Build AI products, not just prompt AI. A programme offered by the Continuing Education Programme (CEP), IIT Delhi.
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Eight months to become the person who decides what AI ships - from product thinking & discovery through LLMs, evaluation, economics and responsible governance.
PROGRAMME OVERVIEW
This is not a prompt-engineering workshop. You move from product first principles (discovery, framing, roadmapping, go-to-market) into what AI products actually turn on: LLMs and RAG, evaluation and guardrails, LLMOps, AI UX and AI economics.
Industry vetted curriculum
Thirty modules across four phases, 60 hours of live class and 30 hours of practicals. Fourteen taught modules across the first half (42 hours of live sessions) split between IIT Delhi faculty on product craft and senior industry experts on the AI stack.
How is this module future-proof
Models change every few months; the discipline of finding a problem worth solving does not. This is the layer that survives every model generation.
Modules 01–04 · 12 hrs live · IITD Faculty
Product thinking, product discovery and problem framing: how AI opportunities are found and scoped.
How this module is helpful
Teaches you to run discovery and frame the problem before anyone writes a prompt, so you can tell an AI-worthy problem from a deterministic one.
Gives you the product-thinking vocabulary to argue for or against an AI feature in a roadmap review.
Closes on a discovery brief — the first artefact you can put in front of a hiring panel or a leadership team.
Want to dive deeper into the details?
Ready to join the Advanced Certificate in AI Product Management and Leadership and take your first step towards success?
PROJECTS YOU WILL SHIP
Thirty hours of practicals: ten guided builds across prompting, RAG scoping, evaluation, unit economics and audit - closing on a timed team build of a working AI product, presented at the campus immersion. Capstone topics and tools are indicative and may be updated by faculty at time of delivery.
A working prototype built on a live LLM inside a single sprint, on your own product problem where possible.
Ships: a working LLM prototype built inside a single sprint.
An evaluation set and a monitoring plan for an AI feature already in front of users, with the metrics and thresholds that decide whether it stays live.
Ships: an evaluation and monitoring plan for a feature already in production.
A responsible-AI audit of an AI product, with the governance plan, risk reviews and policy that keep it compliant and defensible.
Ships: a responsible-AI audit with a governance plan attached.
The team build: a working AI product shipped against the clock. This is the programme's final capstone — the full brief is in the Final Capstone tab.
Ships: a working AI product, built to a deadline, as a team.
An AI-native feature specced end to end for a fintech or SaaS surface — opportunity, data, evaluation and the economics that justify it.
Ships: a specced AI-native feature for a fintech or SaaS surface.
An assistant or copilot scoped against a real enterprise workflow, including where a human stays in the loop and how adoption is measured.
Ships: an assistant or copilot scoped against a real enterprise workflow.
A personalisation or recommendation system for a consumer platform, with the data flywheel and the measurement layer behind it.
Ships: a personalisation or recommendation system for a consumer platform.
Agentic automation designed for banking, health or government — built so it survives a compliance review, with the audit trail and controls that make it approvable.
Ships: an agentic automation design that survives a regulated review.
A teardown of a shipped AI product — what it gets right, where it fails users — followed by a responsible-AI redesign of it.
Ships: a teardown of a shipped AI product plus a responsible-AI redesign.
Masterclass sessions with founders and AI builders on what actually gets funded, shipped and scaled — and what quietly does not.
Ships: a founder-grade read on what gets funded, shipped and scaled.
WHO SHOULD ENROL
Admission is selective. Candidates are admitted by the IIT Delhi Programme Coordinator based on eligibility and a screening review. No prior AI or engineering background is required: the curriculum builds from product first principles upward.
8 Months
DURATION
Online live
FORMAT
130 hrs
LEARNING HOURS
5th Dec'26
STARTS
01
Product managers moving into AI
02
Engineers, designers and analysts stepping into product
03
Founders, consultants and business leaders
LEARNING OUTCOMES
Every module ends in an artefact you can put in front of a hiring panel. By the end you can take an AI product from opportunity and data through evaluation, deployment and unit economics, and defend its governance and business case.
01
Find and frame AI opportunities — run discovery, frame the problem, and separate AI-worthy problems from deterministic ones.
02
Build a defensible roadmap — roadmapping, lifecycle management, stakeholder alignment and a go-to-market plan you can defend.
03
Spec systems built on LLMs — read ML and GenAI capability honestly, then scope prompting, RAG and agent-based features.
04
Evaluate and guardrail AI — design evaluation sets, monitoring and guardrails; work with MLOps and LLMOps teams as a peer.
05
Design AI UX and the flywheel — AI UX patterns for uncertainty, plus the data flywheel, AI analytics and cost-per-task economics.
06
Lead responsibly, at scale — run a responsible-AI audit, set governance, and lead AI product teams and portfolios.
Programme Coordinator
The programme is led by Programme Coordinator Prof. Biswajita Parida, a marketing faculty member at IIT Delhi's Department of Management Studies whose teaching and executive practice sit squarely in product and brand management.
Prof. Biswajita Parida
Teaches the product and brand management core of IIT Delhi's executive portfolio, with extensive experience across product management and tech product management programmes. FPM, IIM Ahmedabad · GLOCOLL 2024, Harvard Business School.
Prof. Biswajita Parida
Teaches the product and brand management core of IIT Delhi's executive portfolio, with extensive experience across product management and tech product management programmes. FPM, IIM Ahmedabad · GLOCOLL 2024, Harvard Business School.
WHY NOW
Foundation models made AI capability available to everyone, so the scarce skill moved. AI products are probabilistic and always evolving, which breaks the traditional playbook: they demand judgement on data, evaluation, guardrails, cost and responsible deployment. The people who carry it, AI Product Managers, are the bottleneck every AI roadmap hits.
3×
Demand outruns supply. AI PM demand exceeds available talent by roughly 3× in 2026, the biggest driver of the pay premium.
Market analyses
2026 India AI-PM market analyses (Glassdoor, AmbitionBox, 6figr). Indicative only.
30–50%
Same seniority, higher pay. AI PMs in India earn 30–50% more than standard PMs at the same level, and the gap widens with seniority.
Market analyses
2026 India AI-PM market analyses (Glassdoor, AmbitionBox, 6figr). Indicative only.
₹39L
India's best-paid product role. Reported average AI PM salary, with senior bands past ₹70L.
Market analyses
2026 India AI-PM market analyses (Glassdoor, AmbitionBox, 6figr). Indicative only.
+40%
Hiring is accelerating. YoY growth in AI PM postings in India, against a global AI market compounding at ~26.6%.
Statista
Global AI CAGR per Statista; India AI-PM posting growth, 2026. Indicative only.
HOW YOU LEARN
A weekend cadence built around a working week: live sessions with IIT Delhi faculty and senior industry practitioners, then practicals you complete on your own product problem. Every module closes on an artefact (a PRD, an evaluation plan, a cost model, a governance review), not a quiz.
Concepts taught live, then pressure-tested against how they behave in a real organisation. Sixty hours of weekend sessions, Q&A and faculty-led discussion across 30 modules.
Five sector simulations: consumer AI, enterprise AI, fintech, healthtech, SaaS and edtech. Decided under time pressure.
You work on your own product problem where possible, so the artefacts are usable at work. Thirty hours of guided builds: prompting, RAG scoping, evaluation, unit economics, audit.
Work is reviewed by faculty and practitioners, and the final build is defended live. Beyond the 60 hours of live class and 30 hours of practicals, 30 hours are self-paced project work on your own product problem and 10 hours are the campus immersion at IIT Delhi.
AI mock interviews with distinct AI interviewers for each round, plus an AI resume builder and review trained on AI hiring patterns — offered by Varsity by InterviewBit. IIT Delhi and CEP are not responsible for the same.
CAMPUS IMMERSION
An optional one-day immersion on the IIT Delhi campus, a full day of in-person work: present the team build, run the responsible-AI review in the room, and close the programme with faculty, industry experts and your cohort.
Indian Institute of Technology - Delhi
The immersion is optional for learners to attend. Travel and accommodation will be borne by the participants. IIT Delhi or CEP will not be responsible for the same. A hybrid option remains available for candidates unable to come on campus. Note: Immersion dates are confirmed to the cohort in advance and are subject to campus availability.
Defend the final product decisions in person, in front of faculty and practising AI product leaders.
Direct conversation with IIT Delhi faculty, researchers and mentors connected to the programme.
Build relationships with a cohort of working professionals leading AI products across sectors.
Certificate
On completion, participants receive a certificate from the Continuing Education Programme (CEP), IIT Delhi. Two certificate types are issued, based on total marks scored. Only e-Certificate will be offered by CEP, IIT Delhi.
Certificate of Successful Completion
Awarded to candidates who score at least 60% marks overall.
Certificate of Participation
Awarded to candidates who score less than 60% marks overall.
Admissions
Follow the steps to understand how cohort information works.
Cohort Calendar
Admission Process
Starting at
₹10,797/month
One investment, a career-long return — an IIT Delhi credential, and the applied AI product management and leadership skills to put your learning to work from day one.
Payment
Balance + GST as one-shot, or EMI via NBFC partners.
Note on instalments
FAQ
Honest answers to the questions that might be holding you back.
Build AI products, not just prompt AI — become the one top companies are hiring for.
