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Executive Post Graduate Certificate in Applied AI & Machine Learning

Department of Artificial Intelligence, IIT Kharagpur

About EPGC in Applied AI & Machine Learning

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.

Eligibility

Eligibility: B.Tech/M.Tech, B.E/M.E (Desirable: CSE, IT, AI, ECE, Electrical Engineering) or B.Sc (Computer Science/Maths/Statistics/Physics/), BCA/MCA with 50% in each or Learners from outside these disciplines having minimum two years of experience in the field of Technology

An End-to-End AI Engineering programme led by IIT Kharagpur’s AI Department

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

100% Live Online, Faculty-led Sessions

Taught by Professors from IIT Kgp AI Dept

Industry Led Programme with Projects & Capstone

Executive Alumni Status and Graduation Ceremony

From Foundations to Generative AI: The Full-Stack AI Engineering Curriculum

100% Live Learning

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

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100% Faculty Led Learning

End to End learning led by professors from the Department of Artificial Intelligence.

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6 Core Modules. 6 Real-World AI Systems

Every module includes a guided, hands-on project to help you apply concepts immediately and build confidence step by step.

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Foundations to GenAI & Deployment

AI Foundations Bridge → ML & Deep Learning → NLP & Transformers → GenAI → RAG → Deployment & MLOps.

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Industry-Aligned Capstone & Projects

A guided, end-to-end 6 projects & 1 Capstone under faculty mentorship, from problem definition to deployed solution.

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Executive Certificate & Campus Recognition

On-Campus Graduation Ceremony - Celebrate your achievement in India’s first IIT’s iconic legacy.

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The Complete Curriculum - Your End-to-End Journey to Becoming an Enterprise-Grade AI Engineer

AI Foundations Bridge

Build a strong foundation to succeed in advanced AI. Cover Python, SQL, Statistics, Linear Algebra, Probability & Calculus designed to align learners from mixed backgrounds.

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Module 1: Machine Learning Foundations

Understand core ML concepts including data preprocessing, model evaluation, supervised and unsupervised learning, and classical algorithms.

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Module 2: Deep Learning & Computer Vision

Learn neural networks, optimization, CNNs, RNNs, and transfer learning. Build deep learning models and understand how they scale.

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Module 3: NLP,Transformers & Speech AI

Understand how modern language and speech systems work - from tokenization to transformer architectures.

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Module 4: Generative AI & LLM Applications

Learn LLM architectures, prompt engineering, fine-tuning (PEFT, LoRA, QLoRA) & multimodal AI. GenAI as an engineering capability, not a black box.

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Module 5: RAG Systems & LLM Orchestration

Design and build retrieval-augmented systems using vector search, orchestration frameworks, and evaluation techniques.

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Module 6: Deployment, MLOps & AI Governance

Deploy AI systems using APIs, containers, CI/CD pipelines, monitoring, drift detection. Operate AI systems reliably in enterprise environments.

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Capstone: Build a Production-Ready AI System

Design, build, deploy, and evaluate an end-to-end AI system integrating ML, GenAI, RAG, and MLOps.

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Did you know?

93% organisations now have active AI & Machine Learning initiatives.

Our Admission Process

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

Check your eligibility & block your seat now!

EPGC in Applied AI & Machine Learning Course Fee Flexible payment options and zero cost EMIs make your programme even more accessible.

EMI starting at INR ₹6,825/month. Block Your Seat Now At ₹10,000. Totally INR 1,99,000*

Beyond a Certificate - Built for Career Impact 

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.

From Foundations to Generative AI: The Full-Stack AI Engineering Curriculum

AI Foundations Bridge

A structured bridge module designed to prepare learners for the core AI curriculum. Taught with clarity and intuition to ensure every learner starts the programme confident, aligned, and ready.

AI from First Principles

Machine Learning and Deep Learning taught with a focus on how and why models work, not just how to apply libraries.

Production-First Curriculum Design

Every concept is taught with real-world deployment constraints in mind — including scalability, reliability, cost, and monitoring.

GenAI Integrated, Not Overlaid

Generative AI is embedded naturally into the curriculum as an engineering capability, not treated as a standalone or hype-driven track.

Enterprise-Grade Deployment & MLOps

Deploy, monitor, and operate AI systems using industry-grade practices.

End-to-End AI Engineering Curriculum

Covers Machine Learning, Deep Learning, GenAI, RAG systems, and MLOps.

Capstone Highlights

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

What You’ll Create

Design a full-stack AI solution integrating ML/DL models, LLM applications, RAG pipelines, APIs, and deployment architecture to solve a real industry problem.

What You’ll Deliver

Deliver a deployed AI system with containerization, monitoring, and evaluation - along with a technical report detailing architecture, performance, and deployment readiness.

Graduation Ceremony at IIT Kharagpur Campus

The programme concludes with an on-campus award ceremony at IIT Kharagpur, where participants receive their certificates from the Programme Director and Institute leadership.

Faculty Interaction

Programme Faculty - India’s Strongest Academic Bench in AI & Data Science

Prof. Niloy Ganguly

Professor & Head, Dept. of CSE ✦ Research Areas Artificial Intelligence and Machine Learning, Complex and Social Networks, Data and Web Mining, Natural Language Processing

Programme Faculty - India’s Strongest Academic Bench in AI & Data Science

Prof. Sourangshu Bhattacharya

Lead Faculty, Associate Professor, Department of Computer Science & Engineering, IIT Kharagpur ✦ Research Areas Artificial Intelligence and Machine Learning, Complex and Social Networks, Data and Web Mining

Programme Faculty - India’s Strongest Academic Bench in AI & Data Science

Prof. Pawan Goyal

Professor, Dept. of CSE ✦ Research Areas Complex and Social Networks, Data and Web Mining, Communication Medium and Technologies: Language, Speech and HCI

Programme Faculty - India’s Strongest Academic Bench in AI & Data Science

Prof. Jiaul Hoque Paik

Associate Professor, Dept. of AI ✦ Research Areas Natural Language Processing, Information Retrieval, Big Data Analytics, Artificial Intelligence, Machine learning

Programme Faculty - India’s Strongest Academic Bench in AI & Data Science

Prof. Plaban Bhowmick

Associate Professor, Dept. of AI ✦ Research Areas Artificial Intelligence, Natural Language Processing, Digital Library, Machine learning

Programme Faculty - India’s Strongest Academic Bench in AI & Data Science

Prof. Koustav Rudra

Assistant Professor, Dept. of AI ✦ Research Areas Responsible AI, AI for Social Good, AI and ML in healthcare, Information Retrieval. Natural Language Processing

Programme Faculty - India’s Strongest Academic Bench in AI & Data Science

Prof. Somdyuti Paul

Assistant Professor, Dept. of AI, IIT Kharagpur ✦ Research Areas Video Processing, Computer Vision