This programme aims to enable professionals to adopt an end-to-end framework for product design and management specifically designed for the age of AI, and build cutting edge expertise in AI driven product design, innovation, and management. The objective is to enable participants to learn the process of developing successful products from conception to market delivery, using various AI and Ai enabled approaches, tools and platforms.
Online
28 Weeks
Weekend live online sessions (Saturday and Sunday)
IITM Pravartak Technologies Foundation
Technology Innovation Hub (TIH) of IIT Madras
and
Futurense
INR 1,25,000 + 18% GST
Bachelor's Degree in engineering, management, business or a related discipline. At least 1 year of experience is preferred; however exceptionally qualified freshers can also apply.
Basic familiarity with product management frameworks or experience with working on any phase of a product launch is an advantage. Curiosity about AI, Generative AI and AI Agents will be helpful.
Basic understanding of technology, business, marketing or product design domains. No programming experience required.
140 + Hours
Core Program Faculty and Industry Experts
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
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
Understanding Market Discovery
Foresight thinking
AI-driven market trend prediction
Competitive intelligence with AI
Voice of Customer mining (social listening, review mining)
Live requirement discovery
Continuous prioritization
Customer interviews augmented by AI
Dynamic PRD frameworks
Design Thinking for AI Products
Human-Centered Design Principles
AI-Driven UX Research
Ethical and Inclusive Design
Design Validation and Usability Testing
Prompt-based UI/UX generation
Digital twin simulation
Instant prototyping from text
AI in coding (pair programming)
AI-generated testing
DevOps and CI/CD AI integration
Dynamic segmentation
Personalization at scale
Pricing optimization with AI
AI in content and messaging
Product telemetry
Live cohort analysis
Predictive churn detection
Continuous feedback loops
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
Expansion modeling with AI
Globalization scaling strategies
Sunset planning with data triggers
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
Leading during Crisis
Stakeholder Management
Making Compelling Negotiations
Program and Project Planning