Course Outline
Introduction to Edge AI and Kubernetes
- Exploring the significance of AI implementation at the edge.
- Utilizing Kubernetes as the orchestrator for distributed systems.
- Examining industry-specific use cases and applications.
Kubernetes Distributions for Edge Environments
- Evaluating K3s, MicroK8s, and KubeEdge.
- Walkthroughs of installation and configuration processes.
- Analyzing node requirements and optimal deployment patterns.
Architectures for Edge AI Deployment
- Designing centralized, decentralized, and hybrid edge models.
- Allocating resources efficiently across constrained nodes.
- Structuring multi-node and remote cluster topologies.
Deploying Machine Learning Models at the Edge
- Containerizing inference workloads for seamless integration.
- Leveraging GPU and accelerator hardware where available.
- Managing model updates across distributed device networks.
Communication and Connectivity Strategies
- Mitigating intermittent and unstable network conditions.
- Implementing synchronization techniques for edge-to-cloud data flow.
- Considering message queues and protocol optimizations.
Observability and Monitoring at the Edge
- Adopting lightweight monitoring solutions.
- Gathering telemetry data from remote nodes.
- Debugging complex distributed inference workflows.
Security for Edge AI Deployments
- Safeguarding data and models on resource-limited devices.
- Implementing secure boot and trusted execution environments.
- Managing authentication and authorization across edge nodes.
Performance Optimization for Edge Workloads
- Minimizing latency through strategic deployment methods.
- Optimizing storage and caching mechanisms.
- Tuning compute resources to maximize inference efficiency.
Summary and Next Steps
Requirements
- A foundational understanding of containerized application architectures.
- Practical experience in Kubernetes administration.
- A working knowledge of edge computing principles.
Target Audience
- IoT engineers responsible for deploying distributed device fleets.
- Cloud-native developers crafting intelligent applications.
- Edge architects designing scalable 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
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