Contents
Basics of artificial intelligence
- Understanding AI in product management, how it works and types of AI.
- What AI can and cannot do - potentials and limits of AI use.
- Data management as a basic requirement.
AI strategy in product management
- Goals and vision: What do we want to and can we achieve in the long term?
- Integration of AI into the product strategy.
- Current trends and developments in the field of AI.
Methods for the practical use of AI in product management
- Derivation of use cases using the AI canvas.
- Integration of AI in various phases of the product life cycle.
- Opportunities to increase efficiency and value through AI, e.g. LLMs.
Changes in the working world of the product manager
- New requirements and skills, change management in the team.
- Risks of using AI, dealing with fears and resistance.
- Adaptation of structures and processes.
Measurable success through the use of artificial intelligence
- KPIs for measuring the performance of AI in product management.
- Business case: Calculation of the long-term economic success of AI projects.
Important note: Please bring a WLAN-capable notebook / tablet with you.
Learning environment
Once you have registered, you will find useful information, downloads and extra services relating to this training course in your online learning environment.
Your benefit
- You will gain an in-depth understanding of the use of AI in product management.
- Together we develop AI model strategies for product management.
- You can integrate AI technologies into all phases of the product life cycle to increase efficiency and value.
- You will develop inspiring perspectives on how AI will influence our everyday working lives.
- You will receive tools and methods to implement AI in your daily work practice - step by step to a successful AI introduction.
- They know methods for calculating the costs and benefits of using AI.
Methods
Keynote speeches with many case studies, best practice, discussions and cross-industry exchange of experience, implementation workshops, practical exercises.
Recommended for
Specialists and managers in product management, product owners, product development, business development, marketing and sales. There are no professional entry requirements - an interest in the use of artificial intelligence is sufficient.
Further recommendations for "AI strategy for product management - from conception to implementation"
Seminar evaluation for "AI strategy for product management - from conception to implementation"







36452
Start dates and details
Thursday, 03.07.2025
09:00 am - 5:00 pm
Friday, 04.07.2025
09:00 am - 5:00 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.

Tuesday, 29.07.2025
09:00 am - 5:00 pm
Wednesday, 30.07.2025
09:00 am - 5:00 pm
Thursday, 20.11.2025
09:00 am - 5:00 pm
Friday, 21.11.2025
09:00 am - 5:00 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.

Thursday, 05.02.2026
09:00 am - 5:00 pm
Friday, 06.02.2026
09:00 am - 5:00 pm
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.