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Duration 21 hours
Course Outline
Introduction to Edge AI and Kubernetes
- Comprehending the role of AI in edge computing.
- Viewing Kubernetes as an orchestrator for distributed environments.
- Examining typical use cases across various industries.
Kubernetes Distributions for Edge Environments
- Comparing 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 across constrained nodes.
- Multi-node and remote cluster topologies.
Deploying Machine Learning Models at the Edge
- Packaging inference workloads using containers.
- Leveraging GPU and accelerator hardware when available.
- Managing model updates on distributed devices.
Communication and Connectivity Strategies
- Handling intermittent and unstable network conditions.
- Synchronization techniques for edge-to-cloud data.
- Message queues and protocol considerations.
Observability and Monitoring at the Edge
- 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 deployment strategies.
- Storage and caching considerations.
- Tuning compute resources for inference efficiency.
Summary and Next Steps
Requirements
- A solid grasp of containerized applications.
- Practical experience in Kubernetes administration.
- Knowledge of edge computing principles.
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
