What You'll Learn
- Define and manage AI products across the full lifecycle, from problem discovery to launch and continuous improvement
- Identify AI-ready problems using problem-first thinking, feasibility checks, and business impact evaluation
- Translate business goals into AI requirements and collaborate effectively with data science and engineering teams
- Design human-centered, trustworthy AI experiences with transparency, oversight, and ethical safeguards
- Measure AI product success using both business metrics and model performance indicators
- Monitor AI systems in production, detect drift, and drive continuous improvement through feedback loops
- Navigate ethics, governance, privacy, and regulatory requirements for real-world AI products
- Build strategic leadership skills to communicate AI decisions clearly to executives and stakeholders
Requirements
- No prior knowledge required
- A computer with internet access
- Eagerness to learn
Who This Course is For
- Product managers and product owners looking to transition into AI-driven products
- Aspiring AI Product Managers seeking practical, real-world skills beyond theory
- Founders and startup leaders building AI-powered products or features
- Engineers and data professionals moving into product or decision-making roles
- Business leaders responsible for AI initiatives and product strategy
- UX, design, and research professionals working on AI-enabled user experiences
Your Instructor
Experienced Instructor
Professional Educator
An experienced instructor with expertise in this field and a passion for teaching.
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