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IIT Kharagpur - Executive Post Graduate Certificate in  Building AI Products, Systems & Services

Where India's next AI Product Leaders are built. An AI product-first postgraduate programme designed for professionals preparing for the next era of Product Management.

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IIT Kharagpur: Legacy That Nurtures Excellence

India’s First IIT

Established in 1951, IIT Kharagpur is India’s oldest Indian Institute of Technology. For over seven decades, it has shaped engineers and researchers who lead innovation across industry, academia, and technology worldwide.

National and Global Standing

Ranked 5th in Engineering by NIRF 2025, IIT Kharagpur consistently ranked among Asia’s top universities by QS Asia Rankings.

Research That Drives Real-World Impact

Known for high-impact research and strong global citation performance, IIT Kharagpur plays a defining role in advancing areas such as artificial intelligence, computing, and emerging technologies.

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The Product Role Has Changed Forever: A Programme to Prepare the Next Gen of AI Product Leaders

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100% Live online, weekend classes

Faculty & AI Expert Led Sessions

End-to-End AI Product Curriculum

9 Modules. 1 Capstone. 1 Product Built

IIT Kharagpur Alumni Status

On-Campus Graduation & Networking

Built for the Next Generation of AI Product Leaders

This programme is designed for professionals who want to stay ahead as products become increasingly AI-native.

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Current Product Managers - Transitioning to AI PM Roles

PMs who want to lead AI-native products, collaborate confidently with AI and engg teams, & stay ahead as AI reshapes modern products.

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Aspiring Product Managers - Looking to Break into PM

Professionals from consulting, analytics, operations, growth, or business roles aiming to transition into high-growth AI Product roles.

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Founders & Builders - Creating AI-Driven Products

Entrepreneurs & startup teams looking to understand how to evaluate, build, position, and scale AI-powered products & intelligent user experiences.

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Tech Professionals - Expanding into Product Leadership

Engineers, developers, tech leads who want to combine technical depth with product strategy, customer thinking & AI product ownership.

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Tech Adjacent Operators - Driving Product Outcomes

Professionals from marketing, strategy, ops, business teams who want to strengthen their product mindset for AI-driven product decisions.

The AI Product Management Curriculum for the Next Generation of Product Leaders

24

Weeks

9

Modules

1

AI Product

Build One AI Product, End-to-End - From AI opportunity to deployment.

AI-Native Product Management -Product design, LLMs, RAG & Agentic AI.

Evaluate AI Like a Product Leader - Red teaming, AI metrics & model evaluation.

AI Economics & GTM - Pricing, token economics & go-to-market.

India-First AI Product Design - DPDP, India Stack & AI compliance.

Graduate with Proof - Working prototype + 7 portfolio artefacts.

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Certification: IIT Kharagpur

A Credential That Carries Weight

Recognised Academic Credential

Earn an Executive Post Graduate Certificate from IIT Kharagpur.

Certificate with Distinction

The top 10 percentile performers in each cohort receive a Certificate with Distinction, formally recognised on the credential.

Academic Credibility with Industry Relevance

An IIT-issued credential that signals rigorous training and readiness for advanced AI roles.

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The Complete Curriculum

Journey to becoming an AI Product Leader

AI Product Opportunity Discovery

Module 1

Topics covered

AI product landscape - categories, business models, AI-native vs. AI-enhanced

AI Suitability Matrix - probabilistic, learnable, recoverable, data-rich dimensions

TASQ Checklist - Task ambiguity, Scale, Quality tolerance as first-pass filter

AI Opportunity Canvas - data richness, failure recoverability, feedback loop potential

Feasibility assessment - data availability, model capability, cost viability, regulatory risk

Build vs. buy vs. prompt decision framework

AI-Native Product Design

Module 2

Topics covered

Behaviour specifications - constraints, failure modes, fallback paths, confidence thresholds

AI PRD - eval criteria, hallucination risk tiers, data requirements, guardrail specifications

Trust architecture - transparency, confidence calibration, user control

Copilot-Autopilot spectrum as product design decisions

AI UX/UI - chat, inline suggestions, ambient intelligence, co-creation canvas

AI products vs. services vs. platforms - platform readiness decision

AI & GenAI Fluency

Module 3

Topics covered

LLM architecture intuition - transformers, embeddings, tokenisation for product decisions

Foundation model landscape - GPT-4o, Claude, Gemini, Sarvam AI, Llama

Token economics in INR - cost-per-query at 1K, 10K, 100K users

Prompt engineering as product design - system prompts, few-shot, chain-of-thought

Build vs. buy vs. prompt vs. fine-tune decision framework

Multimodal AI - vision, voice, and document models in product context

AI Prototyping & Rapid Validation

Module 4

Topics covered

Prompt-to-app prototyping - Bolt.new, Lovable, v0 with live LLM API integration

Multi-turn conversation design and structured output handling

Structured peer review using the AI product review rubric

Prototype audit - documenting 10+ production gaps

Production handoff specification - architecture, security, engineering effort

Prototype-to-production gap analysis and stakeholder presentation

AI Systems & Agentic Design

Module 5

Topics covered

RAG architecture - chunking strategy, vector databases, retrieval failure modes

Agentic workflows - tool use, planning, multi-agent orchestration

MCP (Model Context Protocol) as an integration standard

HITL / HOTL / HOOTL autonomy taxonomy - designing agent boundaries

India Stack as agent infrastructure - UPI, Aadhaar, Account Aggregator

Data flywheel design and infrastructure literacy for PMs

AI Evaluation & Red Teaming

Module 6

Topics covered

Test dataset construction - Gold, Operational, Adversarial, Safety datasets

RAGAS metrics and LLM-as-judge methodology

Quality gates - launch, target, and aspirational thresholds

Adversarial red teaming - prompt injection, jailbreaks, Hinglish adversarial inputs

Hallucination classification - factual, contextual, logical risk tiers

Ship / No-Ship decision protocol based on evaluation evidence

AI Analytics & Experimentation

Module 7

Topics covered

4-Tier AI Metrics Model - model, system, product, and business metrics

AI-native metrics - acceptance rate, override rate, cost-per-correct-output

A/B testing for non-deterministic outputs - shadow deployment, interleaving

Model drift detection - performance monitoring and retraining triggers

Feedback loop design as product operations

Instrumentation spec and experiment design for AI products

AI Product Economics & Go-to-Market

Module 8

Topics covered

LLM unit economics - token + infrastructure + orchestration costs in INR

The whale user problem and cost governance strategy

AI pricing playbook - consumption-based, outcome-based, seat-based models

GTM for AI trust challenges - trust-first positioning and enterprise AI sales

India market channels - WhatsApp, ONDC, GeM, IndiaAI Mission

Change management and stakeholder alignment for AI products

AI Operations, Safety & Compliance

Module 9

Topics covered

DPDP Act 2023 - consent architecture, data minimisation, purpose limitation

NIST AI RMF - risk tiering, documentation, governance framework

EU AI Act risk tiers and prohibited use cases

RBI FREE-AI framework for financial AI products

Production monitoring, model drift response, go/no-go escalation

AI incident response protocol and regulatory notification

Capstone - IIT Faculty Defence

The Proof

Topics covered

AI Opportunity Brief - problem, suitability, feasibility, competitive landscape

AI Product Specification Pack - behaviour spec, AI PRD, trust architecture

Model Selection Brief - 3+ candidates evaluated with INR cost projections

Working AI Prototype + Production Handoff Specification

AI System Architecture + Evaluation Framework + Red Teaming Evidence

AI Product Business Case + GTM Plan

Live model drift crisis injection - go/no-go decision before faculty panel

Faculty

Experts Shaping the Academic Direction

4

Faculty and Industry Experts

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Prof. Mrigank Sharad

Professor, IIT Kharagpur

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AI systems, intelligent technologies, and advanced computing architectures, with a strong focus on innovation-led technology development and real-world AI applications.

University Profile
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Prof. Ram Babu Roy

Faculty, IIT Kharagpur

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AI, analytics, entrepreneurship, and digital transformation, with a focus on scalable AI-driven business and product ecosystems.

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Piyush Grover

Technology & Product Leader

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AI-enabled product development, platform architecture, and product engineering leadership

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Suyash Prasad

AI & Product Strategy Leader

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AI strategy, product innovation, and digital transformation, helping organisations translate emerging AI capabilities into scalable products and business outcomes.

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A Portfolio of Real AI Products

Portfolio of real AI systems you can demonstrate, explain, and extend

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AI Opportunity & Feasibility Brief

Assess AI opportunities through problem framing, feasibility analysis, and market validation.

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AI Product Specification & Behaviour Design

Build AI PRDs with behaviour specs, trust architecture, and hallucination risk handling.

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Working AI Product Prototype

Create a functional AI product with live LLM integration and production handoff documentation.

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RAG & Agentic AI System Architecture

Design RAG pipelines, agent workflows, autonomy boundaries, and AI system architecture.

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AI Evaluation & Red Teaming Framework

Develop evaluation pipelines, adversarial testing, quality thresholds, and AI analytics frameworks.

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AI Product Business Case & Compliance Strategy

Build AI pricing, token economics, GTM plans, governance, and compliance strategy.

Capstone: Build, Defend & Launch an AI Product

Your signature AI product portfolio, built and Shipped by You

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AI Product

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Portfolio Artefacts

IIT

Faculty Defence

Discover - Validate an AI opportunity and define the product vision.

Design -Create AI PRDs, behaviour specs, and system architecture.

Build - Develop a working AI prototype with LLMs and agentic workflows.

Evaluate - Test quality, safety, performance, and AI metrics.

Launch - Build the business case, GTM strategy, and governance plan.

Defend - Present your AI product before an IIT Kharagpur faculty panel.

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Graduation Ceremony: Culmination at the IIT Kharagpur Campus

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Award Ceremony

Certificate conferred by IIT Kharagpur leadership

Interact with the professors who taught you

On-campus academic recognition with your cohort

Experience the legacy of India’s first IIT

Disclaimer: Images are indicative and for illustrative purposes only

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IIT Kharagpur marks 75 years of shaping India’s engineering and technology leadership

As India’s first IIT, the institute’s Platinum Jubilee celebrates seven and a half decades of academic rigour, research excellence, and nation-building impact. This milestone reflects IIT Kharagpur’s enduring legacy of producing world-class engineers, researchers, and innovators who continue to influence industry, academia, and society globally.

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How will upGrad support you?

Hands-on Learning

    100% Live Sessions by IIT Kharagpur faculty & Industry Experts

    Live Session Schedule: Weekend classes

    Built-in practice and coding console

    Industry oriented projects for real world exposure

    Doubt-resolution sessions through discussion forum

EPGC in Building AI Products, Systems & Services

How To Apply

Complete your application and enrol in the program with three easy steps!

Eligibility

Graduation with a minimum of 50% marks. 

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EPGC in AI Products & Services Course Fee

6 Months
Starting at
INR 6,825/month
Totally INR 1,99,000*

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