Get in Touch

Course Outline

Introduction to Edge AI and Kubernetes

  • The strategic role of AI at the network edge
  • Utilizing Kubernetes as an orchestrator for distributed systems
  • Industry-specific application use cases

Kubernetes Distributions for Edge Environments

  • Evaluation of K3s, MicroK8s, and KubeEdge
  • Installation and configuration processes
  • Hardware requirements and deployment strategies

Architectural Patterns for Edge AI Deployment

  • Centralized, decentralized, and hybrid edge models
  • Resource distribution across limited-capacity nodes
  • Multi-node and remote cluster configurations

Implementing Machine Learning Models at the Edge

  • Encapsulating inference workloads in containers
  • Leveraging GPU and accelerator hardware where available
  • Managing model updates across distributed devices

Communication and Connectivity Strategies

  • Mitigating intermittent and unstable network conditions
  • Techniques for edge-to-cloud data synchronization
  • Message queuing and protocol selection

Observability and Monitoring at the Edge

  • Lightweight monitoring methodologies
  • Gathering telemetry from remote nodes
  • Troubleshooting distributed inference processes

Security for Edge AI Deployments

  • Safeguarding data and models on constrained devices
  • Secure boot and trusted execution methods
  • Authentication and authorization across nodes

Performance Optimization for Edge Workloads

  • Minimizing latency through strategic deployment
  • Storage and caching best practices
  • Optimizing compute resources for inference efficiency

Conclusion and Recommended Next Steps

Requirements

  • Proficiency with containerized applications
  • Hands-on experience in Kubernetes administration
  • Knowledge of edge computing principles

Target Audience

  • IoT engineers managing distributed device networks
  • Cloud-native developers creating intelligent applications
  • Edge architects designing interconnected environments
 21 Hours

Number of participants


Price per participant

Testimonials (4)

Upcoming Courses

Related Categories