Product Management AI

Course overview

Product Management AI 1. Introduction to Product Management with AI: Definition and fundamentals of product management with AI, Overview of AI technologies and their applications, The role of the product manager in AI projects 2. Data Analysis and Management for AI-Driven Products: Methods for data collection and processing, Techniques for analyzing large datasets, Data protection and ethical considerations 3. Integration of AI into the Product Development Process: Phases of product development with AI integration, Collaboration between product management and data science, Iterative approaches to product development 4. Case Studies: Successful AI Products: Analysis of companies that have successfully implemented AI, Best practices and lessons learned, Keys to success in AI product development 5. Measurement and Optimization of AI Products: KPIs for evaluating AI-driven products, Methods for continuous improvement of AI features, Implementing feedback loops with users 6. Future of Product Management with AI: Trends and developments in the field of AI, Strategic planning for future AI initiatives, Preparing for changes in the industry 7. Practical Project: Development of an AI-Driven Product: Creation of a prototype for an AI-driven product, Presentation of results and feedback sessions, Integration of stakeholders and users 8. Reflection and Transfer of Learning Content: Discussion on implementation in one's own organization, Identification of challenges and solutions, Personal development plans for future projects

Upcoming dates

• 2026-09-17T22:00:00.000Z · 2027-05-06T22:00:00.000Z · Virtuelles Klassenzimmer
• 2026-09-17T22:00:00.000Z · 2027-11-25T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-09-17T22:00:00.000Z · 2027-05-06T22:00:00.000Z · München · Combined Learning
• 2026-09-17T22:00:00.000Z · 2027-11-25T23:00:00.000Z · München · Combined Learning
• 2026-10-27T23:00:00.000Z · 2027-06-15T22:00:00.000Z · Virtuelles Klassenzimmer