Online PG Diploma in Artificial Intelligence and Machine Learning (AIML)

Intelligent Systems

Artificial Intelligence and Machine Learning (AIML) are transforming industries worldwide, from healthcare and finance to e-commerce and smart cities. This Post Graduate Diploma (PGD) equips professionals and students with the skills to design, analyze, and implement AI and ML solutions for real-world challenges. With a flexible online format, the program provides rigorous academic training, hands-on experience with real-world datasets, and the latest advancements in AIML to prepare graduates for leadership roles in the evolving tech ecosystem.

Direct Admissions Closed
This program is now available only as an exit option from the M.Tech. in AIML.

Banner AIML

Curriculum Template

Programme Curriculum
Total Credits
72
9 credits/course
Core Courses
6
54 credits
Elective Courses
2
18 credits

Courses Offered

ECO921E
Elective Credits: 9
Economics and Governance of AI
Prerequisites: Basic Economics and interest in technology/ policy
IS901E
Core Credits: 9
Introduction to Python and Agentic AI
Prerequisites: None
IS902E
Core Credits: 9
Linear Algebra
Prerequisites: None
IS903E
Core Credits: 9
Introduction to ML
Prerequisites: None
IS904E
Core Credits: 9
Probability and Statistics for ML
Prerequisites: None
IS905E
Core Credits: 9
Optimization and Deep Learning
Prerequisites: None
IS906E
Core Credits: 9
Human-Computer Interaction
Prerequisites: None
IS907E
Elective Credits: 9
AIML Projects with Real-World Datasets
Prerequisites: None
IS908E
Elective Credits: 9
Unsupervised Learning
Prerequisites: None
IS909E
Elective Credits: 9
Ethics of Artificial Intelligence
Prerequisites: Basic understanding of Machine learning is desirable
IS910E
Elective Credits: 9
Big Data Science and Visual Analytics
Prerequisites: Linear Algebra, Probability and Statistics. Introductory Knowledge in Machine Learning will be beneficial.
Students' Preference
Elective Credits: 9
Open Elective

Eligibility Criteria

  • Minimum CPI 5.5 or 55% marks in the qualifying degree

  • A valid score above department-stated cut-off in approved national-level exams as applicable to the program discipline (GATE)
  • IIT Kanpur’s online proctored entrance test [syllabus]

  • Four-year Bachelor’s degree in Engineering, Science, Economics, or allied areas
  • Five-year MSc in Science or allied areas / PG degrees (MCA/MA) in Science, Mathematics, or allied areas
  • Department-conducted written test on basic mathematics

  • Professionals with over 5 years of relevant experience as defined by the concerned department
  • Applicants with valid national-level test scores above the department specified cutoff
  • Candidates nominated * by government/defense/other recognized organizations

* Note: Nominated includes sponsored candidates

Program Fee

Certificate Format

degree format Click to enlarge

Instructors

Dr. Ketan Rajawat
Research Interest:

Optimization algorithms in communications, Dynamic network measurement and cartography, Network Localization, Network Optimization

Dr. Aditya Jagannatham
Research Interest:

6G and 5G Wireless Technologies: OTFS Modulation, Terahertz, Visible Light Communication (VLC), Intelligent Reflecting Surface (IRS) Technology, Massive MIMO, mmWave MIMO, Non-Orthogonal Multiple Access (NOMA), Filter-Bank Multi-Carrier (FBMC) Systems

Dr. Hamim Zafar
Research Interest:

Computational Biology, Machine Learning and Bioinformatics

Dr. Nitin Saxena
Research Interest:

Computational Complexity Theory, Algebra, Algebraic Geometry, Theoretical Computer Science and Algorithms

Dr. Vimal Kumar
Research Interest:

Political Economics and Game Theory

Dr. Sayak Roy Chowdhury
Research Interest:

Reinforcement Learning, Multi-armed bandits, Differential Privacy and Language Model Alignment

Dr. Sruti Raghavan
Research Interest:

Human-Computer Interaction, Software Engineering, End- user Programming, Education and Societal and Humanistic Aspects of Computation

Program FAQ

General Queries

No. Admission is possible either through GATE/JAM or IIT Kanpur’s own Online Entrance Test.

Courses are delivered in a blended mode — with recorded lectures (105 mins/week), Live sessions (60 mins/week), and optional/hybrid labs. At least one campus visit is recommended.

The year is divided into three trimesters: Spring, Summer, and Autumn. Each trimester has 11 weeks of teaching. A typical 9-credit course has around 3–4 hours of weekly engagement.

Yes. The online degrees are fully equivalent to on-campus degrees in terms of curriculum, credits, academic rigor, and recognition.


 

Program Specific Queries

These are ideal for mid-career professionals looking for domain-specific upskilling or a pathway to a full M.Tech./M.Sc.

The duration is 1–2 years with at least 72 credits, offering flexibility in pace and planning.

Yes. within 3 years of completion, subject to program availability and required approvals.

  • PGD in Engineering: ~₹4.91 lakhs
  • PGD in Science: ~₹3.89 lakhs


 

Career and Alumni Queries

Yes. Graduates of these programs become part of the prestigious IIT Kanpur alumni network — a global community of innovators and leaders.

They offer industry-relevant curriculum, flexible learning, and credentials from one of India’s top institutes — helping boost both technical expertise and career growth.