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Duration 21 hours
Course Outline
Introduction to Edge AI and Kubernetes
- The strategic role of AI at the network edge
- Kubernetes as the orchestrator for distributed environments
- Key use cases across various industries
Kubernetes Distributions for Edge Environments
- Evaluating K3s, MicroK8s, and KubeEdge
- Installation and configuration procedures
- Node prerequisites and deployment architectures
Architectures for Edge AI Deployment
- Centralized, decentralized, and hybrid edge models
- Resource allocation strategies for constrained nodes
- Multi-node and remote cluster topologies
Deploying Machine Learning Models at the Edge
- Containerizing inference workloads for deployment
- Leveraging GPU and accelerator hardware where available
- Handling model updates across distributed devices
Communication and Connectivity Strategies
- Mitigating intermittent and unstable network conditions
- Techniques for edge-to-cloud data synchronization
- Selection of message queues and communication protocols
Observability and Monitoring at the Edge
- Implementing lightweight monitoring solutions
- Acquiring telemetry data from remote nodes
- Troubleshooting distributed inference workflows
Security for Edge AI Deployments
- Safeguarding data and models on constrained devices
- Strategies for secure boot and trusted execution
- Managing authentication and authorization across nodes
Performance Optimization for Edge Workloads
- Latency reduction through strategic deployment methods
- Optimizing storage and caching mechanisms
- Refining compute resources for inference efficiency
Summary and Next Steps
Requirements
- A solid grasp of containerized applications
- Proficiency in Kubernetes administration
- Knowledge of edge computing fundamentals
Target Audience
- IoT engineers responsible for deploying distributed devices
- Cloud-native developers creating intelligent applications
- Edge architects designing connected system 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
