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Duration 21 hours
Course Outline
Introduction to Edge AI and Kubernetes
- Exploring the strategic role of AI at the edge
- Utilizing Kubernetes as an orchestrator for distributed environments
- Reviewing typical use cases across various industries
Kubernetes Distributions for Edge Environments
- Comparing capabilities of 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 strategies across constrained nodes
- Multi-node and remote cluster topologies
Deploying Machine Learning Models at the Edge
- Packaging inference workloads within containers
- Leveraging GPU and accelerator hardware when available
- Managing model updates on distributed devices
Communication and Connectivity Strategies
- Addressing intermittent and unstable network conditions
- Synchronization techniques for edge-to-cloud data flow
- Message queues and protocol considerations
Observability and Monitoring at the Edge
- Implementing lightweight monitoring approaches
- Collecting telemetry from remote nodes
- Debugging distributed inference workflows
Security for Edge AI Deployments
- Protecting data and models on constrained devices
- Secure boot and trusted execution strategies
- Authentication and authorization across nodes
Performance Optimization for Edge Workloads
- Reducing latency through strategic deployment
- Storage and caching considerations
- Tuning compute resources for inference efficiency
Summary and Next Steps
Requirements
- A solid grasp of containerized applications
- Practical experience with Kubernetes administration
- Familiarity with core edge computing concepts
Target Audience
- IoT engineers deploying distributed devices
- Cloud-native developers building 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
