Artificial Intelligence in Product Management: Practical Application of Machine Learning

Course overview

Artificial Intelligence in Product Management: Practical Application of Machine Learning 1. Introduction to Artificial Intelligence and Machine Learning - Fundamentals of Artificial Intelligence - Introduction to Machine Learning - Overview of Neural Networks - Tech Stack for AI Applications 2. Natural Language Processing (NLP) in Product Management - Basics and Applications of NLP - Text Analysis and Processing - Integration of NLP Tools into Products 3. Data Analysis and Visualization - Methods of Data Analysis - Creation of Data Flow Diagrams - Visualization of Data for Product Management 4. AI Tool Integration and Tracking - Tools for Integrating AI into Existing Systems - Tracking Tools and Their Importance in Product Management - A/B Testing as a Method for Validation 5. Technological Innovation and Product Optimization - Innovation Processes in AI Development - Use of Machine Learning for Product Optimization - Evaluation of Technologies in the Product Lifecycle 6. Final Project: Implementation of AI in Product Management - Project Work to Apply Learned Concepts - Presentation of Results Before an Examination Committee - Reflection on the BENEFITS of AI in Product Management

Upcoming dates

• 2026-07-26T22:00:00.000Z · 2027-07-26T22:00:00.000Z · München · Combined Learning
• 2026-08-02T22:00:00.000Z · 2027-02-01T23:00:00.000Z · Leipzig · Combined Learning
• 2026-08-03T22:00:00.000Z · 2027-02-02T23:00:00.000Z · Köln · Combined Learning
• 2026-08-04T22:00:00.000Z · 2027-08-04T22:00:00.000Z · Köln · Combined Learning
• 2026-08-12T22:00:00.000Z · 2027-02-11T23:00:00.000Z · München · Combined Learning