Free Udemy Course __
AI for Product Management Bootcamp
Use the AI Canvas for applications from Health Tech to retail and fintech
4.5 (897 students students enrolled) English
professionalBusiness
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
Who This Course is For
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