Offered by IIT Madras Pravartak – A Technology Innovation Hub at IIT Madras
Advanced Certificate Program in AI Powered Product Design and Management
Become the AI-first product leader every company needs!
Start Date
Course Fee
Duration
Format
Master the AI-Powered Product Lifecycle, End-to-End
This Program Shapes AI-First Product Leaders!
The AI-Powered Product Design & Management is built for one urgent mission:
To prepare you to become the full-stack, AI-first product innovator that modern businesses demand.
About IIT Madras Pravartak
IIT Madras Pravartak Technologies Foundation is the Technology Innovation Hub of IIT Madras, set up by the Government of India’s Department of Science & Technology through the National Mission on Interdisciplinary Cyber-Physical Systems. Positioned at the intersection of academia, research, and industry, it leverages IIT Madras’ six decades of excellence, world-class faculty, and advanced labs to deliver skilling, incubation, and innovation programs. It works closely with industry leaders and government bodies to drive technology adoption and build future-ready talent pipelines.
IIT Madras Faculty
The IIT Madras faculty are globally recognized for their contributions in AI, product design, and management. With expertise spanning AI-powered systems to ethical AI frameworks, they combine research leadership with real-world application. As part of this program, you’ll learn directly from these experts through immersive, hands-on sessions, gaining the skills to design and scale AI-infused products that are adaptive, ethical, and industry-ready.
Traditional Product Management vs. AI-Powered Product Design & Management at IIT Madras
How you go from Learning to executing with AI… in just 7 months
Module 1: The Foundation Skills
- Understanding the PM Lifecycle in Age of AI
- Understanding AI
- Generative AI for PMs
- Agentic AI Collaboration
- Prompt Engineering Essentials
- Tech Stacks and Ecosystems for PMs
Module 2: Customers and Products in AI Age
- AI-Driven Customer Lifecycle Management (acquisition, engagement, retention, churn prediction)
- Hyper-Personalization & Predictive Journeys
- Behavioral Analytics & Sentiment Mining
- Designing Self-Learning Products (continuous improvement through AI feedback loops)
- Voice of the Customer in the AI Age (multi-channel, multilingual, real-time analysis)
- Product-Market Fit Discovery with AI
Module 3: Market Discovery and Foresight
- Understanding Market Discovery
- Foresight thinking
- AI-driven market trend prediction
- Competitive intelligence with AI
- Voice of Customer mining (social listening, review mining)
Module 4: Elastic Requirements Engineering
- Live requirement discovery
- Continuous prioritization
- Customer interviews augmented by AI
- Dynamic PRD frameworks
Module 5: Product Design
- Design Thinking for AI Products
- Human-Centered Design Principles
- AI-Driven UX Research
- Ethical and Inclusive Design
- Design Validation and Usability Testing
Module 6: Prompt Based Design and Prototyping
- Prompt-based UI/UX generation
- Digital twin simulation
- Instant prototyping from text
Module 7: Agile Development Enablement with AI
- AI in coding (pair programming)
- AI-generated testing
- DevOps and CI/CD AI integration
Module 8: Precision Launch and GTM Orchestration
- Dynamic segmentation
- Personalization at scale
- Pricing optimization with AI
- AI in content and messaging
Module 9: Live Product Intelligence and Post Launch Growth
- Product telemetry
- Live cohort analysis
- Predictive churn detection
- Continuous feedback loops
Module 10: Product Marketing in Age of AI
- AI-Driven Market Segmentation & Targeting
- Personalized Campaigns at Scale
- Dynamic Pricing & Offer Optimization
- Content Creation & A/B Testing with AI
- Predictive Lead Scoring
- Attribution Modeling in Multi-Channel Marketing
- Measuring Marketing ROI for AI Products
Module 11: Intelligent Scaling and Renewal
- Expansion modeling with AI
- Globalization scaling strategies
- Sunset planning with data triggers
Module 12: Metrics to Monitor
- North Star Metrics (NSM) & OKRs for AI Products
- Customer-Centric Metrics (Engagement, Retention, NPS, CLV)
- Product Performance Metrics (Feature adoption, DAU/MAU, Stickiness)
- AI Model Performance Metrics (Precision, Recall, Bias & Fairness metrics)
- Revenue & Growth Metrics (ARR, CAC, Payback Period)
- Real-Time Monitoring & Alerting with AI
Module 13: Leading PM lifecycle
- Leading during Crisis
- Stakeholder Management
- Making Compelling Negotiations
- Program and Project Planning
By the End, You’ll Be Able to Do All This
While mastering 30+ Next-Gen Tools
Welcome to the AI Product Clinic
Where product teams stop imagining possibilities… and start building AI-powered experiences.
Solve Real Product Challenges
Use AI to accelerate market discovery, product concept generation, and user testing with live data.
Orchestrate the AI Product Stack
Master 30+ tools for generative design, predictive analytics, and AI-driven testing.
Go Beyond the Curriculum
Join live clinics on requirement gathering, digital twin prototyping, A/B testing, and churn modeling.
Ship Product Iterations Weekly
Build, test, and simulate new product features with real data.
Get Expert Feedback
Receive reviews from IIT Madras faculty, industry leaders, and Futurense mentors.
Break Stuff & Learn Fast
Test prototypes in AI-powered labs, learning through rapid iteration.
Career Assistance That Doesn’t Stop at Mock Interviews
From Day 1 to your next role, we guide you at every step.
Diagnostic Test & Evaluations
Start with a test and multiple evaluations to sharpen product thinking and AI skills.
Live Industry Sessions
2-3 monthly Chai Talks, AI workshops, and career discussions with industry leaders.
Exclusive 1:1 Mentorship
Offered for top performers meeting benchmarks, includes personal mentorship and mock interview.
Futurense Breakfast Club
Weekly alumni meetups with case discussions and hiring lead exchanges.
Real Projects at AI Clinic
Work on live RFPs and challenges to build a strong industry-relevant portfolio.
Resume That Gets Shortlisted
Workshops & expert reviews focused on creating resumes tailored for leadership roles.
Mock Interviews & Feedback*
Simulated interviews with actionable performance feedback.
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Built for People Like You?
Educational Qualification
Bachelor’s degree in Engineering, Design, Business, Computer Science, or a related field (Minimum 50%).
Work Experience
Individuals with less than 2 years of experience in product development, design, analytics, software engineering, or related functions
Freshers
Exceptional freshers with strong fundamentals may be considered via screening
Prior Knowledge
Basic familiarity with design tools, product management frameworks, or data analysis; curiosity about AI technologies like machine learning, generative AI, and predictive analytics
Selection Process
Short Product Readiness Assessment covering logic, problem-solving, and product thinking.
Ideal For
Early-Career Professionals
in design, engineering, analytics, or business roles who want to transition into AI-powered product management and innovation.
Software Engineers and Data Scientists
aiming to expand into product strategy and leadership.
Entrepreneurs and Startup Builders
creating AI-driven products from the ground up.
Business Analysts and Consultants
seeking to leverage AI for data-backed product decisions.
UI/UX Designers
looking to integrate AI-enhanced workflows into their design process.
Founder's Office Roles
Individuals currently working in Founder's Office Roles.
Qualifying Test
All applicants must clear a readiness qualifying test to qualify for the program. This qualifying test ensures each learner meets IIT Madras’s academic and technical standards.
What You’ll Be Tested On
Logical Reasoning
Basic coding (Python or Java)
Product Design &Management fundamentals
Scenario-based thinking
Important Guidelines
2-hour
Non-invasive online qualifying test with coding + MCQs
No prior experience in AI Powered Product Design and Management required.
Roles Thatʼll Be
Looking for You
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Your Path to Becoming an AI-First Product Leader
Submit Your Application
Complete the online application form with your academic and professional details.
Application Review and Eligibility Criteria Approval
Your profile is reviewed to ensure it meets the program’s educational and background requirements.
Appear for the Qualifying Test
Take a short test assessing product thinking, logical reasoning, and familiarity with basic design/analytics concepts.
Secure Your Seat
Confirm your enrolment with the application processing fee.
Receive Your Offer Letter
Get an official admission confirmation from IIT Madras Pravartak.
Begin the AI & Product Bridge Course
Access a fully sponsored foundation module that covers AI basics, product lifecycle fundamentals, and cross-functional collaboration essentials.
Start Your AI-Powered Product Design & Management Journey
Dive into live sessions, hands-on labs, and real-world case studies led by IIT Madras faculty and industry experts
Capstone & Showcase
Build an AI-infused product concept from scratch and present it to a panel of faculty and industry mentors.
Fee Structure
*An additional ₹10,000 will be applicable if you opt for the Campus Immersion (Optional).
*Deserving candidates opting for the upfront payment plan may be eligible for a scholarship of up to ₹10,000.
*The EMI amount varies depending on the chosen tenure.
Low-Cost EMI Options
3, 6 & 9 months available
NBFC Partners
Zero-cost EMI for eligible candidates
Payment Modes
UPI, Netbanking, Credit/Debit Cards
Your Mentors Are Shaping the Future of Marketing
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Ready to Redefine Product Innovation in the AI Era?
Whether you're stepping into product management or aiming for the next leadership role… if you're ready to launch and scale intelligent products that win in dynamic markets, this is your moment.
Frequesntly Asked Questions
What is the name of the certificate program, and which IIT offers it?
The program is called Pravartak Certificate in AI Powered Product Design and Management,offered by IIT Madras Pravartak Centre of Excellence (IITM Pravartak CoE).
What is the duration of the program, and when does the first cohort begin?
Type image caption here (optional) What are the eligibility criteria for this program, and who should ideally enroll?
Open to graduates and professionals aiming to build careers in AI-driven product management.
Ideal for:
- Early-career professionals
- Product management aspirants
- Current product managers
- Entrepreneurs
- Founders’ office members
- Product strategists
How can I apply to the Pravartak Certificate in AI Powered Product Design and Management?
When will the application process to the program start?
The application process for Pravartak Certificate in AI Powered Product Design and Management has already begun.
What is the program's fee, and what financing options are available?
- The program fee is ₹84,000 + 18% GST. Loan options are available with low cost EMIs
- In addition, an amount of ₹10,000 (tentative) towards Immersion Charges shall be paid separately by the candidate. This amount is not included in the above-mentioned fees.
Note: Deserving candidates may be eligible for a scholarship of up to ₹10,000.
Is there a selection process?
Yes. Admission to the program requires clearing a pre-screening exam and meeting the eligibility criteria
What are the documents to be submitted for application?
- Aadhar Card
- DOB (in correct format and as per Aadhar Card - DD/MM/YYYY)
- Resume
- Graduation Marksheet and Degree (cross-verified with scores entered in the application portal)
- 10th Marks (cross-verified)
- 12th Marks (cross-verified)
- Previous Experience Letter, Offer Letter, and Salary Slip
- NOC (mandatory for M.Tech applicants; self-declaration required for PGD applicants)
Will there be any pre-screen exams for enrolling in the Program?
Yes, there will be a pre screening exam
Should I have experience in coding to qualify the pre-screening exam?
No. Programming knowledge is not mandatory, thought having programming knowledge is beneficial. Futurense provides a Bridge Course covering Python basics, prompt engineering, and AI tool usage to help bridge the gap before the actual course commencement
How is the teaching format structured for this hybrid program?
- Live online sessions
- 3-day on-campus immersion at IIT Madras at the end of the program
What if I can t take 3-day of leave at a stretch from my office for the Campus Immersion?
The campus immersion is only 3 days at the end of the program, allowing advance planning.
Will there be any additional cost for attending the optional 3-day CEC IIT Madras campus immersion?
Yes. ₹10,000 per candidate per immersion.
Will hostel accommodation be provided for outstation candidates from different states during immersion?
Yes, accommodation will be arranged (subject to availability)
What are some practical projects or hands-on learning outcomes included in the course?
Projects include:
- AI-based product concept design
- Prototype creation with AI tools
- User journey mapping with AI personalization
- Building an AI-powered MVP
What are the key modules in the program, starting from traditional AI to building multi-agent systems?
Key modules include:
- Foundations of AI in product management
- AI-driven UX & design thinking
- Product lifecycle and roadmap building
- Generative AI applications in product design
- Multi-agent AI workflows
- Go-to-market strategies
What is the significance of teaching multi-agent systems and agent collaboration in the program?
- AI-based product concept design
- Prototype creation with AI tools
- User journey mapping with AI personalization
- Building an AI-powered MVP
Who is the program director, and why is their expertise significant?
How do industry leaders and the Futurense Leadership Council (FLC) contribute to the program?
Industry experts from Google, Microsoft, Infosys, Lenskart, AmEx, and more teach live sessions.
The Futurense Leadership Council offers:
- Masterclasses
- Mentorship
- Real-world MarTech case walkthroughs
50% of sessions are taught by industry faculty, ensuring applied learning
What areas of AI does this program cover, and how does it integrate traditional AI, generative AI, and agentic AI?
The program covers:
- Traditional AI: ML models for product insights & decision-making
- Generative AI: Content creation, UX personalization, automated design prototyping
- Agentic AI: Autonomous workflows, intelligent product systems
What tools and platforms are covered in this program?
- ChatGPT, Claude, Gemini, Midjourney
- Figma, Miro, Jira
- Python-based AI libraries
- Product analytics tools
Why is agentic AI called the next big thing in AI technology?
It enables autonomous product features, decision-making, and adaptive workflows without constant human intervention — key for scalable AI-powered products.
What makes this certificate program particularly suitable for engineers and tech professionals?
Combines product thinking with AI technology integration, enabling engineers to transition into product thinking AI technology integration,product leadership roles.
How does the program enable participants to specialize in their specific engineering domains?
By allowing customization of AI product applications for domains like fintech, edtech, e-commerce, and SaaS.
What is the difference between traditional AI, generative AI, and agentic AI?
- Traditional AI: Rule-based ML systems for predictions
- Generative AI: AI that creates new content/designs
- Agentic AI: AI agents that act autonomously and learn from feedback
How are agentic AI systems used across industries like healthcare, manufacturing, and telecom?
- Healthcare: AI-driven patient assistants
- Manufacturing: Autonomous supply chain optimization
- Telecom: AI agents for customer service and network management
What job roles can participants expect to pursue after completing this program?
- AI Product Manager
- Product Designer (AI-focused)
- Product Strategy Analyst
- Innovation Manager – AI Solutions
- GenAI Product Specialist
- Business Analyst – AI Integration
- UX Strategist with AI Expertise
How does having skills in generative AI and agentic AI impact salary and job prospects?
Professionals with these skills can command higher salaries(30–50% hike) and access leadership higher salaries roles in AI-driven product teams.
How does this program align with the rapid adoption of generative AI by companies like Infosys, TCS, and startups?
By training professionals to integrate generative and agentic AI directly into product features, strategy, and user experience.
Why will this certification future-proof their careers in a rapidly evolving market?
It equips professionals with end-to-end AI product management skills — from concept to launch — end-to-end AI product management skills ensuring adaptability as AI tech evolves.
What is the projected market value of generative AI by 2032, and what percentage of enterprises are prioritizing its adoption?
- Projected market value: $1.3 trillion by 2032
- 74% of enterprises are prioritizing GenAI adoption (Gartner, 2024)
Source: Figures based on projections from Bloomberg Intelligence and enterprise adoption data from Gartner (2025).
How does India rank in terms of startups and initiatives focusing on generative AI and agentic AI?
India is among the top global hubs for AI startups, with significant growth in GenAI funding.
What trends in tier 2 cities in India (e.g., Coimbatore, Jaipur) highlight the growth of AI related job roles?
Tier-2 cities are experiencing a 35%+ hiring surge as companies set up AI and GenAI labs in these 35%+ hiring surge regions.
What is the Payment Schedule and Process?
- Full fee payment of ₹84 thousand + GST must be completed within 5 days of receiving the offer letter
- A non-refundable application deposit of ₹5,000 is required at the time of submission (adjusted in final fee)
- Loan options are also available
Can I self-fund this program?
Yes. If you or your family are funding the program, you can choose to self-fund either partially or in full.
Does Futurense help with loans?
Yes. Futurense has partnered with various financial institutes to offer financial assistance
What is the interest rate on the loans?
Interest rates vary depending on the repayment plan and financial partner. Rates are described as reasonable and competitive considering the recent rise in unsecured loan rates in India.
What are the documents I should keep handy?
Student's Documents:
- PAN
- Aadhar
- Last 3 months’ bank statements
Income Documents
- Last 3 months’ payslips
