### Course Overview
- **Course Title:** **AI Product Manager Explorer Certificate**
- **Instructor:** **School of AI (AI Academy)**
- **Target Audience:**
- **Product managers** transitioning into AI-driven roles
- **Startup founders** integrating AI into product strategy
- **UX designers** collaborating on AI-powered features
- **Business analysts** evaluating AI use cases
- **Non-technical professionals** leading AI initiatives
- **Prerequisites:**
- No coding or technical background required
- No prior AI/machine learning knowledge needed
- Optional: Familiarity with **product roadmaps**, **user journeys**, and **metrics**
### Curriculum Highlights
- **Key Topics Covered:**
- **AI fundamentals** and workflows for non-technical collaboration
- **AI use case identification** (business goals, user needs, data feasibility)
- **Success metrics for AI features** (precision, recall, KPIs, ethics)
- **AI product roadmap** creation (experimentation, uncertainty, milestones)
- **Stakeholder communication** (non-technical AI strategy alignment)
- **Agile AI sprints** and cross-functional team management
- **Ethical AI considerations** and risk mitigation
- **Key Skills Learned:**
- Frame **AI product strategy** without coding
- Evaluate **AI feasibility** for business applications
- Design **AI-powered features** with user-centric metrics
- Present **AI roadmaps** to executives and technical teams
- Manage **AI project uncertainty** and iterative development
### Course Format
- **Duration:** **3 hours** on-demand video
- **Format:** Self-paced **online course** (mobile/TV access)
- **Resources:**
- **Certificate of completion**
- Interactive **peer reviews** and **quizzes**
- Hands-on **product framing exercises**
- Real-world **AI use case studies**
### Additional Information
- **Instructor Credentials:**
- **4.4/5 rating** (10,069 reviews)
- **356,992+ students** enrolled across 91 courses
- Specialization: **Non-technical AI education** for product leaders
- **Certification:** **AI Product Manager Explorer Certificate** (industry-recognized)
- **Focus Areas:**
- **Non-technical AI leadership**
- **Cross-functional AI collaboration**
- **AI product lifecycle management**
