Course Overview
- Course Title: AI for Product Management Bootcamp
- Instructor: Prof. Dr. Ana-Maria Olteteanu (AI Scientist, AI Innovator)
- Target Audience:
- Product managers, strategists, designers, and tech leaders
- Beginners and professionals looking to integrate AI into product workflows
- Individuals interested in predictive AI and generative AI applications
- Prerequisites: None
Curriculum Highlights
- Key Topics Covered:
- AI Product Canvas framework for designing AI-powered products
- 25+ real-world AI use cases (chatbots, fraud detection, medical triage, AI-generated onboarding flows)
- Predictive AI (lead scoring, feature adoption forecasting, IoT predictive maintenance)
- Generative AI (content drafting, onboarding chatbots, personalized learning materials)
- Data strategy essentials (sourcing, labeling, privacy, quality management)
- Regulatory and privacy challenges (GDPR, HIPAA compliance)
- Emerging AI applications (scent profiling, synthetic patient generation, robotic fashion advisors)
- AI-ready Product Requirement Documents (PRDs) with ethical considerations
- Key Skills Learned:
- Identify and prioritize AI opportunities in product development
- Frame predictive and generative AI into actionable product strategies
- Evaluate AI features based on user needs, business impact, and technical feasibility
- Design compliant AI systems with regulatory and privacy constraints
- Draft AI-specific PRDs with data, model, and evaluation metrics
- Apply Data Strategy Checklists for collaborative AI planning
Course Format
- Duration: 2.5 hours of on-demand video
- Format: Self-paced online course (lifetime access)
- Resources:
- Downloadable templates (AI Product Canvas, Data Strategy Checklist, AI-Ready PRD Template)
- Certificate of completion
- Mobile and TV access