introduction to Git and GitHub in the Cloud
  • Statistical Inference
  • Lending Club Case Study Hypothesis Testing

I7 Weeks of Machine Learning-1

  • Regression with a Line
  • Assignment for Linear Regression
  • Logistic regression is a statistical technique for predicting the outcome of
  • Model Selection with Naive Bayes

II – Machine Learning

  • Seven Weeks
  • Regression Analysis (Advanced)
  • Assignment on Advanced Regression
  • Machine to Support Vectors (Optional)
  • Model Selection for Tree Models – Practical Considerations
  • Clustering as a means of enhancing unsupervised learning
  • Principal Component Analysis in Unsupervised Learning
  • Case Study on Telecom Churn

8 Weeks of Deep Learning

  • Neural Networks: An Overview
  • Industry Applications of Convolutional Neural Networks
  • Assignment on Convolutional Neural Networks
  • Recurrent Neural Networks (RNNs) are a type of neural network that
  • Gesture Recognition Neural Network Project

7 Weeks of Natural Language Processing

  • Lexical Analysis
  • Syntactical Analysis
  • Assignment on Syntactic Processing
  • Customer Complaint Ticket Classification Using Semantic Processing

10 Weeks Cloud Essentials: Intro to AWS ELective 1: DL with MLops

  • Working with Amazon Web Services (AWS): a case study
  • Introduction to MLOps
  • MLS stands for ā€œData Lifecycle Operations.ā€
  • Model Lifecycle Operations (MLOps)
  • Assignment for MLops
  • Advanced CV Advanced CV Advanced CV
  • MLOps + Deployment: DL (Theory)
  • MLOps + Deployment: DL (assignment)

Elective 2: Maps and NLP

  • 10 Weeks of Cloud Essentials: AWS (Amazon Web Services)
  • Working with Amazon Web Services (AWS): a case study
  • Introduction to MLOps
  • MLS stands for ā€œData Lifecycle Operations.ā€
  • Model Lifecycle Operations (MLOps)
  • Assignment for MLops
  • Advanced Natural Language Processing (NLP) Advanced Natural Language Processing (NLP)
  • Deployment + MLOps: NLP (Theory)
  • Deployment + MLOps: NLP (assignment)

Elective 3: Artificial Intelligence Strategy

  • ten weeks
  • AWS Essentials: A Beginner’s Guide
  • Working with Amazon Web Services (AWS): a case study
  • Introduction to MLOps
  • MLS stands for ā€œData Lifecycle Operations.ā€
  • Model Lifecycle Operations (MLOps)
  • Assignment for MLops
  • Structured Problem Solving/ Data Storytelling, AI Strategy Framework
  • Data architecture strategy and machine learning
  • Putting AI Strategy into Practice
  • The assignment is an AI approach.

Learning through Reinforcement (Optional)

Assignment on Classical Reinforcement Learning -Classical Reinforcement Learning Deep Reinforcement Learning Project

Projects in the Industry

  • Real-world industry initiatives sponsored by prominent firms in a variety of areas provide opportunities to learn.
  • Participate in real-world collaborative projects with student-expert interaction.
  • Take advantage of learning from industry experts in person.
  • Subjective feedback on your contributions that is tailored to you in order to help you develop.

Analysis of Telecom Churn

For a prominent telecom operator in India, solve the most critical business challenge.

Play Tic Tac Toe with an agent.

Learners will put their knowledge into practice. To teach an RL agent to play the game of name, Q-Learning was used.

Customer complaints are categorized.

Develop a solution to assist in determining the kind of complaint ticket.

Detection of Credit Card Fraud

Create a machine-learning model that can spot fraudulent transactions.

Advantages of Upgrading

Strong guidance and committed assistance to assist you in mastering Cyber Security.

Possibilities for advancement

  • Elevate by upGrad: A virtual hiring drive that allows you to interview with upGrad’s 300+ hiring partners.
  • Portal for Job Openings: At any one time, upGrad’s Job Opportunities page includes 100+ positions from upGrad’s hiring partners.
  • To obtain an advantage in the application process, be the first to learn about job openings.
  • Make contact with firms that are a good fit for you.

The Admissions Procedure

The first step is to take an online eligibility test.

The first step is to take an online eligibility test.

To check your aptitude, fill out an application and complete a brief 40-minute online exam with 18 questions.

Step 2: Review and Selection of Appropriate Candidates

All applications will be reviewed by our professors, who will take into account an applicant’s educational and professional experience, as well as any test scores. Following that, Offer Letters will be sent out, ensuring that you have a terrific peer group with whom to study and network.

Step 3: Register for Prep Content Access.

Make a simple block payment with the help of our financing partners if needed, get instant access to the prepped content, and get started on your upGrad adventure.

Frequently Asked Questions

Q. I’m not sure if this program is right for me.

If you are one of the following, this program is for you:

If you are acquainted with data wrangling, have implemented statistical or machine learning models in the past, or if you have any prior experience as a working professional, you should consider becoming a data scientist or senior data analyst. You should also have some R/Python/Scala experience.

If you have a formal education in statistics or mathematics, or if you have prior professional experience, you are a statistician.

If you have past expertise in constructing data pipelines/handling data warehouses and implementing ETL processes, you are a Data Engineer/Big Data Engineer. You should also be familiar with frameworks and technologies like as Hadoop and Spark.

Q. What can I anticipate from this program?

This curriculum is aimed at working professionals who want to learn advanced topics such as reinforcement learning, graphical models, natural language processing, and deep learning, as well as a solid foundation in statistics. Over the course of 13 months, this program requires constant work and time commitment.

Q. Is there any kind of certification available at the end of the program?

IIIT Bangalore will award an Executive PG Programme in Machine Learning and AI upon completion of the curriculum.

Q. What is the procedure for applying to this program?

UpGrad, IIITB, world-class instructors, and numerous industry professionals have put a lot of effort into conceptualizing and developing this program so that applicants may enjoy the finest learning experience possible. As a result, we want to make sure that all of the participants in this program have a strong dedication to Machine Learning and AI.

Applicants will be required to complete a 40-minute selection exam that will assess their mathematics and programming skills. If the following requirements are met, the candidates may be excluded from taking the test:

A Mathematical/Statistical Degree with a certain grade and more than 1 year of relevant analytical/programming experience

Related Videos

PhD in Switzerland for Indian Students

Ph.D. in Switzerland for Indian Students

As an international student, you are sure to feel instant comfort in Switzerland. The country has a long and eminent history of distinction in hospitality education. Students who talk about their experiences studying abroad often praise the people and their warmth. Also, because the country and cities are small, the distances between the universities, campuses, libraries, and so on can be extremely short, making the commute easy.

Another advantage of studying in Switzerland is that its institutions place a greater emphasis on papers and theses, with grades given after taking into account students’ practical knowledge.

Here are some of the reasons why you should consider pursuing your Ph.D. in Switzerland:

The majority of Ph.D. students at Swiss institutions are from other countries. Wherever you study, you’ll be a member of a diverse and inclusive academic community.

The Swiss higher education system places a strong emphasis on extending Ph.D. training and developing innovative new research opportunities.

Switzerland has four official languages, hence education is multilingual. Many Ph.D. programs are also available in English, giving students of varied language backgrounds a variety of possibilities.

Postdoctoral and early-career researchers are supported by the Swiss National Science Foundation, which gives significant financing to postdoctoral and early-career researchers who opt to undertake research in Switzerland after earning their Ph.D.

Switzerland’s Most Popular Ph.D. Specializations

Foreign students appreciate Swiss colleges because they are well-funded, well-regarded, and well-liked. It’s no wonder that Switzerland produces the best bankers and lawyers in the world. Ph.D. degrees in the following fields are among the best and most sought-after:

  • International Food Science Law
  • Psychology of Social Interaction
  • Mathematics architecture finance
  • Administration of Business
  • Neuroscience economics computation Engineering and Science
  • Physics

The cost of a Ph.D. in Switzerland

Pricing at individual colleges is completely up to them. They usually cost between €182 (Rs 15,391.45) and €1,995 (Rs 1,68,651.32) for a complete PhD (but they can cost up to €6,145 (Rs 12, 256.76)).

Universities don’t always disclose the entire cost structure. They inform you of the semester expenses. As a result, you should double-check the cost listed on the website. Additional fees, such as registration fees, examination fees, student union fees, and so on, are imposed by universities. They are typically reasonable, but knowing the breakdown of your Ph.D. expenses is always a good idea.

Indian students can pursue a career in Switzerland after completing their Ph.D.

A Ph.D. in STEM courses is highly recognized in Switzerland, which normally wants competent professionals in STEM sectors. Non-EU citizens must apply for government authorization to live in Switzerland, which is granted only if the (possible) employer can show that no eligible Swiss or EU citizens are available for the position.

At a university, Ph.D. candidates are frequently hired as Research Assistants/Ph.D. Candidates. Depending on the university and research area, the monthly compensation ranges from CHF 2000 (INR 1.64 lakh) to more than CHF 6000 (INR 4.91 lakh). The pay is frequently indicated in the job contract.

Ph.D. students can also work as researchers at a firm or at an applied science university.

Indian students are eligible to pursue a Ph.D. in Switzerland.

A master’s degree in a suitable discipline is required before applying for a Swiss Ph.D. program. It will be a major academic prerequisite for entrance to Ph.D. research programs.

Prerequisites in Language

Ph.D. programs are available in both the native and English languages. The availability of English-language Ph.D. options in Switzerland may be affected by the popularity of your field. Science, engineering, and business are more likely to be taught in English; yet, arts and humanities disciplines may exclusively be taught in the native language.

Deadlines for submitting applications

In most circumstances, there is no deadline for Ph.D. applications in Switzerland. International students from outside the EU/EEA, on the other hand, should apply as soon as possible to ensure that their visa application is handled in a timely manner.

Students from the European Union and the European Economic Area

Students from the European Union and the European Economic Area do not require a visa to study in Switzerland. You can enter the nation freely for up to 90 days.

You’ll need to register with your local cantonal authorities and apply for a long-term residence permit because this isn’t nearly enough time to do a Ph.D. Within 14 days of your arrival in Switzerland, you must finish it.

Non-EU / EEA International Students

To pursue a Ph.D. in Switzerland, students from outside the EU or the three EEA nations (Lichtenstein, Iceland, and Norway) will need a student visa. It will be a category D employment or study visa that will last longer than 90 days.

Health Care Coverage

Switzerland has a universal healthcare system that guarantees access to a wide range of high-quality medical services and treatments. Students from countries that offer international health coverage, such as the European Health Insurance Card (EHIC) issued by the EU, may be free from the obligation to have health insurance. Other students may be excluded if their native nation has comparable health care.

Evidence of Adequate Funds

All international Ph.D. students (from the EU, EEA, and others) in Switzerland must be financially self-sufficient.

You may also be able to produce a sponsorship statement from a Swiss national or another qualified third party willing to cover your expenditures while you study abroad.

Scope of a Ph.D. in Switzerland for Indian Students

A Ph.D. from Switzerland will equip you well for a career in academia or business. Switzerland’s universities are internationally renowned and recognized, and they participate in a wide range of international research initiatives and partnerships.

It implies that your Swiss Ph.D. will not only be acknowledged and appreciated in academic departments throughout the world but you will also be introduced to a range of international research networks.

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Post Graduate Diploma in Management with UpGrad

Post Graduate Diploma in Management with UpGrad

Concerning the Program

Earn a PGDM from one of India’s best private business schools. UpGrad provides 360-degree career guidance, individualized student support, rapid doubt resolution, and much more.

Overview of the Program Highlights

  • PGDM from a prestigious Indian business school
  • 3 Popular Specializations
  • BIMTECH’s Faculty-Guided Dissertation Project 300+ has a lot to teach you. Partners in Hiring
  • Quickly resolving doubts
  • For questions, support is accessible from 9 a.m. to 9 p.m. IST every day.
  • Individualized Career Guidance

Marketing management, financial management, economics, strategic management, supply chain management, and other topics will be covered.

Jobs Available

Management positions are available in a variety of functional areas, including sales, marketing, business development, banking, information technology, and analytics.

Audience You’re After

Students or working professionals who want to start a management career or advance to management positions in their existing professions.

Minimum Eligibility – Minimum of 50 percent in graduation – For SC/ST, above 45 percent in graduation

Year 1 Syllabus 

  • Best-in-class information in the form of videos, case studies and projects, assignments, and live sessions from prominent instructors and industry professionals.
  • 17.5 Credits 
  • Organizational Behaviour I Marketing Management
  • Managerial accounting and financial accounting are two different types of accounting.
  • Quantitative Methodology Business Economics I MIS
  • Management of Operations

15 Credits in Trimester 2

  • Consumer Behaviours (Marketing Management II)
  • Management of Human Resources
  • Accounting for Money
  • Information System Strategy for Data Analytics

15 Credits in Trimester 3

  • Distribution and Sales
  • CSR & Strategic Management
  • Markets for Financial Services
  • Transformation to the digital age
  • Entrepreneurship
  • Management of the Supply Chain

Specializations – Year 2

  • 32.5 Credits in General Management
  • Trimester 4 – Emerging Technologies Trimester 4 – Managerial Decision Sciences
  • Research Methodology (fourth trimester)
  • Trimester 4 – Cyber Security and Compliance
  •  Trimester 5 – Project Management Trimester
  •  5 – Customer Relationship Management Trimester
  •  5 – Global Business Environment Trimester
  •  5 – Dissertation Trimester 
  • 6 – Report Writing Trimester
  •  6 – R and Python Trimester 
  • 6 – Digital Marketing Trimester 
  • 6 – Integrated Marketing Communications Trimester
  •  6 – Integrated Marketing Communications Trimester
  •  6 – Integrated Marketing Communications Trimester
  •  6 – Integrated Marketing Communications Trim
  • Leadership Development Program – Trimester 6
  • the curriculum may be revised based on feedback from faculty and industry experts*.

The Benefits of Upgrading

  • Strong guidance and committed support will be provided to assist you in becoming an industry-ready management expert.
  • Mentors from the industry
  • Mentors, teaching assistants, and graders from the business will provide you with unrivaled advice.
  • Receive personalized feedback on your entries and suggestions for improvement.
  • Student Assistance Group
  • If you need to reach out to us, please contact our Student Support Team, which is accessible 24 hours a day, seven days a week.

Send an email to studentsupport@upgrad.com, and you should receive a response within 24 hours. If you have an urgent question, please use the CallBack option on the learning platform, and a member of our staff will contact you within two working hours.

Buddy, upGrad

Your upGrad buddy will help you tailor your learning experience by checking in with you on a regular basis to make sure you’re on track with approaching deadlines, provide direction, answer non-academic questions, and give a helping hand when needed.

Effects on your career

  • Customized Industry Sessions are led by an industry expert for a small group of 10-12 learners with comparable profiles to explore real-world applications of ideas and receive personalized coaching.
  • Coaching for High Performance
  • Get a specialized career coach to help you remain on track to reach your career objectives, improve your profile, and assist you throughout your career path.
  • Sessions of Career Mentorship (1:1)
  • Experts can provide individualized career landscaping to help you map out the finest options.
  • Preparing for an Interview
  • Assist in honing your hard and soft skills in preparation for an interview.

 

Frequently Asked Questions

Q. What is the purpose of this program?

The Birla Institute of Management Technology’s PGDM program is designed for students seeking creative, cost-effective, and flexible educational programs that will benefit them professionally and personally. The program is designed for people looking to begin or develop their management careers. It’s best for those in their early to mid-career.

Q.Ā Is there an entry requirement for this program?

Yes. A minimum of 50% in graduation is required.

SC/ST students have a graduation rate of more than 45 percent.

Q. What is the procedure for admission?

The whole application and admissions procedure takes place online. The major steps in the application procedure are as follows:

FIRST STEP: COMPLETE THE APPLICATION

STEP 2: Creating a shortlist

Take the admission examination.

STEP 3: Take a Seat

Receive the admissions offer letter and pay the block amount to reserve your spot after satisfying the eligibility requirements and passing the entrance exam!

Q. What type of certificate will I receive once I’ve completed this course?

Birla Institute of Management Technology will award you a Post Graduate Diploma in Management upon satisfactory completion of this program (BIMTECH)

Q.Ā Is it possible for me to participate in this program from my home city?

This software may be learned in any city in India or overseas.

Q.Ā How do I know that the curriculum for this program is the best?

The curriculum was created by BIMTECH’s greatest faculty members with particular assistance from industry specialists, making it very relevant to working professionals. Our Support Services, Career Assistance, and Live Sessions round out a classroom experience that no one else in the industry can match.

Q. What type of assistance does upGrad provide?

Our specialized Student Support Team is ready to answer your non-academic questions seven days a week from 9:00 a.m. to 9:00 p.m. IST. You will receive a response within 24 hours if you email us at studentsupport@upgrad.com. Please utilize the Call Back option on the learning platform for any urgent questions, and you will receive a response within two working hours.

Furthermore, an upGrad buddy will enrich the learners’ experience by engaging with them to verify that they are on track with forthcoming deadlines, and submissions, give assistance, and answer their non-academic questions.

Academic help is available through the Discussion Forum and weekly TA-Sessions. Your classmates will assist you with any academic issues, just as they would at a university.

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UpGradĀ Python Courses & Certifications in 2023

Upgrad python course

Do you want to be a data scientist but don’t know how to code in Python? We’ve got your back, so don’t worry. You can study Python online for free and get started with data science with our free online Python course for beginners. You don’t have to pay anything to participate in this program. The only time commitment would be 30 minutes each day for a few weeks, and you’d know how to utilize Python for data research at the end.

What are the Benefits of Learning Python for Data Science?

Python is one of the most widely used programming languages in the world. Python was placed second in a poll by RedMonk, a famous analysis organization, in terms of popularity among programming languages.

Python became the first non-Java or JavaScript language to reach the top two positions. Python’s importance in the present market may be seen. Because it’s a general-purpose programming language, you can use it for a variety of tasks. Python has uses in web development, machine learning, and other fields in addition to data science.

Python has a wide range of uses in data science. It has a number of libraries that make certain data operations easier. Pandas, for example, is a Python data analysis and manipulation package.

It has a variety of functions for manipulating large amounts of structured data.

It is considerably easier to analyze data this way. Matplotlib, a Python library for data visualization, is another important Python tool in data science. Python is one of the most important skills for data scientists. It will surely assist you in breaking into this area if you learn it.

Why choose upGradĀ  Python for Data Science?

Joining our Python free classes has a lot of benefits. Here are a few examples:

Mentorship in the industry on a one-to-one basis

You’ll receive one-on-one instruction from a prominent industry expert. They will lead you through the course and you will be able to ask them questions as needed.

Content that is cutting-edge

The professionally designed content on upGrad guarantees you get the greatest online learning experience possible.

Live Lectures every week

Throughout the course, you will receive unique live lectures once a week. They will assist you in removing any lingering uncertainties and streamlining your learning process.

Acquire a Free Certificate

You’ll receive a certificate of accomplishment once you’ve completed our free Python online course. Your CV would benefit much from the certificate.

Aside from these advantages, the most important one is that you may enrol in the course for free. It does not necessitate any financial investment. Let’s talk about what the course is about and what you’ll learn:

What Will You Discover?

Learning Python is a must if you want to work as a data scientist. It has a wide range of applications in this sector, and without it, you won’t be able to do many crucial data science activities. Many students and professionals are hesitant to learn Python since it is a programming language.

They consider Python’s diverse applications in data science, artificial intelligence, and machine learning are very hard subjects after reading about it. Python, on the other hand, is a simple programming language that you can pick up fast.

Our free Python online course for beginners covers the fundamentals of this popular programming language and helps you comprehend its applications in data science. Our Python course is free and lasts four weeks. It is divided into four sections:

Python Libraries EDA (Introduction to Python Programming)

These sections will help you learn Python in a step-by-step fashion. Let’s take a closer look at each of these sections:

Python Basics

You’ll get a step-by-step guide to starting learning Python in the first module of our free Python online course. It will educate you on the foundations of Python, including what it is and how to learn it.

Apart from the fundamentals, this section will walk you through the many jargons used in data science. You’ll learn the meanings of several technical words used by data scientists, such as EDA, NLP, Deep Learning, Predictive Analytics, and so on. Understanding Python will provide you with the necessary basis to explore its more sophisticated ideas in the future.

You’ll realize how simple this subject is once you learn the meaning of data science jargon. It’s a fantastic way to overcome your apprehension about learning data science. You should be able to employ data science jargon like any other data professional at the end of this lesson.

Python as a programming language

This segment of our course will teach you the fundamentals of Python scripting, such as strings, lists, and data structures. One of the most important ideas in data science is data structures.

They aid with the organization of data so that you can rapidly access it and execute actions on it. To become a skilled data scientist, you must first understand data structures. During technical interviews, many employers inquire about data structures and their applications.

This module focuses on data science programming with Python. As a result, it covers the fundamental notions of various data structures, including lists.

Once you’ve mastered the fundamentals, you’ll be able to apply them to more sophisticated applications with ease. Lists, for example, are one of the most adaptable data structures. They may store heterogeneous elements (items of several data types), such as text, numbers, and even other lists.

Lists are also changeable, which is a key feature that makes them a popular choice. This allows you to modify their elements even after the list has been created. Many issues like these will be covered in this module of our Python free courses.

Python Packages

Python is widely used by data scientists for a variety of reasons. One of the reasons for this is the vast number of libraries in the area. There are around 1,37,000 Python libraries available. This figure should give you a sense of the importance of these libraries.

These libraries make it easier for developers to conduct related tasks by simplifying particular procedures. You’ll learn about several Python libraries used by data scientists, such as NumPy, matplotlib, and Pandas, in this segment of our free online Python course for beginners.

A Python library is a collection of reusable code that makes it easier to do certain tasks. Its libraries, unlike C or C++, are not context-aware. They are assemblages of modules. You may use the functionality of a module from another program by importing it.

NumPy, for example, allows you to easily execute mathematical operations in Python. It has a lot of high-level mathematical functions and multi-dimensional matrices and arrays are supported. Knowing how to use these libraries can aid you in completing data operations.

EDA

In the last segment of our free Python online course, you’ll learn how to use this computer language to conduct EDA. Exploratory Data Analysis (EDA) is a type of data analysis that focuses on comprehending the data so that significant insights may be derived from it.

EDA is an important part of data analysis since it allows you to uncover a lot of information in your data. Exploratory data analysis, for example, may be used to find outliers. Outliers must be detected in order to clean data.

How to Begin

To enroll in our Python online course for free, simply follow these steps:

  • Go to our upStart website for more information.
  • Choose the course ā€œPython for Data Science.ā€
  • Register by clicking the Register button.
  • Fill out the registration form.

That is all there is to it. With our newly established upStart program, you can study Python online for free and get started on your data science adventure. It would just take 30 minutes every day for a few weeks. This software requires no monetary investment.

What are the most important aspects of this course?

This course offers a variety of free extras. This free Python course from upGrad is taught by industry specialists, so you may ask them any questions you have. It is professionally developed and contains cutting-edge information to ensure that you do not receive a subpar syllabus and lag behind your peers.

Aside from that, this course offers live weekly sessions to relieve you of stress. You will also receive an upGrad-certified course completion certificate after completing the course.

Why is Python regarded as the most suitable programming language for Data Science?

Aside from the syntax’s simplicity and ease of learning, this programming language has a number of complex libraries with numerous capabilities. Python is one of the greatest programming languages for data science because of this.

When compared to its counterparts such as R and Scala, Python has retained its position as the most versatile language in terms of scalability, speed, and dependability. It also boasts one of the most active communities, which works tirelessly to maintain it up to date and assist developers all around the world.

What role does the Python for Data Science course have in my data science interview preparation?

This course will assist you in establishing a solid foundation of key principles and will answer any questions you may have about the subject. If you know the fundamentals, you’ve already completed half of your interview preparation.

After finishing the course, you must complete all of the tasks, as well as additional, practice using internet resources. This level of preparation will enhance your confidence and prepare you to ace any interview.

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UpGrad Free Courses with Certificate Online

Best upgrad free Online certificate Courses You Should Think About Upskilling!

1. Business Analytics Starter Pack

  • The value of Business Analytics will only grow as we continue to sit in a data goldmine. Companies have limited use for data in its raw form. This is where Business Analytics comes in to help make sense of massive datasets’ hidden insights. These insights are then used to create and alter corporate plans and concepts.
  • The Business Analytics course at upGrad is a six-week curriculum. It will provide you with an overview of all the buzzwords and key principles in Data Science. You’ll learn how to recognise business problems and develop hypotheses to address them.
  • The course will show you how to use Business Analytics to help you make data-driven business choices. You’ll also learn how to highlight significant data insights using Excel and Excel-based EDA approaches.

2. Python for Data Science

Python is without a doubt one of the most popular programming languages among developers and Data Scientists. It is a good language for beginners because of its English-like grammar and simple learning curve. Python’s uses have expanded beyond software development and into the field of data science. Its wide range of libraries, modules, and frameworks further its appeal and potential.

The Python for Data Science course contains a step-by-step Python tutorial that covers all of the language’s essentials, such as lists, strings, and data structures. EDA, Feature Engineering, Big Data Optimization, Deep Learning, Predictive Analytics, NLP, and Recommendation Engines are examples of current Data Science jargon.

You’ll also have a chance to learn about and utilise three popular Python libraries: NumPy, Pandas, and Matplotlib. The course duration is four weeks. 

3. Machine Learning Concepts (Introduction)

Machine Learning is currently a dominant force in the business. ML technology is here to stay, from powering key tools and services we use every day to developing complicated ML applications for business. The market for experienced and trained machine learning professionals is increasing, which is exactly why you should consider learning them!

The Introduction to Machine Learning course will teach you the fundamentals of machine learning, concentrating on three key areas: logistic regression, linear regression, and clustering.

You’ll learn how to utilise Logistic Regression to accomplish binary factor classification and Linear Regression to estimate the potency of a link between a dependent variable and many independent variables in just six weeks.

4. Deep Learning and Natural Language Processing: An Overview

Machine Learning is a subset of Deep Learning. It is the technology that underpins self-driving cars, smart personal assistants, face recognition systems, and customer relationship management systems. Deep Learning has now assisted Data Scientists in unlocking many levels of representation for genuine human languages, allowing Natural Language Processing (NLP) to go to the next level. NLP’s best uses include machine translation, sentiment analysis, text summarization, speech processing, and picture recognition.

This four-week course focuses on teaching students how to comprehend Deep Learning and NLP topics using various Mathematical tools, approaches, and strategies.

You may comprehend how neural networks operate and how to apply feedforward and backpropagation algorithms if you learn basic arithmetic ideas and techniques.

Students will learn how to utilise regex to develop real-world products like spell correction, phonetic hashing, and spam detection as well as get a thorough understanding of NLP fundamentals.

5. Data Science Statistics

In Data Science, statistics plays a critical role. Different statistical tools and approaches are used by Data Scientists, Data Analysts, BI Analysts, and ML Engineers to process and analyse data in order to identify significant patterns. In order to solve real-world business challenges, both quantitative and qualitative statistical studies are essential.

In just five weeks, upGrad’s Statistics for Data Science course seeks to teach students the fundamentals of inferential statistics and hypothesis testing. You will learn the fundamentals of probability, numerous types of distributions, and sampling procedures in this course.

You’ll also learn how to use hypothesis testing ideas to see if your population data assumptions are correct using a sample dataset. The course includes an assignment in which you apply your theoretical knowledge to QA testing of painkiller medications produced by a pharmaceutical business.

6. E-commerce Data Science

One of the most compelling use cases for Data Science technology and applications is in the eCommerce business. eCommerce businesses may use data science technologies to increase productivity, increase sales, improve personalisation, and improve the entire consumer experience.

This five-week Data Science in eCommerce course comprises five courses. The first session teaches you all you need to know about the algorithms that power Recommendation Engines. Price optimization, market mix modelling, and A/B testing will all be covered. This course’s project is to create a beer recommendation engine based on user preferences.

7. Excel: A Beginner’s Guide (Basics & Advanced)

Microsoft Excel is the gold standard for data processing and analysis, and it is one of the most extensively used programmes. It has a wide range of data analysis tools, from basic mathematical calculations to advanced statistical studies. Excel proficiency may boost your employability and make you a valued addition to a firm.

You will learn how to utilise Excel to execute regular data analysis operations, identify trends within data, and present your results simply and concisely in this four-week upGrad course. This course will show you how to use Excel to do EDA (exploratory data analysis).

8. SQL Programming: A Beginner’s Guide

For data mining and manipulation, SQL is an ideal choice. It allows developers to effortlessly mix data from several sources and examine the retrieved data in real-time. Additionally, the SQL programming language is perfect for database and server management. SQL developers are in high demand as the number of industrial use cases for SQL continues to grow.

This SQL course is a four-week curriculum that teaches students the fundamentals of SQL and MySQL, as well as database architecture. You may study advanced SQL concepts like window functions, case statements, stored functions, and query optimization once you’ve mastered the foundations. In the last lesson, you’ll complete an assignment in which you’ll use your SQL skills to calculate when to purchase and sell stocks.

 

9. How to Begin Programming in Java

Java is a popular programming language among programmers and data scientists all around the world, and for good reason. This multi-threading, platform-independent language is dynamically typed. Java is capable of seamlessly managing complicated operations such as memory management. It has widespread community backing. Java is used in the tech stacks of companies such as LinkedIn, Google, Android, Netflix, Amazon, Spotify, Apple, Slack, and Intel.

The six-week Java programming course covers all of the necessary Java fundamentals. Variables, data types, conditionals, loops, and functions are all covered. It also focuses on four basic OOP principles: abstraction, encapsulation, inheritance, and polymorphism, which are used to build on object-oriented analysis and design.

 

10. A Brief Overview of Blockchain

Blockchain technology is a hot issue in the market that is rapidly gaining traction alongside AI and machine learning. Blockchain is now infiltrating other industries, including healthcare, education, real estate, logistics, manufacturing, and others, after revolutionising the BFSI industry with its disruptive approach. As the use of Blockchain technology grows in the business world, new jobs needing Blockchain knowledge and abilities are emerging.

The upGrad Blockchain introduction course is a two-week curriculum that teaches students the fundamentals of Blockchain technology and cryptography, including Smart Contracts, Digital Signatures, and Public Key Infrastructure (PKI). You will obtain a thorough understanding of Smart Contracts, their functionalities, and Blockchain’s industrial applications.

11. Ethereum Blockchain Development

Ethereum is a decentralised open-source Blockchain technology that is primarily used to create and operate Smart Contracts and Distributed Applications (DApps). It’s the technology that underpins the ether cryptocurrency (ETH). Ethereum is a decentralised peer-to-peer network that is not regulated or controlled by any single organisation or government.

Ethereum is the topic of this four-week Blockchain curriculum. While the course covers the fundamentals of Blockchain, it also covers the worldwide applications of the technology. You will gain real experience designing and building Smart Contracts and deploying them on the Ethereum network.

12. Node.js for Beginners

Node.js for Novices Node.js is a cross-platform, open-source JavaScript runtime environment based on Chrome’s V8 JavaScript engine. It lets developers to construct command-line tools and server-side scripting using JavaScript code that can be executed outside of a web browser.

This short-term course will teach you the fundamentals of Node.js and how to use it to create network apps. You’ll also learn how to develop Javascript apps and run them on several operating platforms (OS X, Windows, and Linux) using the Node.js runtime in just two weeks!

13. Use Data Structures and Algorithms to Succeed in Interviews

The two most important cornerstones of programming are data structures and algorithms. While data structures store (contain) data, algorithms aid in the resolution of business problems. Developers may construct scalable programmes using data structures and algorithms.

Learners are introduced to the world of data structures using upGrad’s programme, which teaches them the fundamental principles of arrays and linked lists. You will learn about algorithm analysis and how to evaluate the efficacy of various algorithms.

The course will teach you how to use searching and sorting algorithms, as well as stacks and queues, in a variety of ways. You’ll work on two projects: one focuses on utilising the search method when the array size is unknown, and the other focuses on developing new capabilities in a browser using stacks and queues.

14. Using React.js to Create a Phone Directory App

React is a JavaScript library for creating interactive user interfaces and components. You may create views for each state in your application using React. Declarative views make your code more predictable and debug-friendly. It allows you to create complicated user interfaces using ā€œcomponents,ā€ which are little pieces of code.

You will study the essential ideas of React.js while designing the UI for a Phone Directory application in this three-week upGrad course. This project will teach you how to manage the view layer in web/mobile projects and how to develop reusable UI components using React.

15. A Beginner’s Guide to Front-End Development

There is a huge need for Frontend Developers right now. Web development has become a lucrative career option for prospective developers as more firms establish their presence in the digital sphere. Frontend developers are largely responsible for developing and implementing website user interfaces (with which end users interact). They might work for themselves as freelance developers or for businesses.

This is a four-week course on JavaSript Frontend Development. There are two modules in the curriculum. Variables, data types, conditionals, loops, arrays, objects, and functions are among the core ideas of front-end development covered in the first module. The second module covers advanced and intermediate topics such as scope, closures, hoisting, prototypes, asynchronous nature, and callbacks.

16. How to Begin a Digital Marketing Campaign

The way companies communicate with their consumers and build brand recognition has entirely changed thanks to digital marketing. In today’s digital world, firms that do not have an online presence are missing out on a plethora of options to sell their products to the proper audience and broaden their market reach.

To assist organisations in developing a complete marketing plan, digital marketing integrates numerous strategies such as SEO, SEM, PPC advertisements, social media marketing, content marketing, email marketing, and so on.

The Digital Marketing programme at upGrad lasts five weeks. Fundamentals of Marketing, Social Media Marketing, Search Engine Optimization, Search Engine Marketing, Email Marketing, and Web Analytics are the five modules that cover the essentials of Digital Marketing.

17. Management Requirements

In today’s industry, management abilities are quite valuable. Companies are continuously on the hunt for people with specialised skills and subject knowledge, as well as experience in business management. You may imbue leadership and team spirit, as well as a problem-solving attitude, by learning management skills. Because these talents are applicable to practically every business, you’ll be able to obtain work in a variety of fields.

This is a three-week business management introduction course that covers important skills such as presentation, negotiation, and persuasion. You’ll learn how to establish a successful brand strategy, price strategy, and audience targeting while learning important marketing principles.

18. Everything You Need to Know About Social Media Marketing

Social media is no longer just a way to interact with individuals all over the world. Social media platforms are being used to link companies with potential clients and buyers with vendors all around the world. It’s a marketing tool that businesses can’t afford to overlook.

You will study the development of marketing and marketing communication in this social media marketing course. You’ll also learn how to use the correct digital channels to create practical marketing plans. The course also teaches students how to develop social media strategies by providing them with a thorough understanding of the social media landscape.

19. Become familiar with the most important digital marketing skills for 2020-

As previously said, firms across all industries place a high value on Digital Marketing expertise. For professions such as Digital Marketing Manager, Content Strategist, SEO/SEM Specialist, UX Designer, and Social Media Marketer, digital marketing specialists typically attract hefty yearly compensation.

This six-week Digital Marketing course from upGrad is designed to help students grasp subjects such as social media marketing, search engine marketing, and content marketing. You’ll learn how to develop efficient marketing campaigns, run advertisements on various marketing platforms, and measure important data to track campaign effectiveness, in addition to theoretical knowledge.

Conclusion

Each of these upGrad courses includes one-on-one student-mentor contact, high-quality learning resources, weekly live lectures, industry assignments, and a certificate of course completion – all for free!

These courses last from 2 to 8 weeks, which is a reasonable amount of time for students and working professionals. You may develop market abilities and knowledge by devoting 30-45 minutes every day to it.

All of the Lifelong Learning initiative’s free upGrad courses were developed in conjunction with prominent industry professionals. These courses, like other upGrad programmes, will be taught by top-notch educators.

Check out our IIT Delhi programmes as well. IIT Delhi is one of India’s most prominent institutions. With more than 500 in-house faculty members who are experts in their fields. To deliver industry-relevant courses, upGrad has collaborated with renowned Indian schools such as IIT Delhi and IIM K.

Frequently Asked Question

Q. What is the purpose of upGrad’s Free Courses initiative?

What the world is witnessing right now is genuinely unparalleled. We’re all afflicted with a sense of utter insecurity. Only time will tell how things turn out, but how we use our time right now can have a huge impact on our future. The purpose of upGrad’s Free Courses is to help you learn some of the hottest talents that are popular in the industry today in 6-8 hours for free.

Q. Is it necessary for me to pay anything in order to begin learning?

You may select any number of programmes from among the 60+ available and have access to them at no cost. You don’t even need to submit your credit or debit card information!

Q. Who should sign up?

upGrad develops programmes in the fields of data, technology, and management in collaboration with prominent industry leaders and academic institutions. These 35 programmes were chosen by a globally respected team of instructional designers.

These programmes have been created to assist you in gaining a basic grasp of the various themes. They are ideal for working people because they are simple to ingest and allow you to complete the programme on your own time.

So, if you’ve been wanting to add a skill or two to your resume, programmes provided via upGrad’s Life Long Learning initiative can help you accomplish so by devoting just a few hours each week.

These abilities may not be immediately useful to you at times, but learning is considered to have a favourable influence on your mental health in general. If you’re worried about the future, these apps can help you spend your time more productively. Learning new abilities can also help you get a competitive advantage over your competitors and stay ahead of the curve.

There are certain skill prerequisites for some of the courses; please study them before joining. The first step toward success is to select the appropriate course.

Q. Is there a chance I’ll receive a certificate?

Yes, if you’ve completed all of the modules in your programme, you’ll get an e-Certificate of Completion. To be eligible for the certificate, you must finish all of the programme modules that show under the ā€œCourse Card.ā€ upGrad uses innovative technology to track student progress. When the required programme period expires, this will be provided.

Q. Is there a time limit on how long I may access the content?

We’re continually updating our course collection to provide you with a diverse range of topics to upskill in, as well as to keep it new. As a result, most courses have an end date – the present courses are available until March 1, 2022. It’s advisable to double-check each course’s deadline and make sure you finish before it expires!

Q. What if I’m interested in learning more?

Our learning portal will provide you with an overview of upGrad’s comprehensive learning experience as well as a look at the many programmes available. You can review the information and set up a conversation with an Admissions Counselor, who will assist you choose the programme that will most likely help you progress your career.

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UpGrad Full Stack Developer Course: Online Courses & Certifications

Upgrad Full Stack Developer Course

Overview of the Program Highlights

  • Get a free four-month Executive Certification in Data Science and Machine Learning.
  • Alumni Status of IIIT Bangalore World-Class Faculty Members & Industry Experts
  • Live Lectures + Online Sessions
  • 10 Programming Languages & Tools
  • Option for no-cost EMI
  • Software Transitioning Your Career Bootcamp for non-technical people and novice coders (new)
  • 7+ Projects and Case Studies
  • For free, exclusive access to Data Science and Machine Learning.
  • UpGrad 360° Career Support – job fairs, practice interviews, and more are accessible 24 hours a day, seven days a week.
  • E-portfolio- Using an e-portfolio, you may demonstrate your experience and talents to potential employers. Get professional tips on how to create a killer GitHub profile.

Exceptional abilities Fundamentals of Computer Science, Software Development Processes, Building Robust, Scalable Websites, Backend APIs, and Rich and Interactive Web User Interfaces are among the topics covered.

Full-Stack Developers, Backend Developers, Frontend Developers, and UI Developers are all available positions.

Audience Specified

Freshers are interested in a career in software development, software development, IT professionals, engineering, analysis, and tech support professionals.

Minimum Qualifications

Bachelor’s degree with a passing grade of 50% or above. Prior coding experience is recommended but not required.

Syllabus

  • Videos, cases and projects, assignments, and live sessions from top instructors and industry professionals provide best-in-class information.

2 Weeks of Java Programming Fundamentals

  • Basic data structures and programming language fundamentals (Java)

3 weeks Abstraction and Encapsulation in Java Object-Oriented Programming

  • Arrays, ArrayLists, and Linked Lists Inheritance and Polymorphism 
  • Assignments (optional)

Software Engineering + OOD

  • SDLC and Agile Methodology in 4 Weeks
  • Testing and Version Control Assignment for Object Oriented Design – OOAD

Algorithms and Data Structures

  • 12 week period
  • Recursion + Algorithm Analysis
  • Sorting and Searching (Divide and Conquer included)
  • Stacks and Queues are two different types of queues.
  • Dictionaries and Sets (Hashtable, Trees and BSTs, Heaps)
  • Algorithms that are greedy
  • Dynamic Programming (Dynamic Programming) is
  • Algorithms for Graphs and Graphs
  • Assignment Requirement

Soft Skills

  • Ā 1 week
  • Interview Skills

Internet & Networking Fundamentals are required prerequisites.

Front-end development and user interfaces

  • 8-week period
  • CSS & HTML
  • DOM & JavaScript
  • Web development frameworks with advanced JavaScript, Ajax, and backend integration (React)
  • Frontend project/assignment

Development of the backend

  • 9-week period
  • Relational Database Management Systems (SQL and RDBMS) Optional extra week
  • NoSQL hands-on – MongoDB +1 week optional
  • Spring Core and Spring Boot: An Overview
  • Designing Microservices Applications at the Data Access Layer and Service Layer
  • REST and the Controller Layer (Introduction)
  • Aspect Oriented Programming (AOP) with Microservice Application Security Communication
  • Application Development Assignment/Project

Deployment and Software Architecture

  • 7-week period
  • SOLID principles and patterns for distributed systems design
  • DevOps Cloud-Native Deployment Assignment/Project System Design

Capstone Project

 4 weeks

Capstone Project (group)

Projects in the Industry

Real-world industry initiatives sponsored by prominent firms in a variety of areas provide opportunities to learn.

Participate in group projects and learn from your peers.

Mentoring from industry professionals to help you learn and apply more effectively

Subjective feedback on your contributions that is tailored to you in order to help you develop.

Interactive Live Sessions with Leading Industry Experts covering Curriculum + Advanced Topics and Industry Expert Guidance

  • Personalized Industry Sessions with industry experts in small groups (of 10-12) to supplement program content with unique industry-based learning
  • Student Assistance
  • Student Support is available seven days a week, twenty-four hours a day, seven days a week.
  • You can reach out to us at studentsupport@upgrad.com. Use the Learn platform’s ā€œTalk to Usā€ option for urgent questions.
  • Bootcamp for Career Change

Learn skills that will assist you in making the move to a Software Development position (SD1, SD2, SD3, Senior Software Engineer, Senior Software Developer)

Content tailored to your level of expertise

1-on-1 Industry Consultation with Industry Experts

Additional Assessments of Industry Readiness

Amazon, Google, and Microsoft have all contributed to this comprehensive collection of interview questions.

Preliminary rounds of interviews at IT companies are relevant.

UpGrad offers a Certificate of Completion for Data Structures and Algorithm Bootcamp.

Customized Industry Sessions are led by an industry expert for a small group of 10-12 learners with comparable profiles to explore real-world applications of ideas and receive personalized coaching.

Coaching for High Performance (1:1)

Hire a specialized career coach to help you remain on track to reach your career objectives, improve your profile, and guide you through your career path.

Sessions of Career Mentorship (1:1)

Experts can provide individualized career landscaping to help you map out the finest options.

Preparing for an Interview

Assist in honing your hard and soft skills in preparation for an interview.

The Admissions Procedure

STEP 1:Ā Complete an application and take a 20-minute online test with multiple-choice questions.

STEP 2: Candidate Evaluation and Shortlisting

STEP 3: Candidate Evaluation and Shortlisting

All applications will be reviewed by our professors, who will take into account the applicant’s educational and professional history as well as any test scores. Following that, offer letters will be sent out, ensuring that you have a strong peer group with whom to study and network.

STEP 4: Register for Prep Content Access.

STEP 5: Register for Prep Content Access.

Make a simple block payment, with help from our financial partners if needed, and get immediate access to the prepped content so you can start your upGrad adventure.

What’s Included in the Price Features/Benefits Program for working professionals who don’t want their personal or professional lives to be disrupted

  • Free access to exclusive content in Data Science and Machine Learning.
  • Learn from a world-class faculty that combines excellent academics, considerable industry experience, and international exposure.
  • UpGrad 360 degrees career help in terms of job fairs, resume development, career coaches, mock interviews, and more upGrad hiring possibilities from Uber, Microsoft, PwC, Genpact, and more

 

Frequently Asked Questions

Q. What is the Executive PG Program in Software Development – Full Stack Development Specialization with UpGrad?

The Executive PGP is a 13-month online program that focuses on developing practical knowledge and abilities, building a professional network, and accelerating entrance into full-stack development professions for working professionals. IIIT Bangalore bestows the certification.

Q.What should I anticipate from my learning experience?

The program will include interactive lectures from industry executives and world-renowned experts. In addition, the curriculum includes live lectures or hangout sessions aimed at answering your academic questions and reinforcing what you’ve learned.

Q.Is there any kind of certification given at the end of the program?

IIIT Bangalore will award an Executive PG Programme in Full Stack Development Development upon satisfactory completion of the curriculum.

Q.Do I have to select the specialization that upGrad recommends?

No. Once you’ve completed the main curriculum, you can pick any specialty you like. However, we strongly advise you to follow our advice, since it is based on a complex rule engine and is designed to present you with the best possible outcome for your background, making it simpler for you to make the move.

You may also obtain credentials for both the 4-month Data Science & Machine Learning certification and the 12-week Software Development Fundamentals (Data Structures & Algorithms) for non-tech and novice coders.

Both classes are free and optional.

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Advanced Certificate Programme in Cloud Backend Development

Overview of the Program Highlights

Designed for Professionals in the Workplace

250+ Learning Hours

EMI options are available at no cost.

IIIT Bangalore Advanced Certificate

Alumni Status at IIIT Bangalore

Mentorship from Cloud – Backend Development Experts on a one-on-one basis

Assistance with Job Search (Job Opportunities Portal, Hiring Drives, Resume Building & more)

Using an e-portfolio, you may demonstrate your experience and talents to potential employers.

For non-academic questions, Student Support is accessible seven days a week, twenty-four hours a day, seven days a week. Please contact us at studentsupport@upgrad.com. Use the Learn platform’s “Talk to Us” option for urgent questions.

Get tips from the pros on how to create a killer GitHub profile.

Minimum Qualifications

Bachelor’s degree with a passing grade of 50% or above. It is necessary to have prior understanding of Java, Data Structures, and Algorithms.

Audience You’re After

Data Professionals, Java & Other Coding Professionals, Testing Professionals, Cloud Developers, IT and Technology Professionals, Project Leads and Managers in IT/Tech Companies, Data Professionals, Java & Other Coding Professionals, Testing Professionals, Cloud Developers

Amazon Web Services, SQL & NoSQL Databases, Spring Boot, Spring Cloud, Microservices, Cloud-Native Development, Deployment, and many more topics will be covered.

Job Prospects

Cloud Developer, Software Engineer, Backend Engineer, and Cloud Software Developer are all terms used to describe a person who works in the cloud.

Syllabus 

Best-in-class information in the form of videos, cases and projects, assignments, and live sessions from prominent instructors and industry professionals.

Pre-Requisites

Types of variables and data (Optional)

Functions and conditional loops (Optional)

Abstraction(Optional)

Polymorphism and inheritance (Optional)

Linux Fundamentals & Scripting (Optional)

Basics of the Internet and Networking (Optional)

Cloud Databases and Distributed Systems

Introduction to Distributed Systems in 5 Weeks

AWS and the Cloud (Introduction)

Relational Database Management Systems (SQL and RDBMS)

MongoDB Assignment: Databases Hands-on with NoSQL

Microservices Design and Development

Twelve Weeks

Data Access Layer & Service Layer Introduction to Backend Architectures Introduction to Spring Core & Spring Boot

Using Microservices to Create Applications

Exception Handling, Application Security, and REST & Controller Layer AOP

Microservices’ discovery and communication

Messaging Models for Asynchronous Communication

Exam Week for the course project: Hotel Room Booking Application

Cloud-Native Application Development and Deployment without a Server

AWS Lambda Web Application Optimisation and Serverless Architecture in 9 Weeks

Debugging and Troubleshooting Microservices

Offerings for Cloud-Native Applications in Spring Cloud

Docker for Application Deployment

Using Kubernetes to deploy containers at scale

Using AWS to deploy web apps Beanstalk with Elasticity (Optional)

Exam Week: Course Project: Application Deployment Using Docker

4 Week Capstone Project

BookMyConsultation App is the capstone project.

Advantages of UpGrad

Possibilities for advancement in upgrad

Elevate by upGrad: A virtual hiring drive that allows you to interview with upGrad’s 300+ hiring partners.

Portal for Job Openings: At any one time, upGrad’s Job Opportunities page includes 100+ positions from upGrad’s hiring partners.

Relevant Internships for students interested in acquiring practical experience

Following graduating, Access to industry experts for advice, upGrad’s employment opportunities portal, and upGrad’s career aid resources

Preparing for Interviews and Creating a Resume

Before your interview, talk to industry experts and ask any questions you have.

Throughout the lessons, you’ll find over 100 regularly requested interview questions.

Preparation for a Specific Company

Interviews Done-On-Demand: Mock interviews are a great way to get business and role-specific preparation before your actual interviews.

To ensure you’re interview-ready, you’ll get access to a carefully chosen library of interview tools from prominent organisations.

Mentoring from an industry expert

Before every interview, you’ll have access to industry experts for customised advice.

Live interactive workshops with industry professionals covering core and advanced subjects are available.

Experiential Learning & Networking

Technical professionals monitor a live discussion forum for peer-to-peer doubt resolution.

Lab walkthroughs of industry-driven projects Peer to peer networking opportunities with a pool of over 10,000 alumni

Weekly meetings for resolving doubts in real time

Projects that you can do yourself

4 assignments/projects

There are 8+ practise projects to help you hone your abilities.

Placement Assistance

upGrad Elevate: 300+ Hiring Partners in a Virtual Hiring Drive

At any moment, you may access a Job Opportunities Portal with over 100 job positions.

Mentorship Sessions with Industry Experts on a One-on-One Basis

Dedicated Professional Mentor to help you monitor your career objectives and prepare for interviews.

Workshops on creating a professional profile and one-on-one resume reviews

After completing the programme, you will receive three months of career support.

Specific to a company Access to specialists and alumni for interview preparation, as well as a collection of resources per organisation.

Frequently Asked Questions

Q. What is the Cloud Backend Development Advanced Certificate Program with upGrad?

Ans. This 7.5-month curriculum covers Cloud Backend Development topics in an industry-relevant yet academically rigorous manner. It is developed primarily for working individuals with backgrounds in Math/Software Engineering/Statistics/Analytics who want to obtain practical skills and speed their entry into Cloud Backend Development careers.

Q. What should I anticipate from this programme?

Ans. The curriculum focuses on designing, developing, and deploying Microservice-based backends for web applications. Because the programme will be fully hands-on with Java programming, learners are required to have a prior hands-on mastery of Java.

Q. What should I not anticipate from this program?

Ans. The concepts of Cloud Infrastructure are not covered in this curriculum. Cloud-Backend Development is the topic of our Advanced Certificate Program. The curriculum focuses on creating Microservice-based backends for web applications. Beginning with the basics of Java programming. Learners are assumed to have prior experience with Java.

Q. In the online programme, how will my doubts/questions be addressed?

Ans. All academic ambiguities would be clarified as follows:
Peer-to-peer discussion forum where you may post your questions and get them answered within a day by your peers/faculty/teaching assistants.
Q&A session with instructors to clear out any conceptual ambiguities.

Q. Which banks accept 0% credit card EMI or 0% credit card EMI?

Ans. All major banks provide no-interest EMI on credit cards (American Express, Bank of Baroda, HDFC Bank, ICICI Bank, IndusInd Bank, Kotak Mahindra Bank, RBL Bank, Standard Chartered, Axis Bank, Yes Bank).

Q. Is there a charge or a deposit required?

Ans. On 0% Credit Card EMI transactions, some banks levy minimal processing costs ranging from INR 99 to INR 500. If you are charged, you will be invoiced in the first instalment of your repayment plan.

Q. What is the procedure for applying to this programme?

Ans. Test of Selection
Complete an application and take a 20-minute online test with multiple choice questions.
Review and Selection of Appropriate Candidates
All applications will be reviewed by our professors, who will take into account an applicant’s educational and professional experience, as well as any test scores. Following that, offer letters will be sent out, ensuring that you have a strong peer group with whom to study and network.
Enrollment for Prep Content Access
Make a one-time block payment to gain instant access to the prep materials and get started on your upGrad adventure. (If needed, loan help is available.)

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Executive PG Programme in Data Science

Start your Data Science career with India’s #1 online Data Science programme, which is matched to NASSCOM’s competence requirements created in partnership with industry and government approval. Begin your adventure today at INR 7,992 per month.

Eligibility: Bachelor’s degree with a minimum of 50% required.

Concerning the Program-

Choose from six specialities, benefit from professional mentorship and career assistance, and study 14+ programming tools and languages, among other things.

6 Distinctive Specializations

Depending on your experience and professional goals, you can choose from six specialities. IIITB offers an Executive PGP in Data Science with a specialty.

Dedicated Career Support

You’ll get one-on-one career counselling and simulated interviews with recruiting managers. Our 300+ hiring partners can help you advance your career.

Student Assistance

For your convenience, Student Support is accessible 24 hours a day, 7 days a week. Use the platform’s Call Back option for urgent questions.

Overview of the Program Highlights

Python Programming Bootcamp is provided free of charge.

Designed for Working Professionals, the Career Essential Soft Skills Program

Status of IIIT Bangalore Alumni 14+ Programming Languages and Tools

60+ Projects in the Industry

The first EPGP in India SSC NASSCOM Competency Standards are followed.

For your convenience, Student Support is accessible 24 hours a day, 7 days a week.

Sessions of career mentoring (1:1)

High-Performance Coaching High-Performance Coaching is a portal that provides exclusive job possibilities (1:1)

Just-in-Time Interviews are a type of interview that takes place when it is most convenient

Personalised Industry Session with AI-Powered Profile Builder

Assessments of Industry Readiness

Bootcamp for Professional Development

Top Skills You’ll Pick Up

Machine Learning, Data Visualization, Big Data, and Natural Language Processing are all examples of predictive analytics utilising Python.

Jobs Available

Data Analyst, Data Scientist, Data Engineer, Product Analyst, Machine Learning Engineer, and Decision Scientist are all terms used to describe people who work with data.

For Whom Is This Program Intended?

Freshers, Domain Experts, Software & IT Professionals, Engineers, Marketing & Sales Professionals, Freshers, Domain Experts, Software & IT Professionals

Minimum Qualifications

A bachelor’s degree with a minimum of 50% or equivalent passing grades is required. There’s no need to know how to code.

Syllabus

Best-in-class information from top academics and industry experts in the form of videos, cases and projects, assignments, and live sessions.

Content Data 

Analysis in Excel Analytics Problem Solving 

Content Data Analysis in Excel Analytics Problem Solving 

The Data Toolkit is the first course.

2 Assignments in 13 Weeks

Python Programming for Data Science (Introduction to Python Programming in Python)

Credit EDA Case Study Data Visualization in Python Exploratory Data Analysis

Data Analysis with SQL Advanced SQL & Best Practices Inferential Statistics Hypothesis Testing

RSVP Movies is a SQL assignment.

Machine Learning (Course 2)

8-Week Program

3 different assignments

Regression Linear

Assignment on Linear Regression

Logistic Regression is a technique for predicting the outcome of

Clustering Business Problem Solving Through Unsupervised Learning

Assigning Clusters (Optional)

Lead Scoring as a Case Study

Deep Learning is a specialisation.

4 Assignments in 25 Weeks

Models of Trees

Model Selection and ML Techniques in General

Advanced Regression Assignment Advanced Regression Bagging and Boosting

Analyze the Principal Components

Analysis of Time Series

Case Study on Telecom Churn

Neural Networks: An Overview

Introduction to Convolutional Neural Networks and Industry Applications

Assignment for CNN

Recurrent Neural Networks (RNNs) are a type of neural network that

Capstone Project on Gesture Recognition

Natural Language Processing Specialization 25 Weeks 4 Assignments

Models of Trees

Model Selection and ML Techniques in General

Analyze the Principal Components

Advanced Regression Assignment Advanced Regression

Time Series Analysis: Bagging and Boosting

Telecom Case Study of a Churn

Lexical Analysis

Syntactic Analysis

-Assignment on Syntactic Processing

Automatic Ticket Classification Capstone Project Using Neural Nets for NLP Semantic Processing

Business Analytics Specialization 25 Weeks 9 Assignments

Models of Trees

Model Selection & General Machine Learning Techniques Time Series Forecasting Retail-Giant Sales Forecasting Assignment

Tableau Advanced Excel Visualization

Telecom Case Study of a Churn

Using Frameworks to Solve Structured Problems

Assignment Operations for Structured Problem Solving Business Case Study on Research Data Storytelling

Project Capstone

Business Intelligence/Data Analytics Specialization 25 Weeks 9 Assignments

Advanced SQL and Best Practices for Data Modeling

Advanced Excel NoSQL Databases and MongoDB SQL Weeklong Lab Introduction to Big Data and Cloud Hive and Querying Hive Case Study

Tableau is used to visualise data.

IPL Visualization Assignment – Sports Analytics

Data Storytelling Business Case Study Capstone Project Visualization using PowerBI Visualization with Plotly

Data Engineering is a 25-week specialisation with 11 assignments.

Big Data: An Overview (Optional)

AWS Setup and Introduction to the Cloud

Assignment on Hadoop and MapReduce Programming (Introduction to Hadoop and MapReduce Programming) (Optional)

Relational Database Modeling and Data Management NoSQL Databases and Apache HBase and NoSQL Databases and MongoDB (Optional)

Data warehousing is a term that refers to the process of storing (Optional)

Data Ingestion and Querying with Apache Sqoop and Apache Flume Hive (Optional)

Redshift is a service provided by Amazon.

Apache: An Overview ETL Data Pipeline Project in Spark

Cloud Infrastructure on AWS (Optional)

Using Apache Flink to Optimize Spark for Large-Scale Data Processing (Optional)

Apache Kafka for Real-Time Data Streaming

Spark Streaming Assignment: Real-Time Data Processing (Optional)

Project: Real-time data processing Capstone Project: Building Automated Data Pipelines using Airflow Analytics using PySpark

Data Generalist Specialization 25 Weeks 5 Assignments

Boosting Tree Models (Optional)

Model Selection and ML Techniques in General

Case Study on Telecom Churn (Optional)

Analyze the Principal Components

Classification (ML Lab I)

Advanced Regression + Machine Learning (ML) Lab 2: Regression

Text-Based Predictive Modeling + Text Analytics & Processing

Tableau is used to visualise data.

Business Case Study on Data Storytelling

Advanced SQL Data Modeling – Week 2

Data Structures in SQL Weeklong Lab – Sets, Dictionaries, Stacks, and Queues

Recursion + Algorithm Analysis

Sorting and Searching

I am participating in a week-long Python lab.

Weeklong Lab-II Capstone Project in Python

Choose one of the six specialisations below based on your experience and professional goals after completing Course 2 (Machine Learning).

Deep Learning

4 Assignments in 25 Weeks

Models of Trees

Model Selection and ML Techniques in General

Advanced Regression Bagging and Boosting

Assignment on Advanced Regression

Analyze the Principal Components

Analysis of Time Series

Case Study on Telecom Churn

Neural Networks: An Overview

Introduction to Convolutional Neural Networks and Industry Applications

Assignment for CNN

Recurrent Neural Networks (RNNs) are a type of neural network that

Capstone Project on Gesture Recognition

Natural Language Processing (NLP) is a 25-week course with four assignments.

Models of Trees

Model Selection and ML Techniques in General

Analyze the Principal Components

Advanced Regression Assignment Advanced Regression

Time Series Analysis: Bagging and Boosting

Case Study on Telecom Churn

Lexical Analysis

Syntactic Analysis

-Assignment on Syntactic Processing

Neural Networks in Natural Language Processing

Automatic Ticket Classification Capstone Project: Semantic Processing Case Study

Business Analytics is a 25-week course with nine assignments.

Models of Trees

Model Selection & General Machine Learning Techniques Time Series Forecasting Retail-Giant Sales Forecasting Assignment

Tableau Advanced Excel Visualization

Case Study on Telecom Churn

Using Frameworks to Solve Structured Problems

Assignment Operations for Structured Problem Solving Capstone Project: Research Data Storytelling Business Case Study

Data Analytics/Business Intelligence 25 Weeks 9 Assignments

Advanced SQL and Best Practices for Data Modeling

Advanced Excel NoSQL Databases and MongoDB SQL Weeklong Lab

Introduction to Big Data and Cloud Hive, as well as a case study on querying Hive

Tableau is used to visualise data.

IPL Visualisation Assignment Visualisation using PowerBI Visualisation using Plotly Data Storytelling Business Case Study Capstone Project Sports Analytics – IPL Visualisation

Data Engineering is a 25-week course with 11 assignments.

Big Data: An Overview (Optional)

AWS Setup and Introduction to the Cloud

Assignment on Hadoop and MapReduce Programming (Introduction to Hadoop and MapReduce Programming) (Optional)

Relational Database Modeling and Data Management NoSQL Databases and Apache HBase and NoSQL Databases and MongoDB (Optional)

Data warehousing is a term that refers to the process of storing (Optional)

Data Ingestion and Querying with Apache Sqoop and Apache Flume Hive (Optional)

Redshift is a service provided by Amazon.

Apache: An Overview ETL Data Pipeline Project in Spark

Cloud Infrastructure on AWS (Optional)

Using Apache Flink to Optimize Spark for Large-Scale Data Processing (Optional)

Apache Kafka for Real-Time Data Streaming

Spark Streaming Assignment: Real-Time Data Processing (Optional)

Using PySpark to create automated data pipelines with Airflow Analytics

Project: Capstone Project on Real-Time Data Processing

25 Weeks as a Data Generalist

a total of five assignments

Boosting Tree Models (Optional)

Model Selection and ML Techniques in General

Case Study on Telecom Churn (Optional)

Analyze the Principal Components

Classification (ML Lab I)

Advanced Regression + Machine Learning (ML) Lab 2: Regression

Tableau Text Analytics and Processing + Text-Based Predictive Modeling Visualization

Business Case Study on Data Storytelling

Week 2 SQL Weeklong Lab Data Structures – Sets, Dictionaries, Stacks, Queues Data Modelling Advanced SQL – Week 2 SQL Weeklong Lab

Recursion + Algorithm Analysis

Sorting and Searching

I am participating in a week-long Python lab.

Weeklong Lab-II Capstone Project in Python

Projects in the Industry

Real-world industry initiatives sponsored by prominent firms in a variety of areas provide opportunities to learn.

Participate in collaborative projects that include interaction between students and mentors.

Take advantage of the opportunity to learn from skilled mentors in person.

Subjective feedback on your contributions that is tailored to you in order to help you develop.

The Benefits of Upgrad

Hand-holding and devoted support to assist you in mastering Data Science

Interactive Live Sessions with Leading Industry Experts covering Curriculum + Advanced Topics Industry Expert Guidance

Personalised Industry Sessions with industry experts in small groups (of 10-12) to supplement programme content with unique industry-based learning

Student Assistance

For your convenience, Student Support is accessible 24 hours a day, 7 days a week.

Use the platform’s Call Back option for urgent questions.

Sessions of Career Mentorship (1:1)

Receive individualised feedback and mentoring from a seasoned industry expert to help you reach your goals.

Coaching for High Performance (1:1)

After completing the programme, you will be assigned a specialised career coach who will assist you in tracking your professional objectives, coaching you on your profile, and providing assistance during your career transition.

Profile Builder using Artificial Intelligence

On a real-time basis, get detailed, AI-powered inputs on your resume and Linkedin format, as well as content.

Preparing for an Interview

Before your interview, talk to industry experts and ask any questions you have.

Career bootcamps are a great way to brush up on your technical knowledge while also honing your soft skills.

Experiential Learning & Networking

Technical professionals monitor a live discussion forum for peer-to-peer doubt resolution.

Lab walkthroughs of industry-driven projects Peer to peer networking opportunities with a pool of over 10,000 alumni

Weekly meetings for resolving doubts in real time

Assessments of Industry Readiness

For continual assessment and development, domain specialists create and validate industry-oriented tests.

Possibilities for advancement in upgrad

Elevate by upGrad: A virtual hiring drive that allows you to interview with upGrad’s 300+ hiring partners.

Portal for Job Openings: At any one time, upGrad’s Job Opportunities page includes 100+ positions from upGrad’s hiring partners.

To obtain an advantage in the application process, be the first to learn about job openings.

Make contact with firms that are a good fit for you.

Frequently Asked Questions

Q. What is the Executive PGP with upGrad in Data Science?

Ans. The Executive PGP is a 12-month online programme that focuses on developing practical knowledge and abilities, building a professional network, and accelerating entrance into data science employment for working professionals. IIIT Bangalore bestows the certification.

Q. Do I have to select the specialisation that upGrad recommends?

Ans. No. Once you’ve completed the main curriculum, you can pick any speciality you like. However, we strongly advise you to follow our advice, since it is based on a complex rule engine and is designed to offer you with the greatest conclusion for your background, making it simpler for you to transition to a data career.

Q. Will each specialty provide me with unique professional services?

Ans. Each specialty is created to provide you with the best results possible depending on your background and to assist you in entering the data domain. All of the tracks’ services and support will stay the same. According to the criteria in their specialised track, each student will get live sessions, industry mentorship, preparation help, and access to relevant possibilities.

Q. What criteria should I use to determine which specialty is appropriate for me?

Ans. When you’re reaching the conclusion of your common curriculum, upGrad will make a suggestion based on your background that’s ideal for you. Although the final upGrad advice would come from a far more extensive rule engine, the following mapping should give you a sense of which specialty is suitable for you.

-Data Science Generalist: Professionals with 0-5 years of experience who want to advance in Data Science.

-Engineers, software developers, and IT professionals are all interested in deep learning.

-Engineers, Software Developers, and IT Professionals – Natural Language Processing

-Engineers, Marketing and Sales Professionals, Freshers – Business Intelligence/Data Analytics

– Engineers, Managers, Marketing and Sales Professionals, Domain Experts in Business Analytics

– Software and IT Professionals: Data Engineering

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Advanced Certificate Programme in Blockchain

Overview of the Program Highlights

Designed for Professionals in the Workplace

Advanced Certificate Programme from IIIT Bangalore with 250+ hours of learning and no cost EMI options

Alumni Status at IIIT Bangalore

For non-academic questions, Student Support is accessible seven days a week, twenty-four hours a day, seven days a week. 

High Performance Coaching Interview Preparation Exclusive Job Opportunities Portal (1:1)

Profile Builder using Artificial Intelligence

Just-in-Time Interviews are a type of interview that takes place when it is most convenient

Sessions of Career Mentorship (1:1)

e-portfolio

Using an e-portfolio, you may demonstrate your experience and talents to potential employers. Get tips from the pros on how to create a killer GitHub profile.

Top Skills You’ll Pick Up

Distributed Application Development, Ethereum, Hyperledger Fabric (smart contracts development, backend development, API) Show fewer job openings

Blockchain developer, Ethereum developer, Node Js developer, Hyperledger developer, Solidity developer, Javascript developer, and so on. Showing Less of Your Target Audience

Technical Leads, Software Developers, IT Professionals, Engineers, Analysts Show Less Prerequisites for the Program

Bachelor’s degree with a passing grade of 50% or above. Working understanding of data structures and algorithms is necessary, as well as expertise with any high-level programming language (C++, Java, JavaScript, Python).

Placement Assistance

upGrad Elevate: 300+ Hiring Partners in a Virtual Hiring Drive

At any moment, you may access a Job Opportunities Portal with over 100 job positions.

One-on-one career mentoring sessions with industry experts

High-Performance Coaching (1:1) for career monitoring and interview preparation

Workshops on creating a professional profile and one-on-one resume reviews

After completing the programme, you will receive three months of career support.

Specific to a company Access to specialists and alumni for interview preparation, as well as a collection of resources per organisation.

Syllabus 

The best in-class information from top professors and industry experts in the form of videos, cases and projects, assignments, and live sessions.

2 Weeks of Pre-Requisites

Internet & Networking Basics in Javascript

Basics and Applications of Blockchain

Node Fundamentals for 8 Weeks

Basics of the Blockchain

Features of the Blockchain

Fundamentals of Ethereum

DAPP Development in Ethereum Assignment/Project Smart Contract Development in Ethereum

8 Weeks to Create a Distributed Application on Hyperledger Fabric

Fundamentals of Hyperledger

Setup of a Fabric Network

DAPP Development Assignment/Project Chaincode Development

The Design of Blockchain Applications (Delivered Live)

8-Week Program

Architecting and Deployment of UPSTAC Covid Apps

Developing a DeFi-enabled application

Use Cases for Other Blockchain Frameworks

Exam Week for Assignments and Projects

Advantages with upGrad

Possibilities for advancement

Elevate by upGrad: A virtual hiring drive that allows you to interview with upGrad’s 300+ hiring partners.

Portal for Job Openings: At any one time, upGrad’s Job Opportunities page includes 100+ positions from upGrad’s hiring partners.

Expert Advice from the Industry

Curriculum and advanced subjects are covered in interactive live sessions with notable industry experts.

Sessions of Career Mentorship (1:1)

Receive individualised feedback and mentoring from a seasoned industry expert to help you reach your goals.

Coaching for High Performance (1:1)

After completing the programme, you will be assigned a specialised career coach who will assist you in tracking your professional objectives, coaching you on your profile, and providing assistance during your career transition.

Profile Builder using Artificial Intelligence

On a real-time basis, get detailed, AI-powered inputs on your resume and Linkedin format, as well as content.

Preparing for an Interview

Before your interview, talk to industry experts and ask any questions you have.

Career bootcamps are a great way to brush up on your technical knowledge while also honing your soft skills.

Frequently Asked Questions

Q. What is the purpose of this programme?

Ans. The curriculum has been tailored to meet the needs of students in a variety of career sectors and industries. The curriculum would be very beneficial to the following audience’s professional development:
recent college grads
Currently employed in IT support tasks such as testing, maintenance, and support.
Existing software developers in the IT/Tech business, as well as current IT/Tech project leads and managers

Q. In an online programme, how will my doubts/questions be addressed?

Ans.There is a four-tiered framework in place to answer any questions that may emerge during the course:
A dedicated group of Teaching Associates (TAs) is available to assist you with your academic concerns.
A teaching assistant will monitor a private group chat in which you and your team members will support each other in working through the study material and tasks.
Other students react to your questions in a batch-wide discussion forum.

Q. What exactly is a capstone project?

Ans. The capstone project (at the conclusion of the programme) integrates the program’s principles and allows you to apply what you’ve learned in an industry-relevant project, which also helps you develop a project portfolio.

Q. What is the procedure for applying to the programme?

Ans. The application procedure is entirely online and is tailored to your educational and professional background. The major steps in the application procedure are as follows:
Test of Selection
Complete an application and take a 20-minute online test with multiple choice questions.
Review and Selection of Appropriate Candidates
All applications will be reviewed by our professors, who will take into account an applicant’s educational and professional experience, as well as any test scores. Following that, offer letters will be sent out, ensuring that you have a strong peer group with whom to study and network.
Enrollment for Prep Content Access
Make a one-time block payment to gain instant access to the prep materials and get started on your upGrad adventure.

Q. What is the payment plan, and how much must I pay to reserve my place in the programme?

Ans. You must pay a caution money of $15,000 within three days of getting the provisional admission offer in order to reserve your spot in the programme. Failure to do so within this time range will result in the admission offer being cancelled.
The remaining fees must be paid within 15 days after the caution money payment deadline or the programme start date (whichever is earlier)
To assist pay the fees, we have a supply of 0% interest loans and alternative long-term interest loans.
Failure to pay the programme fees within the deadlines will result in the candidate’s place being forfeited.

Q. What is the procedure for applying to the programme

Ans. The application procedure is entirely online and is tailored to your educational and professional background. The major steps in the application procedure are as follows:
Test of Selection
Complete an application and take a 20-minute online test with multiple choice questions.
Review and Selection of Appropriate Candidates
All applications will be reviewed by our professors, who will take into account an applicant’s educational and professional experience, as well as any test scores. Following that, offer letters will be sent out, ensuring that you have a strong peer group with whom to study and network.
Enrollment for Prep Content Access
Make a one-time block payment to gain instant access to the prep materials and get started on your upGrad adventure. (If needed, loan help is available.)

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Digital Marketing Certification Courses

Upgrad digital marketing

Key Highlights-

  • MICA and Facebook certifications 15+ case studies and live projects
  • Alumni Status at MICA
  • With over 80 tools, there’s a video library for everyone.
  • Industry Mentors provide twice-weekly coaching.
  • Personalized Resume Recommendations
  • Hiring Managers Conduct Mock Interviews
  • Option for no-cost EMI

The Most Important Skills You’ll Learn-

SEO, SEM, Social Media, and Content Marketing, Branding, and Marketing Analytics

For Whom Is This Program Intended?

Freshers, Traditional Marketers, Entrepreneurs, Brand and Communication Managers, Sales Professionals

Minimum Eligibility for upgrad digital marketing

Bachelor’s or Equivalent Degree

Job Opportunities Available

Digital Marketing Manager, SEM Manager, SEO Specialist, Social Media and Content Manager, Associate Consultant Business Analyst (Sr.) Associate – Digital Marketing

Advanced Certificate from MICA and upGrad

If you successfully complete all of the modules, you will obtain an Advanced Certificate in Digital Marketing and Communication as well as Alumni Status. Become a member of a thriving digital marketing community and one of India’s best marketing institutions.

  • MICA’s Advanced Certificate
  • Become a member of the MICA alumni network
  • Valedictorian ceremony on the MICA campus
  • Easily shareable through LinkedIn, Naukri, and other platforms

Upgrad digital marketing Syllabus

4 Weeks in the Digital Marketing Landscape

a single assignment

  1. Marketing Fundamentals: The Transition from Traditional to Digital Marketing
  2. Metrics and Channels for Digital Marketing
  3. Customer-centeredness
  4. Case Studies: One case study focusing on a major global food firm. Create a digital branding plan to aid the brand’s entry into the market as a new product.

Deep Dive into Digital Channels – I 8 Weeks

There are four assignments.

Creating a Digital Presence

 Search Engine Optimization (SEO) Social Media Marketing (SEO)

  • Case Studies: 7 case studies on well-known firms in the Food & Beverage sector, Food Delivery, E-commerce, Finance, Automobile Manufacturing, and Travel industry were presented across tracks.
  • Project to Create a Blog ( WordPress)
  • Live Project on Social Media Marketing ( Facebook Ads Manager)
  • Stukent Mimic Social ( Leadership track)
  • Tools Covered- facebook adds

Deep Dive into Digital Channels – II 8 Weeks

3 different assignments

5 case studies spanning tracks on top companies in healthcare, clothing, finance, e-commerce, banking, and transportation. 

  • Search Engine Marketing (SEM) Programmatic & Display Advertising Content Marketing User Nurturing Case Studies:
  • Search Campaign with Google Ads ( Google Ads Manager)
  • Live Email Marketing Project ( Get Response)
  • Stukent Mimic Pro ( Leadership Track)
  • Tools Covered- google ads

Marketing analytics and a well-thought-out strategy

Three weeks

Assignment

  • Defining a Robust Digital Marketing Strategy Planning Using Web Analytics (Agency/Team) DM Resources
  • Studying Cases: 2 case studies on well-known E-commerce and transportation enterprises.
  • Live Web Analytics Project ( Google Analytics)
  • Tools Covered- Google Analytics

Capstone Project and e-Commerce Bootcamp

  • 3 Weeks
  • Assignment
  • e-Commerce Bootcamp
  • Capstone Project

Specialisation in Branding and Communications

  • 6 Weeks
  • 2 Assignments
  • Fundamentals of Branding
  • Brand Engagement Strategy
  • Branding for International Markets
  • Marketing Communications

Specialisation in Marketing Analytics

  • 6 Weeks
  • 2 Assignments
  • Marketing Data Identification and Collection
  • Marketing Data Integration and EDA
  • Predictive Analytics and Decision Making
  • Tools Covered- Google Analytics, Mysql, Excel

Specialisation in Marketing Communications (Focus on PR)

  • 6 Weeks
  • 2 Assignments
  • Integrated Marketing Communication
  • Developing Creative Communication
  • Public Relations
  • Deep Dive into Content Marketing
  • Paid Advertising on Social Media Platforms
  • Community Management
  • Tools Covered- Instagram, Hootsuite and mention

Specialisation in Marketing Communications (Focus on PR)

  • 6 Weeks
  • 2 Assignments
  • Integrated Marketing Communication
  • Developing Creative Communication
  • Public Relations

Specialisation

Depending on your interests, you can pick one or more specialisations.

Branding & Comm.

  • Topics Covered
  • Branding & Comm.
  • 6 Weeks
  • 2 Assignments
  • Fundamentals of Branding
  • Brand Engagement Strategy
  • Branding for International Markets
  • Marketing Communications

Project

Swiggy Project

It Creates an integrated marketing strategy that takes into account Swiggy’s diverse target demographic and use cases.

Marketing Analytics

  • Topics Covered
  • Marketing Analytics
  • 6 Weeks
  • 2 Assignments
  • Marketing Data Identification and Collection
  • Marketing Data Integration and EDA
  • Predictive Analytics and Decision Making

Social Media & Content Marketing

  • 6 Weeks
  • 2 Assignments
  • Deep Dive into Content Marketing
  • Paid Advertising on Social Media Platforms
  • Community Management

Marketing Communications – PR

  • Topics Covered
  • Marketing Communications – PR
  • 6 Weeks
  • 2 Assignments
  • Integrated Marketing Communication
  • Developing Creative Communication
  • Public Relations

Customized Tracks for Better Results

Executive Track

Understand DM Basics and setup and run campaigns on 5+ tools. (10-12hrs/week)

Manager Track

Build, run, analyse and optimise Search and Social Media Campaigns (8-10hrs/week)

Leadership Track

Strategize, optimize and analyze digital marketing campaigns – SEO, SEM, Social media, etc. 

Case Studies and Industry Projects

Real-world industry initiatives sponsored by prominent firms in a variety of areas provide opportunities to learn.

Implement real-time marketing strategies

During interviews, use Proof-of-Work to your advantage.

Experts in the field will mentor you

The upGrad Advantage

To assist you in mastering Digital Marketing, we provide strong hand-holding and committed assistance.

Mentors from the industry

Mentors, teaching assistants, and graders from the business will provide you with unrivalled advice.

Receive personalised feedback on your entries and suggestions for improvement

Student Assistance

Student assistance is provided seven days a week, twenty-four hours a day, seven days a week.

You can contact us at studentsupport@upgrad.com, or utilise the “Talk to Us” option on the learn platform if you have an urgent question.

Getting rid of doubts

Forum for Q&A

Industry professionals and peers resolve doubts in a timely manner.

To ensure high-quality learning, all replies are expert-verified.

Expert Advice on Assignments and Projects Personalized expert advice on assignments and projects

Experts will hold live sessions on a regular basis to answer questions on concepts.

Networking

upGrad BaseCamp 

Workshops that are fun, interesting, and career-building, including sessions led by industry leaders and professors.

Participate in group activities with your classmates and alumni.

Networking within the industry

Experts present live lectures on a variety of industrial issues.

Meetings with industry mentors for one-on-one conversation and feedback

Frequently Asked Questions:

Q1.How many specialisations do I have to pick from?

Ans. You have the option of selecting up to four specialities. Choosing a specialisation is required and is included in the base programme experience, which costs $105,045. (Incl. Taxes).

Q2.What distinguishes this digital marketing certification from others?

Ans. It consists of a 26-week core curriculum in Digital Marketing, as well as a choice of four specialisations. This entails extensive training in all facets of digital marketing as well as any speciality you select.
MICA, one of Asia’s finest marketing institutions, has an Advanced Certificate and alumni status.
One-on-one professional or business mentorship to assist you in achieving your specific goal for enrolling in this programme.
15+ case studies and projects based on real marketing initiatives, presented online by professionals from top companies like Star India, Zivame, and others.
Hands-on projects that allow you to get your hands dirty while receiving one-on-one feedback.

Q3.What type of certificate will I receive once I’ve completed this course?

Ans. MICA & upGrad will award you an Advanced Certificate in Digital Marketing and Communication upon completion of this programme. This certificate will detail your completion of the Digital Marketing course as well as the specialities you choose.
In addition, you will receive a full report on your digital marketing abilities and competencies based on all of your tasks. This will serve as a far more illustrative proof of your talents to an employer than a typical programme completion certificate.
You’ll also receive a unique certificate from Facebook recognising your proficiency in digital marketing utilising both organic and paid Facebook methods.
How much time do I need to spend to do well in this course?
T1: Executive – 10-12 hours/week
T2: Manager – 8-10 hours/week
T3: Leadership – 7-9 hours/week

Q4.Is it possible for me to learn Digital Marketing with this certification programme in my own city?

Ans. This Advanced Certificate in Digital Marketing and Communication programme has taught professionals from Delhi, Gurgaon, Bangalore, Mumbai, Chennai, Hyderabad, Noida, Pune, and other places. The method of delivery is over the internet. Every three months, however, networking sessions and student meet-ups are held in major cities.

Q5. How do I know that the curriculum for this programme is the best?

Ans. This course not only teaches you how to go deep into numerous marketing channels, but it also teaches you how to:
Create digital marketing efforts that are well-thought-out.
Create brands that your customers can relate to in the digital realm.
Determine which digital channels are appropriate for your needs and make a plan to leverage them.
Allocating financial and human resources across channels is budgeted and allocated.

Q6.What value does all of the industry relationships provide to this course?

Ans. We consulted renowned industry specialists at every level of the programme creation, as part of our commitment to produce exceptionally industry-relevant online programmes for working professionals. These professionals have decades of expertise leading marketing at the agency head / CMO level and driving ROI on a global scale.
Our industry connections have aided us in developing and delivering the majority of industry-relevant information and case studies.

Q7.What type of career assistance can I anticipate from this course?

Ans. Our industry partners will receive a thorough profile of our students as well as programme performance data. They will evaluate the best prospects based on this information and offer job chances to the top achievers.
This programme was created in response to the employment issues and skill gaps that exist in India’s digital marketing industry. This, as well as the applicant screening procedure prior to the commencement of the programmes, are two of the primary reasons why a lot of major firms are interested in providing intriguing chances.

Q8. What if I’m not able to find work through PAP?

Ans. The PAP will be valid for 6 months once the programme is completed:
If a candidate meets all of the terms and conditions and is still unable to obtain a job offer under the above-mentioned “Qualifying Positions” after 6 months of completion of the Program, the candidate will be eligible for a refund of Rs. 30,000/-, which will be paid by upGrad within 30 working days of the candidate’s request being accepted by upGrad.
This reimbursement is not valid if applicants accept an offer outside of upGrad’s opportunities or if the student has been removed from the Placement Assurance Program (PAP)

Q9.How much is this course going to cost me?

Ans. The overall cost of the course begins at $1,05,045. (Incl. Taxes). A 0% EMI option is available with a monthly payments of 10,005/- and a down payment of 15000 to secure your seat.

Q10.What exactly is the 0% EMI offer?

Ans. With the 0% EMI option, you may pay for the course in nine equal payments at no additional cost. We have a financial partner that can provide you with a 9-month EMI of $10,005/-. The admissions counsellor will contact you when you have completed the course application form and will assist you with the course specifics. The counsellor will also walk you through the many EMI alternatives accessible to you.

Q11.How much does it cost to reserve my spot once I’ve been selected for the programme?

Ans. Once you’ve been selected for the programme, you’ll need to pay $15,000 to reserve your spot.

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