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Duration 21 hours
Course Outline
Introduction to Edge AI and Kubernetes
- Exploring the role of AI at the edge
- Kubernetes as an orchestrator for distributed environments
- Common use cases across various industries
Kubernetes Distributions for Edge Environments
- Comparing K3s, MicroK8s, and KubeEdge
- Installation and configuration workflows
- Node requirements and deployment patterns
Architectures for Edge AI Deployment
- Centralized, decentralized, and hybrid edge models
- Resource allocation across constrained nodes
- Multi-node and remote cluster topologies
Deploying Machine Learning Models at the Edge
- Packaging inference workloads using containers
- Leveraging GPU and accelerator hardware where available
- Managing model updates across distributed devices
Communication and Connectivity Strategies
- Managing intermittent and unstable network conditions
- Techniques for synchronizing edge-to-cloud data
- Considerations for message queues and protocols
Observability and Monitoring at the Edge
- Lightweight approaches to monitoring
- Gathering telemetry from remote nodes
- Debugging distributed inference workflows
Security for Edge AI Deployments
- Safeguarding data and models on constrained devices
- Strategies for secure boot and trusted execution
- Implementing authentication and authorization across nodes
Performance Optimization for Edge Workloads
- Minimizing latency through strategic deployment
- Storage and caching best practices
- Optimizing compute resources for inference efficiency
Summary and Next Steps
Requirements
- A solid grasp of containerized applications
- Practical experience with Kubernetes administration
- Familiarity with the fundamentals of edge computing
Target Audience
- IoT engineers working with 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