Course Outline
Introduction to Edge AI and Kubernetes
- Exploring the strategic role of AI at the edge.
- Utilizing Kubernetes as an orchestrator for distributed environments.
- Identifying key use cases across various industries.
Kubernetes Distributions for Edge Environments
- Comparing K3s, MicroK8s, and KubeEdge.
- Walkthroughs of installation and configuration workflows.
- Defining node requirements and optimal deployment patterns.
Architectures for Edge AI Deployment
- Evaluating centralized, decentralized, and hybrid edge models.
- Optimizing resource allocation across constrained nodes.
- Designing 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 across distributed devices.
Communication and Connectivity Strategies
- Addressing intermittent and unstable network conditions.
- Implementing synchronization techniques for edge-to-cloud data flows.
- Considering message queues and protocol best practices.
Observability and Monitoring at the Edge
- Adopting lightweight monitoring approaches.
- Gathering telemetry from remote nodes.
- Troubleshooting and debugging distributed inference workflows.
Security for Edge AI Deployments
- Safeguarding data and models on resource-limited 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.
- Addressing storage and caching considerations.
- Tuning compute resources for maximum inference efficiency.
Summary and Next Steps
Requirements
- A solid understanding of containerized applications.
- Practical experience with Kubernetes administration.
- Familiarity with the core concepts of edge computing.
Target Audience
- IoT engineers responsible for deploying distributed devices.
- Cloud-native developers creating intelligent applications.
- Edge architects designing interconnected 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
Course - Advanced Platform Engineering: Scaling with Microservices and Kubernetes
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
