Advanced Certificate in AI Product Management and Leadership (AIPML Batch 1)

The Advanced Certificate in AI Product Management and Leadership from IIT Delhi is an AI-first product leadership programme designed for professionals looking to build and lead AI-powered product, including product managers transitioning into AI. Engineers, designers and analysts moving into product roles, and founders, consultants and business leaders responsible for AI-driven outcomes.Led by Programme Coordinator Prof. Biswajita Parida, Associate Professor of Marketing at IIT Delhi's Department of Management Studies, alongside senior AI product practitioners who deliver the AI-stack modules and case simulations. This is not a prompt-engineering workshop: the curriculum moves 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.Across the programme, participants run discovery and frame AI-worthy problems, build a defensible roadmap and go-to-market plan, spec systems built on LLMs (prompting, RAG, agents), design evaluation sets and guardrails for probabilistic systems, master AI UX, the data flywheel and cost-per-task economics, and run a responsible-AI audit and governance review. Learning is tested against five sector case simulations - consumer AI, enterprise AI, fintech, healthtech and SaaS/edtech - and closes with a timed team build of a working AI product, defended live at an optional campus immersion at IIT Delhi. The programme equips learners to step into AI Product Manager, GenAI/LLM Product Manager, AI Platform Product Manager, Enterprise AI Product Owner, AI Product Leader, Data & AI Analytics Product Manager, Responsible AI & Governance Lead, and AI Product Growth & GTM Manager roles.

Product thinking product discovery problem framing product roadmapping.

Product lifecycle management stakeholder alignment go-to-market strategy.

ML and GenAI foundations for PMs building with LLMs: prompting, RAG and agents.

Evaluation and guardrails for probabilistic systems MLOps and LLMOps.

Designing for probabilistic output: confidence, correction, fallback and trust patterns.

The data flywheel and AI economics AI analytics and the measurement layer.

Consumer AI enterprise AI fintech healthtech SaaS and edtech: five sector simulations, decided under time pressure.

Setting AI product strategy, structuring teams, defending investment cases, owning portfolio outcomes.

One-sprint live LLM prototype evaluation and monitoring plan for a live AI feature responsible-AI audit and governance plan timed team build of a working AI product.

AI-native feature for a fintech or SaaS product GenAI assistant or copilot for an enterprise workflow personalization or recommendation system for a consumer platform.

Agentic automation for a regulated industry (banking, health, government) AI product teardowns and responsible-AI redesign of an existing product.

Sessions with founders and AI builders on what actually gets funded, shipped and scaled.

Eligibility Criteria

Applicants are expected to hold a diploma or graduation (10+2+3) from a university recognised by UGC, AICTE, DEC, AIU, or a state government.

An AI-first Product Leadership Programme, Not A Prompt-engineering Workshop

Taught By IIT Delhi Faculty On Product Craft; Senior Industry Experts Drive The AI-stack Modules

30 Modules Across 4 Phases; 130 Hours Of Learning In Total

Five Industry Case Simulations: Consumer AI, Enterprise AI, Fintech, Healthtech And Saa S/edtech

Ten Guided Practicals Across Prompting, RAG Scoping, Evaluation, Unit Economics And Audit

Final Capstone: Teams Build Of A Working AI Product, Presented At The Campus Immersion

Optional One-day Campus Immersion At IIT Delhi, Hauz Khas

E-certificate From CEP, IIT Delhi On Completion

Maps To Eight AI Product Career Paths, From AI PM To AI Product Leader

Weekend Format Designed For Working Professionals