Ai For Product Management Bootcamp

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

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

For a very short time, while we finish uploading all the modules, this course is free. 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.You’ll learn to use the AI Canvas to design high-impact, ethical, and user-centered AI applications, whether they’re grounded in familiar industries like health tech, edtech, fintech, mobility, customer support, B2B SaaS, productivity, retail and productivity, or explore exotic AI use cases such as memory support for ADHD, or emotion-sensitive design assistants.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.

Overview

Section 1: Foundations - AI for Product Managers

Lecture 1 Why AI Changes Product Management

Lecture 2 The AI/ML Lifecycle in Plain English — with Generative AI Examples

Lecture 3 AI Industry trends& Job Expectations- Generative AI, Agents, No-Code Prototyping

Section 2: AI Problem framing and the AI Canvas

Lecture 4 AI Problem framing: From User Need to AI Prediction Problem

Lecture 5 Problem-AI Fit Assessment (When Not to Use AI)

Lecture 6 AI Product Canvas Walkthrough

Lecture 7 Churn Prediction in AI Product Canvas (Case Study)

Section 3: AI canvas applied to Prediction problems - From Lead scoring to Feature Adoption

Lecture 8 Lead Scoring with AI Product Canvas

Lecture 9 Inventory Demand Forecasting with AI Product Canvas

Lecture 10 Feature Adoption Prediction with AI Canvas

Product Managers who want to design and lead AI-powered products with confidence and clarity.,Tech Leads and CTOs who want to frame generative use cases and de-risk AI development with smarter planning.,Founders seeking to translate customer problems into AI opportunities with strong business value.,UX Designers working on AI features who need to understand model behavior, data flows, and ethical risks.,AI/ML Engineers aiming to better align their work with real-world user needs and product goals.,Consultants advising on AI implementation and innovation strategies across industries.,Data Analysts contributing to AI projects who want to connect data strategy with product impact.,Professionals exploring AI who want a practical, structured introduction to building AI-powered products.,Product and project managers working in tech, SaaS, or digital transformation initiatives involving AI,Business leaders and strategists looking to integrate generative AI into their product or service lines.,Teams working on innovation, R&D, or digital transformation who need a shared language for AI development.,Aspiring AI practitioners from any background (design, data, dev, management) who want to connect AI concepts with real-world product work.,University and graduate students studying AI, data science, business, or HCI who want real-world product examples.,Professors and educators looking for frameworks and use cases to teach AI product development and strategy.,Startup founders and innovation consultants who need practical examples to shape AI offerings for clients or ventures