100% Live Learning
All sessions delivered live by IIT Kharagpur faculty, ensuring depth, clarity, and academic rigour throughout the programme.


8 Months ✦ Mode: 100% Live Online
Department of Artificial Intelligence, IIT Kharagpur



A comprehensive postgraduate online programme designed and delivered by the Department of Artificial Intelligence, IIT Kharagpur. The curriculum is thoughtfully structured to take learners from strong AI foundations to advanced, real-world applications, covering Machine Learning, Deep Learning, NLP, Generative AI, and deployment practices.
Established in 1951, IIT Kharagpur is India’s first IIT and among the world’s most respected engineering institutions. Ranked 5th in Engineering by NIRF 2025, the Institute is recognised for academic rigour, high-impact research, and sustained contributions to artificial intelligence and computing.
Drawing from IIT Kharagpur’s academic depth and research excellence, this programme prepares learners to build, deploy, and operate AI systems with confidence, developing the skills needed to apply AI effectively across real-world business and engineering contexts.
Applicants should have a B.Tech/M.Tech or B.E/M.E (Preferred: CSE, IT, AI, ECE, Electrical), or a B.Sc/M.Sc (Computer Science/Maths/Statistics/Physics/), BCA/MCA, with 50% in each. Candidates from other backgrounds are eligible with a minimum of two years of relevant technology experience.


From AI foundations to enterprise-grade systems. Bridging the Gap Between Learning AI and Building Real AI Systems.

All sessions delivered live by IIT Kharagpur faculty, ensuring depth, clarity, and academic rigour throughout the programme.
End to End learning led by professors from the Department of Artificial Intelligence.
Every module includes a guided, hands-on project to help you apply concepts immediately and build confidence step by step.
AI Foundations Bridge → ML & Deep Learning → NLP & Transformers → GenAI → RAG → Deployment & MLOps.
A guided, end-to-end 6 projects & 1 Capstone under faculty mentorship, from problem definition to deployed solution.
On-Campus Graduation Ceremony - Celebrate your achievement in India’s first IIT’s iconic legacy.
Your Step-by-Step Path to GenAI & Agentic AI
Build a strong foundation to succeed in advanced AI. Cover Python, SQL, Statistics, Linear Algebra, Probability & Calculus designed to align learners from mixed backgrounds.
Understand core ML concepts including data preprocessing, model evaluation, supervised and unsupervised learning, and classical algorithms.
Learn neural networks, optimization, CNNs, RNNs, and transfer learning. Build deep learning models and understand how they scale.
Understand how modern language and speech systems work - from tokenization to transformer architectures.
Learn LLM architectures, prompt engineering, fine-tuning (PEFT, LoRA, QLoRA) & multimodal AI. GenAI as an engineering capability, not a black box.
Design and build retrieval-augmented systems using vector search, orchestration frameworks, and evaluation techniques.
Deploy AI systems using APIs, containers, CI/CD pipelines, monitoring, drift detection. Operate AI systems reliably in enterprise environments.
Design, build, deploy, and evaluate an end-to-end AI system integrating ML, GenAI, RAG, and MLOps.
93% organisations now have active GenAI initiatives.
Complete your application and enrol in the program with three easy steps!
Fill your details and complete your application
Get shortlisted and Receive Offer Letter
Block your seat
Plan your upskilling without financial pressure, with structured monthly instalments and a low upfront seat block.
EMI starting at INR 6,825/month Totally INR 1,99,000*


Awarded by IIT Kharagpur and conferred at the university graduation ceremony.
Certificate with Distinction - The top 10 percentile performers in each cohort receive a Certificate with Distinction, formally recognised on the credential.


Build and deploy a real-world AI system - designed for production, not prototypes. Your Capstone: Engineer an End-to-End AI System in Your Chosen Domain
Design a full-stack AI solution integrating ML/DL models, LLM applications, RAG pipelines, APIs, and deployment architecture to solve a real industry problem.
Deliver a deployed AI system with containerization, monitoring, and evaluation - along with a technical report detailing architecture, performance, and deployment readiness.


Prof. Niloy Ganguly

Dr. Sourangshu Bhattacharya

Prof. Pawan Goyal

Dr. Plaban Bhowmick

Prof. Sudeshna Sarkar

Dr. Jiaul Hoque Paik

Dr. Somak Aditya

Dr. Debaditya Roy

Dr. Abhijnan Chakraborty

Dr. Koustav Rudra