Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 21 hours
Course Outline
Introduction to Edge AI and Kubernetes
- The strategic role of AI at the network edge
- Leveraging Kubernetes as an orchestrator for distributed systems
- Common use cases across various industries
Kubernetes Distributions for Edge Environments
- Evaluating K3s, MicroK8s, and KubeEdge
- Installation and configuration best practices
- Node prerequisites and deployment architectures
Architectures for Edge AI Deployment
- Centralized, decentralized, and hybrid edge models
- Resource distribution across limited-capacity nodes
- Multi-node and remote cluster topologies
Deploying Machine Learning Models at the Edge
- Encapsulating inference workloads in containers
- Utilizing GPU and accelerator hardware where applicable
- Overseeing model updates across distributed devices
Communication and Connectivity Strategies
- Managing intermittent and unstable network conditions
- Techniques for synchronizing data between edge and cloud
- Considerations for message queues and protocols
Observability and Monitoring at the Edge
- Implementing lightweight monitoring solutions
- Gathering telemetry from remote nodes
- Troubleshooting distributed inference workflows
Security for Edge AI Deployments
- Safeguarding data and models on constrained devices
- Strategies for secure boot and trusted execution
- Authentication and authorization mechanisms across nodes
Performance Optimization for Edge Workloads
- Minimizing latency through strategic deployment
- Optimizing storage and caching mechanisms
- Tuning compute resources for inference efficiency
Summary and Next Steps
Requirements
- Foundational knowledge of containerized applications
- Practical experience in Kubernetes administration
- Basic understanding of edge computing principles
Target Audience
- IoT engineers responsible for deploying distributed devices
- Cloud-native developers creating intelligent applications
- Edge architects designing interconnected environments
Testimonials (2)
As i said before , for a person like me (no exp. ) this was a gateway to understanding features and functions with these programs/tools & etc. .
Patrick V. Duylovski - UBB + DZI (KBC GROUP)
Course - Docker and Kubernetes
basic understanding of container/kubernetes and how they interact features of the openshift plattform