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Duration 21 hours
Course Outline
Introduction to Edge AI and Kubernetes
- The role of AI in edge computing.
- Kubernetes as the orchestrator for distributed systems.
- Common use cases across various industries.
Kubernetes Distributions for Edge Environments
- Comparison of K3s, MicroK8s, and KubeEdge.
- Installation and configuration processes.
- Node specifications and deployment strategies.
Architectures for Edge AI Deployment
- Centralized, decentralized, and hybrid edge models.
- Resource distribution across limited-capacity nodes.
- Multi-node and remote cluster configurations.
Deploying Machine Learning Models at the Edge
- Containerizing inference workloads.
- Utilizing GPU and accelerator hardware where applicable.
- Overseeing model updates on distributed endpoints.
Communication and Connectivity Strategies
- Mitigating issues arising from intermittent or unstable networks.
- Data synchronization methods between edge and cloud.
- Evaluating message queues and protocol options.
Observability and Monitoring at the Edge
- Implementing lightweight monitoring solutions.
- Gathering telemetry data from remote locations.
- Troubleshooting distributed inference pipelines.
Security for Edge AI Deployments
- Safeguarding data and models on resource-limited devices.
- Strategies for secure boot and trusted execution.
- Authentication and authorization mechanisms across nodes.
Performance Optimization for Edge Workloads
- Latency reduction through strategic deployment.
- Storage and caching best practices.
- Optimizing compute resources for inference efficiency.
Summary and Next Steps
Requirements
- Foundational knowledge of containerized applications.
- Practical experience in Kubernetes administration.
- Acquaintance with core edge computing principles.
Target Audience
- IoT engineers managing distributed device fleets.
- Cloud-native developers crafting intelligent software solutions.
- 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