Professional Certificate in Product Management
Learn to discover, build and grow digital products with data, design thinking and AI — from idea to launch.
- Product teardowns
- Live case sprints
- PM mentors
- AI product module
Applications close 20 December 2026
Speak to a programme expert
- Duration
- 6 months
- Mode
- Online + campus immersion
- Schedule
- Saturdays & Sundays
- Programme fee
- ₹1,15,000 + GST
- Eligibility
- Graduates with 2+ years of work experience
- Starts
- 31 January 2027
Programme overview
The Professional Certificate in Product Management teaches you to decide what to build, why and for whom — and then to get it built and adopted. You’ll learn customer discovery, product strategy, roadmapping, working with design and engineering, and the metrics that tell you whether a product is actually working.
A dedicated module covers AI products: what machine learning and LLMs can realistically do, how to scope and evaluate AI features and how to ship them responsibly. You’ll practise on product teardowns, live case sprints and a capstone pitch to product leaders.
Who is this programme for?
Eligibility: Graduates with 2+ years of work experience.
Aspiring product managers
Engineers, analysts, designers and consultants who want to move into PM roles.
New and associate PMs
People in their first PM job who want a structured foundation.
Founders and business owners
Entrepreneurs who want to build products customers will pay for.
Why this matters now
Key benefits
Find problems worth solving
Run customer interviews and validate problems before writing specs.
Prioritise ruthlessly
Use frameworks and data to choose what goes on the roadmap.
Work well with engineers and designers
Write clear specs and make smart trade-offs together.
Measure what matters
Define a North Star metric and read funnels, cohorts and experiments.
Build AI products
Scope, evaluate and launch features powered by ML and LLMs.
Land the PM role
Prepare for product-sense, metrics and case interviews.
Programme highlights
Product teardowns
Weekly breakdowns of popular Indian and global apps.
Live case sprints
Solve real product problems from partner start-ups in teams.
PM mentors
One-on-one guidance from product managers at leading product firms.
AI product module
A full module on building with machine learning and LLMs.
Hands-on tools
Figma, Jira, SQL and product analytics tools in every module.
Interview bootcamp
Mock product-sense, estimation and metrics interviews.
Portfolio of artefacts
PRDs, roadmaps and teardown decks you can share.
Capstone pitch
Pitch your product to a panel of product leaders.
Curriculum
A practical, module-by-module journey. Each module ends with a case study or hands-on assignment.
01 The role of the product manager
- Product, project and programme management compared
- The product lifecycle
- Working with engineering, design and business
- Building product sense
02 Customer discovery
- Running user interviews
- Jobs to be done
- Opportunity solution trees
- Validating problems with quick tests
03 Strategy and roadmaps
- Product vision and strategy
- Prioritisation with RICE and Kano
- Outcome-based roadmaps
- Aligning stakeholders
04 Design and delivery
- Writing PRDs and user stories
- Wireframes and prototypes in Figma
- Agile and scrum in practice
- Scope and trade-off decisions with engineers
05 Campus immersion I
- Live sessions with faculty on campus
- Peer learning and group work
- Storytelling and presentation workshop
06 Metrics and analytics
- Choosing a North Star metric
- Funnels and retention cohorts
- Designing A/B tests
- SQL for product managers
07 Growth and go-to-market
- Positioning and messaging
- Pricing and packaging
- Launch planning
- Growth loops and referral
08 Building AI products
- What ML and LLMs can and can’t do
- Scoping AI features and data needs
- Evaluating AI quality and failure modes
- Responsible AI and user trust
09 Capstone: product pitch
- Pick a problem and research users
- Define the product and MVP
- Build a prototype and success metrics
- Pitch to a panel of product leaders
10 Campus immersion II
- Capstone presentation to a faculty panel
- Career guidance and networking
- Certificate ceremony
Real-world case studies
A bill-payments app
An onboarding redesign that cut first-week drop-off by a quarter.
A regional-language learning app
Finding product-market fit with learners in small towns.
A restaurant-software start-up
Rethinking pricing tiers to win single-outlet owners.
A travel-booking app
Scoping and testing an AI trip planner before a full build.
An agritech platform
Voice-first features for farmers with low literacy.
A fitness subscription
Retention experiments that doubled month-three renewals.
Career pathways
Roles our learners grow into, with typical salary ranges in India.
| Role | Typical salary |
|---|---|
| Product analyst | ₹8–16 LPA |
| Associate product manager | ₹10–18 LPA |
| Product owner | ₹12–25 LPA |
| Product manager | ₹18–35 LPA |
| Growth product manager | ₹20–40 LPA |
| AI product manager | ₹25–50 LPA |
| Senior product manager | ₹30–50 LPA |
Salary ranges are indicative, based on public job-market data. The programme does not guarantee placement.
Tools you’ll use
| Tool | What you’ll use it for |
|---|---|
| Figma | Wireframes and clickable prototypes |
| Jira | Backlogs, sprints and delivery tracking |
| Mixpanel / Amplitude | Product analytics, funnels and cohorts |
| SQL | Pulling product data yourself |
| Miro | Discovery workshops and journey maps |
| Notion | PRDs, roadmaps and product wikis |
Programme outcomes
By the end of the programme you will be able to:
01
Run customer discovery and turn insights into clear problem statements
02
Build and defend a product strategy and outcome-based roadmap
03
Write PRDs and work effectively with design and engineering
04
Define success metrics and read product analytics and experiments
05
Scope and evaluate AI-powered product features
06
Perform confidently in product management interviews
Admission process
Apply online
Fill in the short application form and pay the application fee.
Eligibility review
Our team checks your education and experience.
Selection
A short call or interview with the programme committee.
Offer letter
Selected candidates receive an offer by email.
Confirm your seat
Pay the first instalment or set up EMI to enrol.
Earn your certificate
Successful participants receive a certificate of completion from MordenTech, a credential recognised by employers across industries.
Awarded to participants who meet the attendance and assessment requirements. The certificate shown is a sample, for illustration only.
Campus immersion
Spend two to three days on the MordenTech campus: live sessions with faculty, a storytelling workshop, your capstone presentation, and time to network with classmates and industry guests.
The immersion is optional and costs ₹5,000–₹10,000, including food and stay on campus. Travel and personal expenses are not included.
Fee structure
| Item | Amount |
|---|---|
| Application fee (one-time) | ₹1,000 |
| Programme fee | ₹1,15,000 |
| GST (18%) | ₹20,700 |
| Total programme fee | ₹1,35,700 |
The total excludes the application fee. No refunds after the programme starts; see the refund policy.
Payment schedule
| Instalment | Amount | When |
|---|---|---|
| First instalment | ₹57,500 + GST | Within 7 days of your offer letter |
| Second instalment | ₹57,500 + GST | Before the halfway point of the programme |
Easy EMI options
Pay for Product Management in easy monthly instalments through our lending partners.
24 months
- Low-cost EMI
- Smallest monthly amount
- Subject to lender approval
Programme faculty
Learn from faculty and practitioners who teach what they do.
Prof. Vikram Rao
Teaches digital strategy and has advised several unicorn start-ups.
Prof. Sanjay Gupta
Author of two books on supply-chain analytics.
What our learners say
“The capstone was close to my real job — I used the model at work before the programme ended.”
“Weekend classes made it possible alongside a demanding role, and the faculty were superb.”
“The campus immersion and peer network were worth it on their own.”
In the news
MordenTech launches AI programmes for working professionals
New live online programmes in AI for commerce, data science and generative AI.
Faculty win national award for research in AI
The award recognises work on language models for Indian languages.
First batch completes campus immersion
Over 120 professionals presented capstone projects to a faculty panel.
Frequently asked questions
Do I need an engineering background?
Will this help me get a PM job?
How much of the course is about AI?
Is there a lot of theory?
Are the programmes online?
Who can apply?
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