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AI+ Product Manager Fundamentals™
Developing products with AI means: making smarter decisions, iterating faster, and using data purposefully for better outcomes. This course equips product managers with the tools to apply AI methods confidently – from strategy to roadmap.
Key topics
- AI-powered decision-making in the product context
- Data-driven prioritisation of features and initiatives
- Flexible product architectures for AI applications
- Responsible use of AI and ethics
- Reading market signals and assessing trends
- Advancing product visions with machine learning
Prerequisite
Knowledge of digital products and processes is helpful. Technical expertise is not required – an interest in AI-supported working methods is sufficient.
Target group
Teams from product development, innovation, digitalisation, or AI strategy who want to integrate AI concretely into their product work.
Those who take on product responsibility after this course make decisions grounded in data – and use AI as a reliable tool for sustainable product success.
course content
AI fundamentals for product managers
- Key terms and core concepts of artificial intelligence at a glance.
- Why AI is becoming indispensable for modern product management.
Machine learning – core principles and application
- How machine learning works and where it is applied in product environments.
- Data preparation and quality as the foundation of high-performing ML models.
Developing AI products – from idea to launch
- How AI tools can support ideation and concept development.
- Prototyping and testing: methods for building and validating AI-driven products effectively.
Ethics, fairness, and responsibility in AI products
- The ethical implications of AI products and the responsibility product managers carry.
- Strategies for identifying and reducing bias in AI algorithms and products.
Integrating AI into existing products – strategies and stakeholders
- Approaches for seamlessly integrating AI features into existing products and systems.
- Communicating AI initiatives to stakeholders and building acceptance.
Measuring product success – KPIs and evaluation methods for AI
- Identifying relevant performance metrics for measuring the success of AI-driven products.
- Methods for evaluating AI model and product performance in practice.
Regulatory requirements and compliance for AI products
- Overview of current regulations, laws, and frameworks applying to AI products.
- Developing compliance strategies to reliably meet regulatory requirements.
Keeping up with AI trends – strategic planning for the future
- Upcoming technologies and developments that will durably shape product management and AI.
- Anticipating future changes in the AI landscape and deriving product innovations from them.
Optional module – AI agents in a product management context
- How AI agents work and the role they play in modern product management.
- Practical examples and case studies of AI agent deployment in product teams.
- Hands-on experience: exercises with AI agents in the product environment.
Up to 100% funding for your continuing education
Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.
Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.
