Get in Touch
 Duration 21 hours

Course Outline

Foundations of Edge AI and Kubernetes

  • The critical role of AI in edge computing
  • How Kubernetes serves as the orchestrator for distributed environments
  • Common use cases observed across various industries

Kubernetes Distributions Suited for Edge

  • A comparative analysis of K3s, MicroK8s, and KubeEdge
  • Standard installation and configuration workflows
  • Node specifications and effective deployment patterns

Architectural Models for Edge AI

  • Evaluating centralized, decentralized, and hybrid edge models
  • Strategic resource allocation on constrained nodes
  • Designing multi-node and remote cluster topologies

Implementing Machine Learning at the Edge

  • Containerizing inference workloads for portability
  • Leveraging GPU and accelerator hardware where available
  • Strategies for managing model updates across distributed devices

Managing Communication and Connectivity

  • Mitigating issues caused by intermittent or unstable networks
  • Techniques for synchronizing data between edge and cloud
  • Considerations regarding message queues and protocols

Observability and Monitoring in Edge Networks

  • Adopting lightweight monitoring solutions
  • Efficient telemetry collection from remote nodes
  • Debugging complex, distributed inference workflows

Enhancing Security for Edge AI

  • Safeguarding data and models on limited-capability devices
  • Implementing secure boot and trusted execution environments
  • Managing authentication and authorization across multiple nodes

Optimizing Performance for Edge Workloads

  • Minimizing latency through intelligent deployment strategies
  • Best practices for storage and caching
  • Tuning compute resources to maximize inference efficiency

Conclusion and Future Directions

Requirements

  • Core knowledge of containerized applications
  • Practical experience with Kubernetes administration
  • Basic familiarity with edge computing principles

Intended Audience

  • IoT engineers managing distributed device fleets
  • Cloud-native developers crafting intelligent applications
  • Edge architects designing comprehensive connected environments

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories