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Duration 21 hours
Course Outline
Introduction to Edge AI and Kubernetes
- The role of AI in edge computing
- Kubernetes as an orchestrator for distributed systems
- Industry-specific use cases
Kubernetes Distributions for Edge Environments
- Comparison of K3s, MicroK8s, and KubeEdge
- Installation and configuration procedures
- Node requirements and deployment patterns
Architectures for Edge AI Deployment
- Centralized, decentralized, and hybrid edge models
- Resource allocation on constrained nodes
- Multi-node and remote cluster topologies
Deploying Machine Learning Models at the Edge
- Packaging inference workloads using containers
- Utilizing GPU and accelerator hardware where available
- Overseeing model updates on distributed devices
Communication and Connectivity Strategies
- Addressing intermittent and unstable network conditions
- Synchronization methods for edge-to-cloud data flow
- Message queues and protocol selection considerations
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
- Secure boot and trusted execution methodologies
- Authentication and authorization mechanisms across nodes
Performance Optimization for Edge Workloads
- Latency reduction via deployment tactics
- Storage and caching best practices
- Optimizing compute resources for inference efficiency
Summary and Next Steps
Requirements
- A foundational understanding of containerized applications
- Practical experience with Kubernetes administration
- Knowledge of edge computing principles
Target Audience
- IoT engineers managing distributed device fleets
- Cloud-native developers creating intelligent applications
- Edge architects designing connected infrastructure 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
