e-PG Diploma in AI & Data Science

The e-Postgraduate Diploma (ePGD) in Artificial Intelligence and Data Science from IIT Bombay offers an industry-focused curriculum designed for working professionals. This comprehensive program is delivered by IIT Bombay faculty through online synchronous learning, allowing students to earn up to 36 credits that can be saved in the Academic Bank of Credits. Students gain hands-on experience with industry-relevant tools, participate in real-world projects, and receive personalized assistance from dedicated program managers. Upon completion, graduates earn IIT Bombay alumni status and attend an in-person graduation ceremony at the campus. The program covers essential skills including Python, machine learning, deep learning, generative AI, and data analytics, preparing professionals to develop and deploy AI/ML solutions for various business use cases.

Instructors:

BIPLAB BANERJEE

SUDEEP BAPAT

English

Not specified

Applications Deadline:
REGISTRATION CLOSING SOON
Duration:
18 Months

₹ 6,00,000

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Overview

The e-Postgraduate Diploma (ePGD) in Artificial Intelligence and Data Science is an online program designed and delivered by IIT Bombay faculty specifically for working professionals. This industry-focused curriculum offers students the opportunity to earn up to 36 credits from IIT Bombay, which can be saved in the Academic Bank of Credits (ABC). The program features hands-on learning through industry-relevant tools and real-world projects, covering essential areas like Python, Machine Learning, Deep Learning, Generative AI, Data Science, and Analytics. Graduates receive IIT Bombay alumni status and participate in an in-person graduation ceremony at the campus. Additionally, students gain access to IIT Bombay's Lateral Hiring Group and receive personalized assistance from a dedicated Program Manager throughout their learning journey.

Why Postgraduate Diplomas?

The e-Postgraduate Diploma from IIT Bombay offers several unique advantages for professionals looking to master AI and Data Science. First, it's designed and delivered by faculty from IIT Bombay, ranked #3 in NIRF India Rankings 2024 and #30 in QS Rankings for Data Science and AI. The curriculum is specifically tailored for working professionals with an online synchronous format that balances flexibility with rigorous academic standards. Students earn up to 36 credits from IIT Bombay that can be saved in the Academic Bank of Credits, adding significant value to their educational portfolio. The program provides hands-on experience with industry-relevant tools through real-world projects like consumer behavior analysis and building business applications using language models. Upon completion, graduates receive IIT Bombay alumni status, attend an in-person graduation ceremony, and gain access to the university's Lateral Hiring Group, opening doors to valuable networking and career opportunities.

What does this course have to offer?

Key Highlights

Online synchronous 6-course curriculum
Designed and delivered by IIT Bombay faculty
Earn up to 36 Credits from IIT Bombay
Hands-on learning through industry-relevant tools
In-person graduation ceremony at IIT Bombay campus
Access to IIT Bombay's Lateral Hiring Group
IIT Bombay alumni status
Personalised assistance with a dedicated Programme Manager

Who is this programme for?

Working professionals seeking to upskill in AI and Data Science
Professionals with a 4-year undergraduate degree or 3-year degree with work experience
Individuals with understanding of Mathematics and Statistics at undergraduate level
Those looking to build end-to-end data-driven solutions for business problems
Professionals wanting to leverage generative AI and deep learning technologies

Minimum Eligibility

The minimum requirement to apply for ePGD is either a recognised 4-year undergraduate degree or a recognised 3-year undergraduate degree with at least one year of work experience. Post-graduate and doctorate students can also apply.

Who is the programme for?

The admission process for the e-Postgraduate Diploma in Artificial Intelligence and Data Science consists of three main steps. First, interested candidates must complete a simple online application form. Following this, applicants take an online test designed to assess their foundational knowledge and suitability for the program, particularly focusing on their understanding of Mathematics and Statistics at the undergraduate level. After the test, all applicants undergo a mandatory screening call with the Registration Office. Selected candidates receive an offer letter and must pay the registration fee to secure their seat and complete the registration process. The minimum eligibility requirement is either a recognized 4-year undergraduate degree or a 3-year undergraduate degree with at least one year of work experience. Post-graduate and doctorate students are also eligible to apply. The academic structure consists of six courses offered simultaneously, allowing students flexibility in their learning journey while maintaining the rigorous standards of IIT Bombay education.

Important Dates

Selection process

How to apply?

Curriculum

The e-Postgraduate Diploma (ePGD) in Artificial Intelligence and Data Science features a comprehensive curriculum developed by IIT Bombay faculty to provide a strong foundation in AI and data science concepts and technologies. The six-course structure covers essential areas including Python libraries, data science and analytics, machine learning, deep learning with generative AI, transformers and Hugging Face, and AI-ML in practice. Through this curriculum, students learn to explore, analyze, and extract valuable business insights from data, evaluate business problems, and develop end-to-end data-driven solutions. The program emphasizes practical applications, teaching students to leverage text data for natural language solutions using generative AI, develop and deploy AI/ML solutions for business use cases, and effectively communicate AI/ML solutions. The hands-on approach includes working with industry-relevant tools such as Python, SQL, NumPy, Pandas, Seaborn, Scikit-Learn, TensorFlow, Keras, Hugging Face, Docker, and Kubernetes.

There are 6 semesters in this course

The e-Postgraduate Diploma in Artificial Intelligence and Data Science curriculum is structured around six comprehensive courses that cover the full spectrum of AI and data science technologies and applications. Students develop proficiency in Python libraries essential for data analysis and machine learning implementations. The data science and analytics component focuses on methods to extract actionable business insights from complex datasets. The machine learning course covers fundamental algorithms and their applications, while deep learning with generative AI explores advanced neural network architectures and generative models. Students also master transformers and the Hugging Face ecosystem for natural language processing applications. The program culminates with AI-ML in practice, where students learn to develop and deploy real-world AI solutions. Throughout the curriculum, students work on practical projects including analyzing consumer behavior using survey data, predicting house prices based on location and features, predicting credit card default, identifying related stocks based on stock market activity, and building business applications using language models and computer vision technologies.

Programming for Machine Learning and Data Science

Statistical Foundations of Machine Learning

Machine Learning

Deep Learning and GenAI

AI-ML in Practice

Elective Courses

Programme Length

The e-Postgraduate Diploma (ePGD) in Artificial Intelligence and Data Science is designed as a flexible program that accommodates working professionals. While the specific duration is not explicitly stated, the program follows a multi-course structure with six courses offered simultaneously, allowing students to progress at a pace that suits their professional commitments. The program begins in August 2025, and students have the flexibility to take multiple courses concurrently or sequentially, depending on their time availability and learning preferences. This flexibility ensures that professionals can balance their career responsibilities while advancing their education in AI and Data Science. The online synchronous format provides the benefits of live interaction with IIT Bombay faculty while eliminating commute time and geographical constraints.

Tuition Fee

The e-Postgraduate Diploma in Artificial Intelligence and Data Science follows a structured fee payment system with a total program cost of ₹600,000 plus applicable GST. The fee structure begins with a registration fee of ₹60,000 plus GST, which must be paid within 7 days of receiving the offer letter to confirm registration. Following this, students pay ₹90,000 plus GST at the beginning of each of the six courses in the program. Multiple courses will be offered simultaneously for ePGD candidates, allowing for flexible fee payments according to individual course enrollment. For those seeking more details on flexible payment options, the Registration Team is available for consultation. This structured payment approach allows students to distribute the financial commitment throughout their educational journey, making the program more accessible to working professionals who may prefer to manage their expenses over time rather than making a single lump-sum payment.

Fee Structure

Payment options

Financing options

Financial Aid

Learning Experience

The e-Postgraduate Diploma in Artificial Intelligence and Data Science offers a comprehensive learning experience designed and delivered by IIT Bombay faculty through an online synchronous format. This approach combines the flexibility of online learning with the interactive benefits of live sessions, allowing students to engage directly with professors from one of India's top-ranked universities. The program emphasizes hands-on learning through industry-relevant tools and real-world projects, ensuring students develop practical skills alongside theoretical knowledge. Each student receives personalized assistance from a dedicated Program Manager who provides support throughout their learning journey. The curriculum is specifically designed for working professionals, with multiple courses offered simultaneously to accommodate various schedules and learning paces. This student-centered approach ensures that participants can balance their professional commitments while receiving a high-quality education from IIT Bombay's esteemed faculty.

University Experience

The e-Postgraduate Diploma in Artificial Intelligence and Data Science offers students a comprehensive IIT Bombay experience that extends beyond the curriculum. As part of this prestigious program, students earn up to 36 credits from IIT Bombay, which can be saved in the Academic Bank of Credits (ABC), adding significant value to their educational portfolio. Upon successful completion, graduates are awarded IIT Bombay alumni status, joining a network of distinguished professionals and academics from one of India's premier institutions. The program culminates in an in-person graduation ceremony held at the IIT Bombay campus, providing students with a memorable capstone to their educational journey. Throughout the program, students benefit from learning directly from IIT Bombay faculty, recognized for their expertise in fields such as Computer Vision, Natural Language Processing, Machine Learning, and AI Algorithms. Additionally, graduates gain access to IIT Bombay's Lateral Hiring Group, opening doors to valuable networking and career opportunities in the rapidly evolving fields of AI and Data Science.

About the University

Founded in 1958, IIT Bombay is one of India's premier engineering and research institutions. Located in Powai, Mumbai, the institute is recognized as a leader in engineering education and research, consistently ranking among top global universities. As an Institute of National Importance, it maintains excellence across technical and interdisciplinary programs

13,073

Total enrollment

772

Faculty size

2.2 sq km

Campus size

Affiliation & Recognition

Institute of National Importance Status

Institute of Eminence

Career services

IIT Bombay provides comprehensive career development support through multiple channels. The institute's strong industry connections and academic excellence result in exceptional placement records. Through partnerships with global organizations and research institutions, students receive extensive opportunities for career advancement. The effectiveness is demonstrated by high employer reputation scores and significant research impact across various sectors

81.9

Employer reputation score

73.1

Citation score

55.5

Academic reputation

Applications Deadline:
REGISTRATION CLOSING SOON
Duration:
18 Months

₹ 6,00,000

Add to compare

Whom you will learn from?

Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.

Instructors

BIPLAB BANERJEE

Associate Professor, Centre of Studies in Resources Engineering

Prof. Biplab Banerjee is an Associate Professor at the Centre of Studies in Resources Engineering (CSRE) at IIT Bombay, where he specializes in computer vision, image processing, satellite image analysis, deep learning, and advanced machine learning. He holds a Ph.D. from IIT Bombay and has contributed significantly to the field through research and teaching. His work focuses on leveraging advanced algorithms and techniques to analyze and interpret complex visual data, enhancing applications in various domains such as remote sensing and environmental monitoring.

SUDEEP BAPAT

Assistant Professor, SJM School of Management

Prof. Sudeep Bapat is an Assistant Professor at the SJM School of Management, IIT Bombay, with a Ph.D. from the University of Connecticut. His research interests include sequential analysis, change point detection, time series analysis, statistical inference, linear models, and survival analysis. Prof. Bapat is dedicated to advancing statistical methodologies and their applications in management science.

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they’re here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Instructors

Devdip Purkayastha

359 Students

3 Courses

Distinguished Professor of Practice and Entrepreneurship Expert at IIT Bombay

Devdip Purkayastha serves as Professor of Practice at the Desai Sethi School of Entrepreneurship (DSSE) at IIT Bombay, bringing over three decades of executive leadership experience from global corporations. His impressive corporate career includes senior roles as President & CEO at CHEP India, Vice President at DHL Express South Asia, and Divisional Manager at P&G Asia. His academic credentials include a B.Tech from IIT Kharagpur, an MBA from IIM Calcutta, and executive education from The Wharton School. At DSSE, he focuses on developing the next generation of entrepreneurs through teaching entrepreneurship courses, conducting workshops, and mentoring startup teams. His work has contributed to DSSE's impressive track record of training over 3,800 students, mentoring 900 students, and helping launch more than 80 startups. He previously served as President & CEO of Enactus India and has received numerous accolades including the CEO of the Year award and recognition as an Evangelist of the Year in the logistics and supply chain sector.

Prof. Gaurav S. Kasbekar

4.5 rating

10 Reviews

2,164 Students

1 Course

Distinguished Network Security and Wireless Communications Expert at IIT Bombay

Gaurav S. Kasbekar serves as an Associate Professor in the Department of Electrical Engineering at IIT Bombay, bringing extensive expertise in wireless networks and network security. His academic journey includes a B.Tech in Electrical Engineering from IIT Bombay (2004), an M.Tech in Electronics Design and Technology from IISc Bangalore (2006), where he received the prestigious CEDT Design Medal, and a Ph.D. from the University of Pennsylvania (2011). His professional experience includes roles as a Research Intern at Microsoft Research Cambridge and Engineer at Ittiam Systems. His research focuses on critical areas including wireless network design, cognitive radio networks, drone communications, and IoT security. He leads several significant research projects, including MeitY-sponsored research on 5G and beyond, and an Arista Networks-sponsored project on WiFi security. His contributions to the field have been recognized through various awards, including an Honorable Mention at COMSNETS 2015 and the Best Paper Award (Runner Up) at the National Conference on Communications 2022

Frequently asked questions

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