Grazie per aver inviato la tua richiesta! Uno dei nostri team membri ti contatterà a breve.
Grazie per aver inviato il tuo prenotazione! Uno dei nostri team membri ti contatterà a breve.
Struttura del corso
Preparing Machine Learning Models for Deployment
- Packaging models with Docker
- Exporting models from TensorFlow and PyTorch
- Versioning and storage considerations
Model Serving on Kubernetes
- Overview of inference servers
- Deploying TensorFlow Serving and TorchServe
- Setting up model endpoints
Inference Optimization Techniques
- Batching strategies
- Concurrent request handling
- Latency and throughput tuning
Autoscaling ML Workloads
- Horizontal Pod Autoscaler (HPA)
- Vertical Pod Autoscaler (VPA)
- Kubernetes Event-Driven Autoscaling (KEDA)
GPU Provisioning and Resource Management
- Configuring GPU nodes
- NVIDIA device plugin overview
- Resource requests and limits for ML workloads
Model Rollout and Release Strategies
- Blue/green deployments
- Canary rollout patterns
- A/B testing for model evaluation
Monitoring and Observability for ML in Production
- Metrics for inference workloads
- Logging and tracing practices
- Dashboards and alerting
Security and Reliability Considerations
- Securing model endpoints
- Network policies and access control
- Ensuring high availability
Summary and Next Steps
Requisiti
- An understanding of containerized application workflows
- Experience with Python-based machine learning models
- Familiarity with Kubernetes fundamentals
Audience
- ML engineers
- DevOps engineers
- Platform engineering teams
14 Ore
Recensioni (5)
Era paziente e capiva che rimaniamo indietro
Albertina - REGNOLOGY ROMANIA S.R.L.
Corso - Deploying Kubernetes Applications with Helm
Traduzione automatica
How Interactive Reda would explain the information and get us to participate. He would also mention interesting facts along the way and share all the knowledge he has. Reda has excellent communication skills which makes online training really effective.
Janine - BMW SA
Corso - Kubernetes Advanced
The training was more practical
Siphokazi Biyana - Vodacom SA
Corso - Kubernetes on AWS
Learning about Kubernetes.
Felix Bautista - SGS GULF LIMITED ROHQ
Corso - Kubernetes on Azure (AKS)
It gave a good grounding for Docker and Kubernetes.
