Course Outline
Foundations of Edge AI and Kubernetes
- The significance of AI capabilities at the edge
- Leveraging Kubernetes as an orchestrator in distributed systems
- Key industry applications and use cases
Choosing Kubernetes Distributions for Edge Environments
- Evaluating K3s, MicroK8s, and KubeEdge
- Streamlining installation and configuration processes
- Understanding node requirements and optimal deployment patterns
Designing Architectures for Edge AI
- Centralized, decentralized, and hybrid edge models
- Efficient resource allocation on constrained nodes
- Structuring multi-node and remote cluster topologies
Deploying Machine Learning Models to the Edge
- Encapsulating inference workloads in containers
- Leveraging GPU and accelerator hardware when accessible
- Overseeing model updates across distributed devices
Managing Communication and Connectivity
- Addressing intermittent and unstable network conditions
- Implementing synchronization methods for edge-to-cloud data flow
- Considering message queues and protocol selection
Enhancing Observability and Monitoring at the Edge
- Adopting lightweight monitoring solutions
- Gathering telemetry from remote nodes
- Troubleshooting distributed inference workflows
Securing Edge AI Deployments
- Safeguarding data and models on resource-limited devices
- Implementing secure boot and trusted execution frameworks
- Enforcing authentication and authorization across nodes
Optimizing Performance for Edge Workloads
- Minimizing latency through strategic deployment
- Addressing storage and caching needs
- Fine-tuning compute resources for efficient inference
Conclusions and Future Directions
Requirements
- A solid grasp of containerized applications
- Hands-on experience with Kubernetes administration
- Working knowledge of edge computing principles
Target Audience
- IoT engineers deploying distributed device networks
- Cloud-native developers creating intelligent applications
- Edge architects designing connected environments
Testimonials (4)
basic understanding of container/kubernetes and how they interact features of the openshift plattform
Eric Scholze - NOW IT GmbH
Course - Introduction to Containers, Kubernetes & OpenShift
About the microservices and how to maintenance kubernetes
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.
Course - Certified Kubernetes Administrator (CKA) - exam preparation
The knowledge and exchanges with Augustin