Batch 4 - Admissions Open
Certification in Product Management with Applied AI Program
Qualifier Test Date
October 18, 2026
Course Duration
6 Months
Eligibility
12th Pass and Above
Learning Mode
Online
Live Classes
8-10 Hours/Week
4.4K+ students have already registered
Enter the following details to continue
Qualifier Test Date
October 18, 2026
Course Duration
6 Months
Eligibility
12th Pass and Above
Learning Mode
Online
Live Classes
8-10 Hours/Week
Why Choose This Course?
Get future-ready in PM by learning directly from IIM, IIT professors and leading industry pros.
Receive a Certificate of Completion from iHUB DivyaSampark, IIT Roorkee, recognising your achievement.
An optional 3-day campus immersion for direct interaction with industry experts and peers.
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)
Master advanced product management by leveraging AI, analytics, and agent-based systems, with hands-on experience through real-world tools and a capstone project.
Tackle real-world product challenges through case-driven sessions that bridge strategy, user research, and AI integration in modern PM workflows.
Learn directly from IIMs, IITs top-tier faculty and industry experts.
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, 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.
Toolkit
Course Details
Duration
6 Months
Course Mode
Online
Certification
From iHUB DivyaSampark, IIT Roorkee
- • 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
- • 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
- • 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
- • 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
- • 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
- • 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
- • 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
- • Plan a go-to-market launch, and position the product so users understand why it matters
- • Design growth loops, where each new user helps bring in the next
- • Present a product recommendation to decision-makers, backed by clear evidence
Projects
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.
DECISION OUTPUT
A feature spec for the one problem worth solving, backed by traceable user evidence, a tested prototype, and a chosen success metric.
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.
DECISION OUTPUT
An evidence-backed launch decision for an AI trip planner, with tested answers, defined guardrails, and clear points of human approval.
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
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...
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...
*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.
Admission Process
Clear Qualifier Test
Clear the qualifier test to be eligible for the program
Complete Counselling
Only shortlisted candidates go through the counselling process
Start Learning
Learn from India's top educators and stand out from the crowd
Clear Qualifier Test
Clear the qualifier test to be eligible for the program
Complete Counselling
Only shortlisted candidates go through the counselling process
Start Learning
Learn from India's top educators and stand out from the crowd
Qualifier Test Details
To join this program, you must clear the qualifier test on your allotted date.
Test Topics
- Logical Reasoning & Data Interpretation
- Quantitative Aptitude
- Basic Maths
Registration Process
- Pay ₹99 and choose your slot
- Unlock free mock test and practice before your final exam
Things to remember
- Test duration : 60 minutes
- You can take the test only once at your allotted time & slot.
- The test must be taken on a desktop or laptop. Supported browsers (latest versions only): Google Chrome, Safari, Microsoft Edge, and Firefox.
Fee structure
Qualifier Test Fee
Non-refundable.
Registration Fee
₹4,000
Program Fee
₹58,000
Total Fee
₹62,000
+Gst
Pay your Program Fee, your way
Upfront Payment
Pay once, save more.
₹69,160
EMI via NBFC Partners
Spread the cost over 9 months.
*Inclusive of GST
Program fee is refundable as per our Refund & Withdrawal PolicyOur NBFC Partners
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.
- 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?
The Future of Product Management is Here
Growth in PM Roles with ₹12–55 LPA Salaries in 90K+ Startups
Source: Aon India Talent ReportProduct 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."
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?
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)
Real-Time Learning Ecosystem
Experience a constantly evolving curriculum with live classes and instant academic assistance, designed to keep pace with industry advancements.
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
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