Application Development with Machine Learning

Course overview

Application development with Machine Learning combines traditional software development with data-driven components. Those who methodically bring together both worlds create viable products. The course presents the central building blocks of such a development process. Course Content 1. Architecture of ML-based Applications Interface between application and model Separation of data, model, and UI Scaling and latency aspects 2. Development Process in Teams Integration of engineering and data science Requirement definition for ML functions Tests and reviews 3. Data Flow in the Application Preparation of input data Processing of model results Handling uncertainty in responses 4. Operation and Maintenance Versioning of models in the application Monitoring and updates Response to model changes Professional Relevance Viable connection between application and model Increased effectiveness of ML initiatives Profiling at the intersection of software and ML

Upcoming dates

• 2026-10-18T22:00:00.000Z · 2026-12-16T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-18T22:00:00.000Z · 2027-02-14T23:00:00.000Z · Virtuelles Klassenzimmer