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Duration 21 hours
Course Outline
Introduction to Edge AI and Kubernetes
- Exploring the strategic role of AI within edge computing
- Utilizing Kubernetes as an orchestrator for distributed systems
- Examining key use cases across various industries
Kubernetes Distributions for Edge Environments
- Evaluating K3s, MicroK8s, and KubeEdge
- Streamlining installation and configuration processes
- Assessing node prerequisites and deployment patterns
Architectures for Edge AI Deployment
- Analyzing centralized, decentralized, and hybrid edge models
- Allocating resources efficiently across constrained nodes
- Designing multi-node and remote cluster topologies
Deploying Machine Learning Models at the Edge
- Encapsulating inference workloads using containers
- Leveraging GPU and accelerator hardware where applicable
- Overseeing model updates across distributed devices
Communication and Connectivity Strategies
- Managing intermittent and unstable network conditions
- Applying synchronization techniques for edge-to-cloud data exchange
- Evaluating message queues and protocol requirements
Observability and Monitoring at the Edge
- Implementing lightweight monitoring frameworks
- Gathering telemetry from remote nodes
- Troubleshooting distributed inference workflows
Security for Edge AI Deployments
- Safeguarding data and models on resource-limited devices
- Implementing secure boot and trusted execution strategies
- Establishing authentication and authorization across nodes
Performance Optimization for Edge Workloads
- Minimizing latency through strategic deployment methods
- Addressing storage and caching implications
- Optimizing compute resources for inference efficiency
Summary and Next Steps
Requirements
- A foundational grasp of containerized application architectures
- Practical experience in Kubernetes administration
- Basic familiarity with the principles of edge computing
Target Audience
- IoT engineers managing distributed device fleets
- Cloud-native developers creating intelligent application solutions
- Edge architects engineering interconnected 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