AI for Product Managers: Strategy, Integration, and Governance

Description

This one-day advanced course equips experienced product managers with the knowledge and frameworks to evaluate, integrate, and govern AI capabilities across the product lifecycle. Participants progress from AI and machine learning foundations through product development lifecycle application, ethics and bias mitigation, implementation strategies, metrics and performance evaluation, regulation and compliance, to strategic AI planning — culminating in a capstone that synthesizes a strategic AI product plan. The course aligns to the AI+ Product Manager certification (AI CERTs), preparing participants for the certification exam. Each session includes instruction, discussion-based activities with real-world product scenarios, and formative assessment. An optional session on AI Agents for Product Management extends coverage to emerging agentic AI capabilities.

Who This Course Is For

• Product Owners seeking to integrate AI into product strategy and roadmap decisions
• Product Designers evaluating AI-driven features and user experiences
• Business Managers responsible for AI investment and go/no-go decisions
• IT Professionals transitioning to product-focused AI roles
• Product managers targeting the AI+ Product Manager certification credential

Prerequisites

• 3+ years of product management, product ownership, or related business role experience
• Working knowledge of Agile and Scrum practices from the product side
• Familiarity with product lifecycle concepts (ideation, prototyping, launch, iteration)
• Basic understanding of business strategy and stakeholder management
• No programming or data science experience required — the course is conceptual and strategic, not technical implementation

Delivery Options

• Live, instructor-led
• Virtual instructor-led