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Duration 21 hours
Course Outline
Foundations of Edge AI and Kubernetes
- Exploring the strategic role of AI at the edge
- Leveraging Kubernetes as an orchestrator for distributed systems
- Examining typical industry use cases
Optimizing Kubernetes Distributions for Edge Environments
- Evaluating K3s, MicroK8s, and KubeEdge
- Streamlining installation and configuration processes
- Assessing node requirements and deployment topologies
Architecting Edge AI Deployment Strategies
- Comparing centralized, decentralized, and hybrid edge models
- Distributing resources across constrained nodes
- Designing multi-node and remote cluster architectures
Implementing Machine Learning Models at the Edge
- Encapsulating inference workloads within containers
- Utilizing GPU and accelerator hardware where applicable
- Oversight of model updates across distributed devices
Strategies for Communication and Connectivity
- Mitigating intermittent and unstable network conditions
- Implementing synchronization techniques for edge-cloud data flows
- Considering message queues and protocol selections
Enhancing Observability and Monitoring at the Edge
- Adopting lightweight monitoring solutions
- Gathering telemetry from remote nodes
- Diagnosing distributed inference workflows
Securing Edge AI Deployments
- Safeguarding data and models on limited-capacity devices
- Implementing secure boot and trusted execution frameworks
- Managing authentication and authorization across the cluster
Optimizing Performance for Edge Workloads
- Minimizing latency through strategic deployment methods
- Addressing storage and caching considerations
- Calibrating compute resources for inference efficiency
Conclusion and Future Directions
Requirements
- A solid grasp of containerized applications
- Proficiency in Kubernetes administration
- A strong foundation in edge computing principles
Target Audience
- IoT engineers managing distributed device networks
- Cloud-native developers crafting intelligent applications
- Edge architects architecting connected 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