Course Outline
Introduction to Edge AI and Kubernetes
- Defining the strategic role of AI at the edge
- Leveraging Kubernetes as an orchestrator for distributed environments
- Exploring typical industry-specific use cases
Kubernetes Distributions for Edge Environments
- Evaluating K3s, MicroK8s, and KubeEdge
- Implementing installation and configuration workflows
- Defining node requirements and optimal deployment patterns
Architectures for Edge AI Deployment
- Designing centralized, decentralized, and hybrid edge models
- Managing resource allocation across constrained nodes
- Structuring multi-node and remote cluster topologies
Deploying Machine Learning Models at the Edge
- Encapsulating inference workloads within containers
- Utilizing GPU and accelerator hardware where applicable
- Overseeing model updates across distributed devices
Communication and Connectivity Strategies
- Mitigating the impact of intermittent and unstable network conditions
- Applying synchronization techniques for edge-to-cloud data flows
- Addressing message queues and protocol considerations
Observability and Monitoring at the Edge
- Adopting lightweight monitoring approaches
- Gathering telemetry from remote nodes
- Troubleshooting 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 methods
- Optimizing storage and caching mechanisms
- Tuning compute resources for enhanced inference efficiency
Summary and Next Steps
Requirements
- A solid understanding of containerized applications
- Practical experience with Kubernetes administration
- Proficiency with edge computing concepts
Target Audience
- IoT engineers managing distributed device fleets
- Cloud-native developers constructing intelligent applications
- Edge architects designing connected infrastructure environments
Testimonials (4)
basic understanding of container/kubernetes and how they interact features of the openshift plattform
Eric Scholze - NOW IT GmbH
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Yufri Isnaini Rochmat Maulana - Bank Indonesia
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How trainer deliver knowledge so effectively
Vu Thoai Le - Reply Polska sp. z o. o.
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The knowledge and exchanges with Augustin