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Duration 21 hours
Course Outline
Foundations of Edge AI and Kubernetes
- The significance of AI within edge networks
- Kubernetes as the orchestrator for distributed systems
- Common industry applications and use cases
Kubernetes Distributions Tailored for Edge
- Analysis of K3s, MicroK8s, and KubeEdge
- Processes for installation and configuration
- Node specifications and deployment strategies
Architectural Designs for Edge AI
- Centralized, decentralized, and hybrid edge models
- Distributing resources across constrained nodes
- Structuring multi-node and remote clusters
Implementing Machine Learning Models at the Edge
- Encapsulating inference tasks using containers
- Leveraging GPU and accelerator hardware where possible
- Overseeing model updates across distributed devices
Communication and Connectivity Approaches
- Managing intermittent and unstable network states
- Techniques for synchronizing edge-to-cloud data
- Considerations for message queues and protocols
Monitoring and Observability in Edge Environments
- Implementing lightweight monitoring solutions
- Gathering telemetry from remote nodes
- Troubleshooting distributed inference processes
Security Protocols for Edge AI
- Safeguarding data and models on restricted devices
- Strategies for secure boot and trusted execution
- Managing authentication and authorization across nodes
Optimizing Edge Workload Performance
- Minimizing latency via strategic deployment
- Considerations for storage and caching
- Adjusting 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 device networks
- Cloud-native developers creating intelligent software
- Edge architects designing interconnected 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