AI Prototype

Course overview

An AI prototype is an early, functional implementation of an AI-supported application, where the concept and benefits can be verified. From defining a use case to the first operational version, individual steps are followed sequentially. !Course Content !1. Definition of an AI Use Case *Selection of a specific task for AI deployment *Description of the desired outcome *Narrowing down the scope for an AI prototype !2. Development of a First Operational Version *Implementation of a functional design *Connection of required data and tools *Building in manageable steps !3. Testing and Evaluation of the Prototype *Testing based on the chosen use case *Evaluation of the results achieved *Identification of weaknesses !4. Transition to Further Implementation *Deriving insights for further work *Assessment of the benefits of broader implementation *Preparation for the next development steps !Professional Relevance *Verification of AI ideas with a concrete example *Early assessment of effort and benefits *Basis for decisions regarding broader AI deployment

Upcoming dates

• 2026-09-27T22:00:00.000Z · 2026-11-05T23:00:00.000Z · Monheim am Rhein · Blended Learning
• 2026-09-27T22:00:00.000Z · 2026-12-15T23:00:00.000Z · Monheim am Rhein · Blended Learning
• 2026-09-27T22:00:00.000Z · 2026-11-05T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-09-27T22:00:00.000Z · 2026-12-15T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-25T23:00:00.000Z · 2026-12-03T23:00:00.000Z · Monheim am Rhein · Blended Learning