[100% Off] Ai For Product Management Bootcamp

Use the AI Canvas for applications from Health Tech to retail and fintech

Added on October 16, 2025 Business 3 min read

What you’ll learn

• Learn how to use the AI Product Canvas
• Apply AI Product Canvas to predictive an generative AI
• Explore 25+ real-world AI use cases across industries—from chatbots and fraud detection to medical triage and AI-generated onboarding flows.
• Identify AI opportunities using both predictive and generative AI tools across real-world product use cases.
• Frame predictive and generative AI into product management opportunities
• Define data strategy essentials
• including sourcing
• labeling
• privacy
• and quality management
• using industry-ready templates and checklists.
• Learn from cutting-edge examples including facial recognition bias
• predictive maintenance for IoT
• knowledge base automation
• and regulatory pitfalls in health
• Discover exotic and emerging AI applications
• such as AI for scent profiling
• synthetic patient generation
• and robotic fashion advisors
• to inspire innovation
• Evaluate and prioritize AI features based on user needs
• business impact
• and technical feasibility.
• Write AI-ready Product Requirement Documents (PRDs) that specify data
• model
• evaluation metrics
• and ethical considerations.
• Understand regulatory and privacy challenges (GDPR
• HIPAA) and how to design compliant AI systems from the ground up.

Requirements

• No previous experience needed

Description

Are you a product manager, strategist, designer, or tech leader looking to harness the power of AI—but unsure where to start? This bootcamp is your comprehensive guide to understanding, planning, and delivering AI-powered products.

We cover both predictive AI, like lead scoring, fraud detection, and feature adoption forecasting, and generative AI, including content drafting, onboarding chatbots, and personalized learning material creation. Each use case is broken down with clear steps, making it easy to understand where AI fits and how to bring it to life. You’ll learn how to frame problems effectively, assess feasibility, and align AI output with user and business goals.

We dive deep into 30+ AI product examples, helping you recognize what problems are AI-solvable, how to think critically about data, model types, risks, and how to deliver value across domains. You’ll walk through the real decisions behind designing these systems—who benefits, what data you need, what failure looks like, and how success is measured.

You’ll also gain hands-on, practical tools that can immediately enhance your product workflows. You’ll get a Data Strategy Checklist—a structured framework that helps align stakeholders on data sources, labeling needs, quality requirements, risks, and privacy constraints. This checklist supports collaborative planning and de-risks your AI initiatives from the start. You’ll also receive an AI-Ready PRD Template, which helps product teams clearly define the problem, data strategy, model expectations, and success criteria in one aligned document. These are built for immediate use in sprints, product reviews, or innovation workshops.

Whether you’re new to AI or want to deepen your PM skills, this course will equip you to go beyond buzzwords and build clever, usable, and strategic AI products, both for today’s markets and tomorrow’s possibilities.