Kserve Deployment for Scalable Inference in Kubernetes

Course overview

Model Serving enables participants to implement scalable inference solutions in Kubernetes. Kubernetes techniques for container orchestration *KServe framework for deploying ML models *Strategies for scalable inference *Monitoring and optimization in model deployment *Cloud deployment of inference services *Connecting ML workflows with FastAPI and other tools *Practical applications with advanced algorithms *Resource management to enhance efficiency in Kubernetes

Upcoming dates

• 2026-10-25T23:00:00.000Z · 2027-02-21T23:00:00.000Z · Leipzig · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-02-21T23:00:00.000Z · Berlin · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-02-21T23:00:00.000Z · Berlin · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-02-21T23:00:00.000Z · Hamburg · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-02-21T23:00:00.000Z · Hamburg · Combined Learning