AI-Powered Product Management

AI can move fast—but without structure, it creates noise. This 2-day live programme brings Product Managers, BAs, and aspiring product professionals into a practical setting where AI is used for what matters most in product work: evidence-based trade-offs and decision-making under real stakeholder pressure.

The curriculum is built around a workflow-first, evidence-first operating system rather than a catalogue of tools. Each module is anchored to a concrete product deliverable, with templates, checklists, and a prioritisation rubric that keep reasoning consistent and defensible. Across 16 focused hours and group Q&A, participants develop a realistic capstone and a portfolio-ready decision package—assessed against a clear Pass/Fail competency standard—without the long, fragmented learning path.

language
English

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Trainer Profile

Outcomes & Deliverables

Our programme equips you with:

  • A repeatable AI Product management workflow to make defensible prioritization decisions
  • An AI-supported trade-off rubric to explain why X is prioritised and Y is deferred—clearly, consistently, and defensibly
  • Stronger stakeholder narratives that reduce rework and disagreement

You’ll also receive:

  • AI-powered Decision Workflow Template Pack (prompts, checklists, quality checks)
  • Trade-off Rubric +Scorecard (criteria, scoring method, justification notes)
  • Capstone Brief + Benchmark Examples

Curriculum-at-a-Glance

  1. Prompting for Product Thinking
    Build core AI and prompting fundamentals for structured problem framing and consistent outputs.

     

  2. Stakeholder Alignment & AI Trade-offs
    Use AI to turn scattered inputs into defensible trade-off decisions—align stakeholders with a clear decision narrative, handle objections, and explain “why this now / why not that” with evidence.

  3. Product Planning, Scope & Estimation
    Accelerate planning with AI while keeping assumptions, scope, and estimates defensible.

  4. Risk, Evidence and Problem-Solving
    Use AI-supported structured thinking to turn messy signals into decision-grade evidence, surface assumptions and risks early, and shape mitigation options—so recommendations hold up under constraints and challenge.

  5. Agile & Sprint Management
    Leverage AI to improve sprint execution through backlog structuring, sprint planning and prioritization discipline.

  6. Resourcing & Vendor Management for Delivery
    Support resourcing and vendor coordination with AI-assisted evaluation frameworks, trade-off analysis, documentation, and communication—while preserving decision clarity.

  7. Advanced PM Workflows
    Build advanced AI workflows including reusable templates, system prompts, quality checks, and repeatable operating routines that scale across projects and teams.

  8. Responsible AI for Project Managers
    Adopt AI responsibly with governance, risk controls, and practical usage guidelines.

Course Fees and DURATION

Course Schedule (Live Online)
2 full days · 9:00 AM – 6:00 PM (SGT)

Programme Fee
SGD 1,180

Entry Requirement

Register for the cohort
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