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Duration 21 hours
Course Outline
Introduction to Edge AI and Kubernetes
- Exploring the significance of AI within edge contexts
- Utilizing Kubernetes as an orchestrator for distributed systems
- Examining typical use cases across various industries
Kubernetes Distributions for Edge Environments
- Evaluating K3s, MicroK8s, and KubeEdge
- Installation processes and configuration workflows
- Node prerequisites and deployment methodologies
Architectures for Edge AI Deployment
- Centralized, decentralized, and hybrid edge models
- Allocating resources across constrained nodes
- Multi-node and remote cluster topologies
Deploying Machine Learning Models at the Edge
- Containerizing inference workloads for efficient deployment
- Leveraging GPU and accelerator hardware where applicable
- Managing model updates across distributed devices
Communication and Connectivity Strategies
- Navigating intermittent and unstable network conditions
- Techniques for synchronizing edge-to-cloud data
- Considerations for message queues and protocols
Observability and Monitoring at the Edge
- Implementing lightweight monitoring solutions
- Gathering telemetry from remote nodes
- Troubleshooting distributed inference workflows
Security for Edge AI Deployments
- Safeguarding data and models on resource-limited devices
- Strategies for secure boot and trusted execution
- Managing authentication and authorization across nodes
Performance Optimization for Edge Workloads
- Minimizing latency via optimized deployment strategies
- Storage and caching best practices
- Adjusting compute resources for inference efficiency
Summary and Next Steps
Requirements
- A solid grasp of containerized application principles
- Proven experience in Kubernetes administration
- Familiarity with fundamental edge computing concepts
Target Audience
- IoT engineers managing distributed device fleets
- Cloud-native developers creating intelligent applications
- 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