This module establishes the foundational knowledge for AI-driven product management, covering the evolving PM lifecycle in the age of AI, core AI and generative AI concepts for product managers, agentic AI collaboration, prompt engineering, and the technology stacks that underpin modern product ecosystems.

This module explores how AI transforms the customer lifecycle and product experience, covering AI-driven acquisition, engagement, retention and churn prediction, hyper-personalization, behavioral analytics, self-learning product design, voice of the customer analysis, and product-market fit discovery using AI.

This module equips product managers with AI-powered tools and frameworks for market intelligence, covering foresight thinking, AI-driven trend prediction, competitive intelligence, and voice of customer mining through social listening and review analysis.

This module focuses on dynamic and AI-augmented approaches to requirements gathering and prioritization, covering live requirement discovery, continuous prioritization, AI-enhanced customer interviews, and adaptive PRD frameworks for fast-evolving product environments.

This module covers human-centered and AI-informed product design principles, including design thinking for AI products, UX research driven by AI, ethical and inclusive design practices, and design validation through usability testing.

This module introduces generative AI techniques for rapid product design and prototyping, covering prompt-based UI/UX generation, digital twin simulation, and instant prototyping directly from text inputs to accelerate the design-to-prototype cycle.

This module explores how AI accelerates and enhances agile development workflows, covering AI-assisted coding and pair programming, AI-generated testing, and the integration of AI into DevOps and CI/CD pipelines for faster, more reliable product delivery.

This module focuses on AI-powered go-to-market strategy and product launch execution, covering dynamic customer segmentation, personalization at scale, AI-driven pricing optimization, and intelligent content and messaging for targeted market entry.

This module covers post-launch product monitoring and growth strategies using real-time AI intelligence, including product telemetry, live cohort analysis, predictive churn detection, and continuous feedback loops to sustain and grow product performance.

This module examines how AI reshapes product marketing, covering AI-driven segmentation and targeting, personalized campaign execution at scale, dynamic pricing and offer optimization, AI-assisted content creation and A/B testing, predictive lead scoring, multi-channel attribution modeling, and ROI measurement for AI products.

This module addresses long-term product growth and lifecycle management using AI, covering expansion modeling, globalization scaling strategies, and data-triggered sunset planning to ensure products evolve and retire intelligently.

This module equips product managers with a comprehensive framework for measuring AI product performance, covering North Star Metrics and OKRs, customer-centric metrics such as engagement, retention, NPS and CLV, product performance indicators, AI model performance metrics including precision, recall and fairness, revenue and growth metrics, and real-time monitoring with AI alerting.

This module develops the leadership and strategic competencies required of senior product managers, covering crisis leadership, stakeholder management, compelling negotiation techniques, and effective program and project planning across the full product lifecycle.