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Course Outline
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
Requirements
- 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 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £3800 online delivery, based on a group of 2 delegates, £1200 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
Please see our public courses
Testimonials (5)
he was patience and understood that we fall behind
Albertina - REGNOLOGY ROMANIA S.R.L.
Course - Deploying Kubernetes Applications with Helm
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
Course - Kubernetes Advanced
The training was more practical
Siphokazi Biyana - Vodacom SA
Course - Kubernetes on AWS
Learning about Kubernetes.
Felix Bautista - SGS GULF LIMITED ROHQ
Course - Kubernetes on Azure (AKS)
It gave a good grounding for Docker and Kubernetes.
