Certification in Product Management with Applied AI Program

Learn from IIM/IIT faculty and industry mentors.
9+ PM tools like Jira, Mixpanel.
Build AI product, 1 Capstone Project.

Course Duration

6 Months

Eligibility

12th Pass and Above

Learning Mode

Online

Live Classes

8-10 Hours/Week

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3.8K+ students have already registered

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Why Choose This Course?

Get future-ready in PM by learning directly from IIM and IIT professors and leading industry pros.

Certification from iHUB DivyaSampark, IIT Roorkee

Receive a Certificate of Completion from iHUB DivyaSampark, IIT Roorkee, recognising your achievement.

Campus Immersion

An optional 3-day campus immersion for direct interaction with industry experts and peers.

Placement Assistance

Eligible students will receive 1 year of placement assistance, along with resume review and interview coaching sessions facilitated by Masai. (Eligibility: 70% marks and 65% attendance)

Advanced Curriculum

Master advanced product management by leveraging AI, analytics, and agent-based systems, with hands-on experience through real-world tools and a capstone project.

Case-Based Learning:

Tackle real-world product challenges through case-driven sessions that bridge strategy, user research, and AI integration in modern PM workflows.

World-Class Faculty:

Learn directly from IIMs' and IITs' top-tier faculty and industry experts.

*Certificate Eligibility: Minimum 65% overall attendance and 30% marks in cumulative evaluations score

What Will You Learn?

Elevate your product management skills by building AI-powered solutions, integrating agent workflows, and driving innovation through data-driven strategies. Gain real-world experience with hands-on tools and capstone projects that prepare you to lead modern, tech-driven product teams. Position yourself as a strategic leader ready to navigate the future of technology.

What Will You Learn?

Toolkit

Tool 1
Tool 2
Tool 3
Tool 4
Tool 5

Course Details

Duration

6 Months

Course Mode

Online

Certification

From iHUB DivyaSampark, IIT Roorkee

Module 1: Product Management in the Age of LLMs
  • • Understand the product manager's job: balancing what users value, what the business needs, and what can be built
  • • Understand how LLMs produce their answers, why they can be confidently wrong, and how to catch it
  • • See which parts of product work LLMs now handle in minutes, and which still depend on your judgement
  • • Run your first product teardown: take apart a popular app to see the decisions behind it
Module 2: Discovering What to Build
  • • Find the root cause of a user's problem, through interviews that do not lead the answer
  • • Find patterns across interviews and app reviews with retrieval-augmented generation (RAG), which lets an LLM answer from your own documents and show its sources
  • • Decide whether an opportunity is worth pursuing, and prioritise solutions by weighing value against effort
  • • Choose a North Star metric, the one number that best shows a product is delivering value
  • • Have an LLM draft a product spec, then review it yourself for what is missing or unsupported
Module 3: Prototyping with AI App Builders
  • • Map the user flow, and apply basic design principles, before you build
  • • Turn your spec into a working, clickable prototype with an AI app builder, a tool that builds an app from a plain description
  • • Make the prototype realistic enough to test, with the screens and states users will meet
  • • Test the prototype with real users, and improve it based on what you see
  • • Know where a prototype built this way stops working, and what engineering must rebuild properly
Module 4: Working with Engineering Teams
  • • Understand how software is built, and how APIs let one product talk to another
  • • Write user stories, and run work in Agile ways with sprints and a shared backlog
  • • Understand estimates and technical debt, and make trade-offs between scope, time and quality
  • • Keep engineering, design and business aligned on a decision
  • • Map how an AI agent, an AI that can plan steps and use tools, should handle routine delivery work
Module 5: Measuring What Works
  • • Read funnels, which show each step users take, to find where people drop off
  • • Compare cohorts, groups of users who started at the same time, to see who stays
  • • Track your North Star metric on a live dashboard
  • • Design an A/B test, where two versions go to different users, and read what the result really shows
  • • Decide whether to improve, grow or stop a feature, based on evidence
Module 6: Designing and Launching AI Features
  • • Tear down AI features in apps you already use, to see how they handle mistakes and earn trust
  • • Decide whether a problem needs AI at all, and whether an LLM, RAG or an AI agent fits it best
  • • Design and build a working AI feature prototype, including how it shows uncertainty and recovers from mistakes
  • • Write evaluations, sets of test cases with known answers, and balance quality against cost and speed
  • • Add guardrails, the rules that stop an AI feature from causing harm, check fairness and privacy, and make the launch decision
Module 7: Winning the Market
  • • Compare business models such as subscriptions, marketplaces and advertising, and how each makes money
  • • Set pricing, including for AI features whose cost grows with every use
  • • Design growth loops, where each new user helps bring in the next
  • • Present a product recommendation to decision-makers, backed by clear evidence

Projects

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Zepto Review Mining & Feature Spec

Collect Zepto's public app reviews and use RAG to find the patterns, with every insight traced back to a real user's words. Tear down the current experience, choose the one problem most worth solving, and write the spec. Then build a working prototype of your fix, test it with real users, and choose the metric it should move. This is what a Product Manager portfolio piece actually looks like.

RAG-based review mining
Experience teardown
Problem prioritisation
Prototype & user testing
Success-metric selection

DECISION OUTPUT

A prioritised three-fix recommendation with wireframes ready for design review.

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AI Trip Planner for MakeMyTrip

Design an AI trip planner for MakeMyTrip and decide whether it needs an LLM alone or RAG grounded in real travel information. Build a working prototype, write evaluations to test its answers, and add guardrails so it says clearly when it does not know. Map how a booking agent should behave and where a person must approve. Then decide whether it is ready to launch, and support the decision with evidence.

LLM vs RAG decision
Prototype build
Evaluation design
Guardrails & fallbacks
Agent & human-approval mapping

DECISION OUTPUT

A defendable AI-feature spec ready for cross-functional review with engineering, design, and legal.

Please Note :- "Due to the evolving nature of the industry expectations and partner institute feedback, some syllabus aspects may change. Any updates will be communicated during the Inauguration Session(s) or at the start of the relevant module". The project deliverables or case studies for your batch may differ, as per the decision of the Institute or Course Faculty

Meet Our Instructor Team

Ashwin Goyal

Ashwin Goyal

AI Product Manager, HRS Group | ex-Udaan | IIT-Ropar

Ashwin Goyal builds generative AI products for the travel tech industry while sharing his expertise through teaching, podcasting, and mentoring. Skilled in SQL, Python, product analytics, and machine ...

Ankush Panday

Ankush Panday

Product Manager at Payme | Founder @ AI PM Academy

Ankush's work focuses on advancing excellence in Product, driving impactful research and industry-oriented applications. As a seasoned industry professional, Ankush actively mentors learners and contr...

Karan Purohit

Karan Purohit

AI Product Manager | ML Engineer | Founding Member of Saarthi.ai

Karan's work focuses on advancing excellence in Product, driving impactful research and industry-oriented applications. As a seasoned industry professional, Karan actively mentors learners and contrib...

Anuttam Grandhi

Anuttam Grandhi

Product Manager @ Flipkart, ex- BigBasket | MBA- SBM, NMIMS, Mumbai | Mentor- B School Placements | Founder- SRMbyAG

As a seasoned industry professional, Anuttam actively mentors learners and contributes to high-quality projects across the domain.

Ashay Sinha

Ashay Sinha

Senior Product Manager @ Adobe | IIM Bangalore | IIT (ISM) | Ex-Microsoft, BCG, Samsung Research

Senior Product Manager @ Adobe | IIM Bangalore | IIT (ISM) | Ex-Microsoft at BCG, Samsung Research. Ashay's work focuses on advancing excellence in Product, driving impactful research and industry-ori...

Parth Dixit

Parth Dixit

Senior Product Manager, Tata 1mg | ex-Flipkart

Parth's work focuses on advancing excellence in Product, driving impactful research and industry-oriented applications. As a seasoned industry professional, Parth actively mentors learners and contrib...

Udit Bhatia

Udit Bhatia

Principal Product Manager, M3 | ex- Flipkart| Visiting faculty - IIT D

Udit Bhatia is a product Manager with 8+ years of experience in B2B and B2C product management across consumer internet and SaaS. Currently leading the engagement and growth strategy at M3 Inc’s edtec...

Achin Gupta

Achin Gupta

Director of Product at Awign - India’s Largest Work Platform

Director of Product at Awign - India’s Largest Work Platform. Achin's work focuses on advancing excellence in Product, driving impactful research and industry-oriented applications. As a seasoned indu...

Vignesh Raja

Vignesh Raja

Vignesh Raja is a seasoned strategy consultant with over 19 years of experience in business research, analytics, and strategic advisory across diverse sectors including chemicals, pharmaceuticals, con...

*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.

Admission Process

1

Submit Application

Complete application form to showcase your motivation and goals

Submit Application
2

Complete Selection and Enrolment Session

Only shortlisted users can go through this session

Complete Selection and Enrolment Session
3

Start Learning

Learn from India's top educators and stand out from the crowd

Start Learning

Fee structure

Application Fee

Non-refundable.

₹100

Registration Fee

₹4,000

Program Fee

₹58,000

Total Fee

₹62,000

+Gst

Pay your Program Fee, your way

Best Value

Upfront Payment

Pay once, save more.

₹69,160

EMI via NBFC Partners

Spread the cost over 9 months.

₹8,837 /month × 9

*Inclusive of GST

Program fee is refundable as per our Refund & Withdrawal Policy

Our NBFC Partners

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Who Is This Course For?

Anyone with a passion for building a career in Product Management

Build products, not just features - lead with strategy, not just code.

Build products, not just features - lead with strategy, not just code.

  • Learn to write PRDs, user stories, and run Agile sprints using Jira, so you can own the product roadmap, not just execute tickets.
  • Use Mixpanel to build conversion funnels and retention cohorts, turning raw data into decisions that drive growth.

Top 1% Edge

Lead AI-first engineering teams with agentic expertise.

How is this course different from others?

This Programme
Other programmes
Combined Academic and Industry Mentorship
Learn from IIT professors and industry experts, ensuring a blend of theoretical knowledge and real-world insights.
Primarily led by academic faculty with limited industry exposure.
Student Support & Engagement
Dedicated student support, query resolution, continuous feedback, and interactive sessions via Zoom.
Support systems can vary, potentially lacking personalised guidance or real-time interaction.
Certification
Receive a prestigious certificate of completion from iHUB DivyaSampark, IIT Roorkee.
Certifications may be generic or from less recognised institutions, offering less industry differentiation.
Hands-on Product Deployment
Gain practical experience in deploying and scaling AI-powered products using tools like MLflow, Hugging Face, and Weights & Biases.
Limited practical exposure and rely heavily on theory, with minimal hands-on experience using industry-standard tools and workflows.
Campus Immersion
A 3-day optional Campus Immersion at iHUB DivyaSampark, IIT Roorkee Campus.
No Campus immersion.
Placement Assistance
Eligible students will receive 1 year of placement assistance, along with resume review and interview coaching sessions facilitated by Masai. (Eligibility: 70% marks and 65% attendance)
Limited placement assistance; students often navigate job searches independently.

The Future of Product Management is Here

300%

Growth in PM Roles with ₹12–55 LPA Salaries in 90K+ Startups

Source: Aon India Talent Report
68%

Product Teams Will Use AI by 2025

Source: Zinnov Digital Engineering Report 2024

"AI will create phenomenal new products. The best PMs of the future will deeply understand both the capabilities and limitations of AI systems."

Sam Altman
Sam Altman, CEO of OpenAI.

About iHub DivyaSampark IIT Roorkee

iHUB DivyaSampark is a Section 8, not-for-profit Technology Innovation Hub at IIT Roorkee, established under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS)by the Department of Science & Technology (DST), Government of India.

Strong Industry & Research Ecosystem

With active collaborations, incubators, and innovation hubs, IIT Roorkee bridges academia and industry to drive real-world impact.

Industry-Focused Learning

iHub DivyaSampark IIT Roorkee maintains strong ties with industries across its campus locations, providing students with opportunities for internships, real-world projects, and networking with business leaders.

How will Masai help you?

How will Masai help you
1

Placement Assistance

Eligible students will receive 1 year of placement assistance, along with resume review and interview coaching sessions facilitated by Masai. (Eligibility: 70% marks and 65% attendance)

2

Real-Time Learning Ecosystem

Experience a constantly evolving curriculum with live classes and instant academic assistance, designed to keep pace with industry advancements.

3

Industry Integration and Projects

Participate in hands-on industry projects guided by expert mentors from IIT and top companies, ensuring practical and relevant skills development.

Contact Us

WhatsApp us

For any queries, you can Whatsapp us at +918792974750

Email us

For any queries, you can contact us at ihubiitr.programs@masaischool.com

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