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Duration 21 hours
Course Outline
Foundations of Edge AI and Kubernetes
- Exploring the role of AI in edge environments
- Utilizing Kubernetes as an orchestrator for distributed systems
- Common use cases across various industries
Kubernetes Distributions for Edge Scenarios
- Comparison of K3s, MicroK8s, and KubeEdge
- Workflows for installation and configuration
- Node prerequisites and deployment patterns
Architectures for Edge AI Implementation
- Centralized, decentralized, and hybrid edge models
- Resource allocation across constrained nodes
- Multi-node and remote cluster topologies
Deploying Machine Learning Models on the Edge
- Packaging inference workloads using containers
- Leveraging GPU and accelerator hardware when available
- Managing model updates on distributed devices
Communication and Connectivity Strategies
- Mitigating intermittent and unstable network conditions
- Synchronization techniques for edge-to-cloud data flow
- Message queues and protocol considerations
Observability and Monitoring in Edge Environments
- Lightweight monitoring methodologies
- Collecting telemetry from remote nodes
- Debugging distributed inference workflows
Security for Edge AI Deployments
- Safeguarding data and models on constrained devices
- Implementing secure boot and trusted execution strategies
- Managing 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
Conclusion and Recommended Next Steps
Requirements
- A solid grasp of containerized applications
- Practical experience in Kubernetes administration
- Working knowledge of edge computing concepts
Target Audience
- IoT engineers responsible for deploying 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