Course Outline
Introduction to Edge AI and Kubernetes for Government
- Understanding the Role of AI at the Edge
- Kubernetes as an Orchestrator for Distributed Environments
- Typical Use Cases Across Industries
Kubernetes Distributions for Edge Environments for Government
- Comparing K3s, MicroK8s, and KubeEdge
- Installation and Configuration Workflows
- Node Requirements and Deployment Patterns
Architectures for Edge AI Deployment for Government
- Centralized, Decentralized, and Hybrid Edge Models
- Resource Allocation Across Constrained Nodes
- Multi-Node and Remote Cluster Topologies
Deploying Machine Learning Models at the Edge for Government
- Packaging Inference Workloads with Containers
- Using GPU and Accelerator Hardware When Available
- Managing Model Updates on Distributed Devices
Communication and Connectivity Strategies for Government
- Handling Intermittent and Unstable Network Conditions
- Synchronization Techniques for Edge-to-Cloud Data
- Message Queues and Protocol Considerations
Observability and Monitoring at the Edge for Government
- Lightweight Monitoring Approaches
- Collecting Telemetry from Remote Nodes
- Debugging Distributed Inference Workflows
Security for Edge AI Deployments for Government
- Protecting Data and Models on Constrained Devices
- Secure Boot and Trusted Execution Strategies
- Authentication and Authorization Across Nodes
Performance Optimization for Edge Workloads for Government
- Reducing Latency Through Deployment Strategies
- Storage and Caching Considerations
- Tuning Compute Resources for Inference Efficiency
Summary and Next Steps for Government
Requirements
- Knowledge of containerized applications
- Experience in Kubernetes administration
- Understanding of edge computing principles
Audience for Government
- IoT engineers responsible for deploying distributed devices
- Cloud-native developers working on intelligent applications
- Edge architects designing connected environments
Testimonials (5)
The HPA and VPA
Iulian Popov
Course - Kubernetes Advanced
he was patience and understood that we fall behind
Albertina - REGNOLOGY ROMANIA S.R.L.
Course - Deploying Kubernetes Applications with Helm
The training was more practical
Siphokazi Biyana - Vodacom SA
Course - Kubernetes on AWS
Learning about Kubernetes.
Felix Bautista - SGS GULF LIMITED ROHQ
Course - Kubernetes on Azure (AKS)
It gave a good grounding for Docker and Kubernetes.