Get in Touch
 Duration 21 hours

Course Outline

Introduction to Edge AI and Kubernetes

  • The role of AI in edge computing.
  • Kubernetes as the orchestrator for distributed systems.
  • Common use cases across various industries.

Kubernetes Distributions for Edge Environments

  • Comparison of K3s, MicroK8s, and KubeEdge.
  • Installation and configuration processes.
  • Node specifications and deployment strategies.

Architectures for Edge AI Deployment

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

Deploying Machine Learning Models at the Edge

  • Containerizing inference workloads.
  • Utilizing GPU and accelerator hardware where applicable.
  • Overseeing model updates on distributed endpoints.

Communication and Connectivity Strategies

  • Mitigating issues arising from intermittent or unstable networks.
  • Data synchronization methods between edge and cloud.
  • Evaluating message queues and protocol options.

Observability and Monitoring at the Edge

  • Implementing lightweight monitoring solutions.
  • Gathering telemetry data from remote locations.
  • Troubleshooting distributed inference pipelines.

Security for Edge AI Deployments

  • Safeguarding data and models on resource-limited devices.
  • Strategies for secure boot and trusted execution.
  • Authentication and authorization mechanisms across nodes.

Performance Optimization for Edge Workloads

  • Latency reduction through strategic deployment.
  • Storage and caching best practices.
  • Optimizing compute resources for inference efficiency.

Summary and Next Steps

Requirements

  • Foundational knowledge of containerized applications.
  • Practical experience in Kubernetes administration.
  • Acquaintance with core edge computing principles.

Target Audience

  • IoT engineers managing distributed device fleets.
  • Cloud-native developers crafting intelligent software solutions.
  • Edge architects designing connected infrastructure environments.

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories