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Duration 21 hours
Course Outline
Introduction to Edge AI and Kubernetes
- The strategic role of AI in edge computing
- Kubernetes as the orchestrator for distributed systems
- Key use cases across various industries
Kubernetes Distributions for Edge Environments
- Comparison of K3s, MicroK8s, and KubeEdge
- Workflows for installation and configuration
- Node requirements and deployment strategies
Architectures for Edge AI Deployment
- Centralized, decentralized, and hybrid edge models
- Resource allocation across limited-capacity 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 applicable
- Managing model updates on distributed devices
Communication and Connectivity Strategies
- Addressing intermittent and unstable network conditions
- Synchronization techniques for edge-to-cloud data transfer
- Message queues and protocol considerations
Observability and Monitoring at the Edge
- Lightweight monitoring methodologies
- Telemetry collection 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
- Authentication and authorization mechanisms across nodes
Performance Optimization for Edge Workloads
- Latency reduction through optimized deployment strategies
- Storage and caching best practices
- Compute resource tuning for inference efficiency
Summary and Next Steps
Requirements
- Foundational knowledge of containerized applications
- Practical experience in Kubernetes administration
- Understanding of core edge computing concepts
Target Audience
- IoT engineers responsible for distributed device deployments
- Cloud-native developers constructing 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