Course Outline
Introduction to Edge AI and Kubernetes
- The critical role of AI in edge environments
- Leveraging Kubernetes as an orchestrator for distributed systems
- Common industry use cases and applications
Kubernetes Distributions for Edge Environments
- Comparing K3s, MicroK8s, and KubeEdge
- Best practices for installation and configuration
- Understanding node requirements and optimal deployment patterns
Architectures for Edge AI Deployment
- Exploring centralized, decentralized, and hybrid edge models
- Resource allocation strategies for constrained nodes
- Designing multi-node and remote cluster topologies
Deploying Machine Learning Models at the Edge
- Packaging inference workloads using containers
- Utilizing GPU and accelerator hardware where available
- Managing model updates across distributed devices
Communication and Connectivity Strategies
- Navigating intermittent and unstable network conditions
- Techniques for syncing edge-to-cloud data
- Considerations for message queues and communication protocols
Observability and Monitoring at the Edge
- Implementing lightweight monitoring solutions
- Gathering telemetry from remote nodes
- Debugging complex distributed inference workflows
Security for Edge AI Deployments
- Securing data and models on constrained devices
- Employing secure boot and trusted execution strategies
- Implementing robust authentication and authorization across nodes
Performance Optimization for Edge Workloads
- Minimizing latency through strategic deployment choices
- Optimizing storage and caching mechanisms
- Tuning compute resources for maximum inference efficiency
Summary and Next Steps
Requirements
- A solid grasp of containerized applications
- Proficiency in Kubernetes administration
- Knowledge of fundamental edge computing principles
Target Audience
- IoT engineers responsible for deploying distributed devices
- Cloud-native developers focused on building intelligent applications
- Edge architects designing connected, distributed environments
Testimonials (3)
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
The training met expectations with its clear explanations, real-world examples, and hands-on labs that made complex topics easy to understand. It provided valuable insights into container orchestration, security, scaling and many other advanced topics.