What You'll Learn
- Learn how to identify high-value AI problems worth solving in real business environments
- Develop strong product thinking skills for AI products, workflows, and intelligent systems
- Evaluate when AI should — and should not — be used for a problem or workflow
- Break complex business challenges into AI-ready components and decision flows
- Analyze risk, ethics, trust, explainability, and failure modes in AI systems
- Validate AI opportunities using prototypes, experiments, and MVPs before building models
- Design smarter Generative AI and Agentic AI workflows with appropriate guardrails and autonomy levels
- Learn to frame AI initiatives for executives, boards, and cross-functional stakeholders
- Build practical frameworks for go/no-go decisions, risk reviews, and AI governance
- Create a reusable AI Product Problem-Framing Playbook for future leadership and product decisions
Requirements
- No prior knowledge required
- A computer with internet access
- Eagerness to learn
Who This Course is For
- Product Managers and Product Owners who want to lead successful AI initiatives with stronger decision-making and problem-framing skills
- Business Leaders and Executives looking to evaluate AI opportunities strategically instead of following hype
- AI Product Leaders who want to reduce costly AI mistakes, failed pilots, and weak automation projects
- Founders and Startup Teams building AI-powered products, copilots, or agentic systems
- Consultants and Digital Transformation Professionals helping organizations adopt AI responsibly and effectively
- Engineers and Technical Professionals who want to improve their business thinking and product judgment around AI
- Innovation Teams exploring Generative AI, LLMs, automation, and AI agents in enterprise environments
- Operations and Workflow Leaders seeking practical ways to improve productivity and decision-making using AI
- Professionals working in regulated industries such as healthcare, finance, insurance, and government
- Anyone who wants to learn how to identify valuable AI opportunities, frame problems correctly, and lead AI projects with confidence
Your Instructor
Experienced Instructor
Professional Educator
An experienced instructor with expertise in this field and a passion for teaching.
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