Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 21 hours
Course Outline
Introduction to Edge AI and Kubernetes
- The role of AI at the edge explained
- Kubernetes as an orchestrator for distributed environments
- Common use cases across various industries
Kubernetes Distributions for Edge Environments
- Comparison of K3s, MicroK8s, and KubeEdge
- Installation and configuration processes
- Node prerequisites and deployment strategies
Architectures for Edge AI Deployment
- Centralized, decentralized, and hybrid edge models
- Resource distribution across constrained nodes
- Topologies for multi-node and remote clusters
Deploying Machine Learning Models at the Edge
- Containerizing inference workloads
- Leveraging GPU and accelerator hardware where available
- Handling model updates on distributed devices
Communication and Connectivity Strategies
- Managing intermittent and unstable network conditions
- Synchronization methods for edge-to-cloud data flows
- Considerations for message queues and protocols
Observability and Monitoring at the Edge
- Implementing lightweight monitoring solutions
- Gathering telemetry from remote nodes
- Debugging distributed inference processes
Security for Edge AI Deployments
- Safeguarding data and models on limited devices
- Strategies for secure boot and trusted execution
- Authentication and authorization across nodes
Performance Optimization for Edge Workloads
- Minimizing latency via deployment tactics
- Storage and caching best practices
- Optimizing compute resources for inference efficiency
Conclusion and Future Directions
Requirements
- A solid grasp of containerized applications
- Practical experience in Kubernetes administration
- Knowledge of edge computing principles
Target Audience
- IoT engineers managing distributed devices
- Cloud-native developers creating intelligent applications
- Edge architects designing connected environments
Testimonials (2)
As i said before , for a person like me (no exp. ) this was a gateway to understanding features and functions with these programs/tools & etc. .
Patrick V. Duylovski - UBB + DZI (KBC GROUP)
Course - Docker and Kubernetes
basic understanding of container/kubernetes and how they interact features of the openshift plattform