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Advanced Certificate in AI Product Management and Leadership

Service Provider : InterviewBit Software Services Pvt Ltd (Varsity)

Features

Application Deadline:29th November 2026
Duration:8 Months
Mode:Online

Programme Overview

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.

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Start Date
5th December 2026
End Date
31st August 2027
Programme Type
eVIDYA
Status
Admissions Open
Programme Fee

₹ 1,80,000 + 18 % GST

Class Schedule

Weekend Classes (Saturdays, 10:00 am - 1:30 pm)

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.

Programme Highlights

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

Programme Modules

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.

Learning Outcomes

01 — Find and frame AI opportunities
Run discovery, frame the problem, and separate AI-worthy problems from deterministic ones.

02 — Build a defensible roadmap
Road mapping, 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.

Tools

Jira

Figma

SQL

Chat GPT

Evaluation Frameworks

Roadmapping & PRD

Programme Coordinator

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Professor Biswajita Parida

Associate Professor

Department of Management Studies

Indian Institute of Technology Delhi

Teaches the product and brand management core of IIT Delhi’s executive portfolio, with extensive experience across product management and tech product management programmes.

Biswajita Parida is an Associate Professor of Marketing in the Department of Management Studies at the Indian Institute of Technology Delhi. She holds an FPM from IIM Ahmedabad, completed GLOCOLL 2024 at Harvard Business School, and came to academia from industry, with a B.Tech in Applied Electronics & Instrumentation and experience at Tata Consultancy Services.

Her teaching spans Consumer Behavior, Marketing Management, Product and Brand Management, Integrated Marketing Communication and Marketing Research across the MBA and executive programmes. Her research examines consumer behavior, technology and marketing, taboo demarketing and sustainability marketing.

At CEP, IIT Delhi she has vast experience teaching and leading executive programmes in product management and tech product management, and has led training and consulting engagements for central government bodies and industry. Industry modules and practical's in this programme are delivered alongside her by senior AI product practitioners.

HONOURS

Prof. Tirath Gupta Memorial Award for best thesis, IIM Ahmedabad · Teaching Excellence Award, IIT Delhi · New Faculty Seed Grant, IIT Delhi

PROGRAMMES LED

Vast experience designing and leading executive programmes in product management and tech product management, and in strategic marketing for government schemes and policies.

TRAINING & CONSULTING

Startup India · India Post · Indian Oil · National Academy of Defense Production · Bill & Melinda Gates Foundation · Ministry of Textiles · Archaeological Survey of India

Programme Sample Certificate

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On completion, participants receive a certificate from the Continuing Education Programme (CEP), IIT Delhi. Two certificate types are issued, based on assessment performance.

TWO CERTIFICATE TYPES

TYPE 01 — Certificate of Successful Completion

Eligibility:
Awarded to candidates who score at least 60% marks overall.

TYPE 02 — Certificate of Participation

Eligibility:
Awarded to candidates who score less than 60% marks overall.

FORMAT & WHAT IS ON IT

Issued by
Continuing Education Programme (CEP), Indian Institute of Technology Delhi.

Format
Verifiable e-certificate only. No printed copy is issued.

Organizing Department
The organizing department of this programme is the Department of Management Studies, IIT Delhi.

Installment Schedule

Programme Fees: ₹ 1,80,000 + 18 % GST

Instalment

Instalment Date

Amount (₹)*

Application Fee

To be paid at the time of Application 

1,000/-

1st Instalment

Within 4 days of offer roll-out

30,000/-

2nd Instalment 

1st December, 2026

1,50,000/-

Note:

  • *Application fee is non-refundable and non-transferable.

  • The application fee will not be adjusted in the total programme fee.

  • GST@18% will be applicable.

Refund Policy

  • Candidates can withdraw within 15 days from the programme start date. 80% of the total fee received is refunded. The applicable tax amount paid is not refunded. Candidates withdrawing after 15 days from the start of the programme session are not eligible for any refund.

  • To withdraw, email cepaccounts@admin.iitd.ac.in and refunds_varsity_del@interviewbit.com. Refunds, if applicable, are processed within 30 working days.

Frequently asked questions

An Advanced Certificate offered by the Continuing Education Programme (CEP), IIT Delhi, an AI-first product leadership programme built to take you from product thinking and discovery through LLMs, evaluation, economics and responsible AI governance.

Online live, with weekend sessions (Saturdays, 10 am-1:30 pm) built around a working week. There is also an optional one-day IIT Delhi campus immersion, with a hybrid option available.

Ten guided practicals across prompting, RAG scoping, evaluation, unit economics and audit, plus a timed team build of a working AI product as the final capstone, presented at the campus immersion.

Admission is selective. You submit a roughly 10-minute online application with a ₹1,000 fee, IIT Delhi CEP screens against eligibility, shortlisted candidates receive an offer, and you confirm your seat by paying the first instalment within 4 days.

A verifiable e-certificate from CEP, IIT Delhi (no printed copy). Two types are issued: a Certificate of Successful Completion (60% marks or above) or a Certificate of Participation (below 60% marks).

1st floor, Wing-B, Vishwakarma Bhawan, Indian Institute of Technology Delhi, Hauz Khas, New Delhi – 110016

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Contact

:contactcep@admin.iitd.ac.in
:011-26591915, 011-26597996
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