Role-Based Programme
RB1211

AI for Product Management

Advanced Product Discovery, Roadmapping & AI-Driven Product Growth

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across product discovery, requirements, prioritisation, roadmapping, delivery coordination, launch, and product optimisation.
  • Use AI-assisted research and analysis to understand customer problems, market opportunities, competitor activity, user behaviour, and product performance.
  • Apply AI to develop product requirements, user stories, acceptance criteria, prioritisation models, roadmaps, experiments, and stakeholder communication.
  • Use AI-assisted analytics to improve product adoption, engagement, retention, customer value, and evidence-based product decisions.
  • Build responsible AI-enabled Product Management workflows with strong validation, governance, customer privacy, and human oversight.

Tools covered

Generative AI AssistantsAI Search & Deep ResearchCustomer ResearchProduct DiscoveryRequirements AnalysisProduct AnalyticsPrioritisation FrameworksRoadmap PlanningUser Story DevelopmentExperimentation SupportCompetitive IntelligenceProduct Performance AnalysisWorkflow AutomationAI AgentsDecision-Support Tools

Who should attend

  • Product Managers
  • Senior Product Managers
  • Associate Product Managers
  • Digital Product Managers
  • Technical Product Managers
  • Platform Product Managers
  • Service Product Managers
  • Product Owners
  • Product Operations Professionals
  • Product Analysts
  • Growth Product Managers
  • Innovation Professionals
  • Business Analysts Supporting Product Teams
  • Product Leads
  • Leaders Responsible for Product Delivery & Growth

Prerequisites & Participant Readiness

  • Experience in product management, product ownership, product analysis, service management, or digital product development
  • Familiarity with customer discovery, requirements, prioritisation, roadmaps, releases, and product metrics
  • Basic awareness of Generative AI and common business applications
  • Comfort working with customer, product, market, and performance information
  • No programming knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, reasoning models, multimodal AI, automation, and AI agents
  • Exploring AI applications across product discovery, planning, delivery, launch, and optimisation
  • Distinguishing AI-assisted Product Management from automated product decision-making
  • Understanding hallucinations, weak evidence, privacy, and human accountability
Practical activities
  • Mapping AI opportunities across the Product Management lifecycle
  • Identifying activities suitable for augmentation, automation, or continued human ownership
  • Creating an AI opportunity map for product teams

Scenarios

Customer Problem to Product Release Plan

Customer Research → Problem Definition → Opportunity Assessment → Requirements → User Stories → Prioritisation → Roadmap → Release Plan

Participants use AI to transform customer evidence into a structured product opportunity, develop requirements and backlog items, prioritise initiatives, and create an executable release roadmap.

Low Product Adoption to Product Improvement Strategy

Usage Data → Customer Feedback → Adoption Funnel → Pain Points → Product Gaps → Experiment Design → Prioritisation → Roadmap Update → Success Metrics

Participants use AI to diagnose low product adoption, combine customer and behavioural evidence, identify improvement opportunities, prioritise interventions, and create a measurable product optimisation plan.

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