Get in Touch
 Duration 21 hours

Course Outline

Introduction to Edge AI and Kubernetes

  • Comprehending the role of AI at the edge
  • Kubernetes as an orchestrator for distributed environments
  • Common use cases across various industries

Kubernetes Distributions for Edge Environments

  • Comparing K3s, MicroK8s, and KubeEdge
  • Installation and configuration workflows
  • Node requirements and deployment patterns

Architectures for Edge AI Deployment

  • Centralised, decentralised, and hybrid edge models
  • Resource allocation across constrained nodes
  • Multi-node and remote cluster topologies

Deploying Machine Learning Models at the Edge

  • Packaging inference workloads with containers
  • Utilising GPU and accelerator hardware where available
  • Managing model updates on distributed devices

Communication and Connectivity Strategies

  • Managing intermittent and unstable network conditions
  • Synchronisation techniques for edge-to-cloud data
  • Message queues and protocol considerations

Observability and Monitoring at the Edge

  • Lightweight monitoring approaches
  • Collecting telemetry from remote nodes
  • Debugging distributed inference workflows

Security for Edge AI Deployments

  • Protecting data and models on constrained devices
  • Secure boot and trusted execution strategies
  • Authentication and authorisation across nodes

Performance Optimisation for Edge Workloads

  • Reducing latency through deployment strategies
  • Storage and caching considerations
  • Tuning compute resources for inference efficiency

Summary and Next Steps

Requirements

  • A solid understanding of containerised applications
  • Practical experience with Kubernetes administration
  • Familiarity with edge computing concepts

Target Audience

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

Number of participants


Price per participant

Open Training Courses require 5+ participants.

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

Eric Scholze - NOW IT GmbH
Course - Introduction to Containers, Kubernetes & OpenShift

Provisional Upcoming Courses (Require 5+ participants)

Edge AI on Kubernetes: Deploying Intelligent Applications at the Edge

2026-11-16 09:30
21 hours
Sydney King Street
7050 AUD (Online)
16950 AUD (Classroom)

Edge AI on Kubernetes: Deploying Intelligent Applications at the Edge

2026-11-30 09:30
21 hours
London Circuit
7050 AUD (Online)
16950 AUD (Classroom)

Edge AI on Kubernetes: Deploying Intelligent Applications at the Edge

2026-12-14 09:30
21 hours
200 Mary Street, Brisbane
7050 AUD (Online)
16950 AUD (Classroom)

Edge AI on Kubernetes: Deploying Intelligent Applications at the Edge

2026-12-28 09:30
21 hours
Adelaide City Central
7050 AUD (Online)
16950 AUD (Classroom)

Edge AI on Kubernetes: Deploying Intelligent Applications at the Edge

2027-01-11 09:30
21 hours
Melbourne 385 Bourke Street
7050 AUD (Online)
16950 AUD (Classroom)

Related Courses

Advanced Platform Engineering: Scaling with Microservices and Kubernetes

 35 Hours

This instructor-led, live training in Australia (online or onsite) is designed for advanced-level platform engineers and DevOps professionals who want to master scaling applications using microservices and Kubernetes.

By the end of this training, participants will be able to:

  • Design and implement scalable microservices architectures.
  • Deploy and manage applications on Kubernetes clusters.
  • Utilize Helm charts for efficient service deployment.
  • Monitor and maintain the health of microservices in production.
  • Apply best practices for security and compliance in a Kubernetes environment.
Read more...

AI-Driven Kubernetes Operations: Autoscaling, Scheduling & Resource Optimization

 21 Hours
Master AI-driven Kubernetes operations in Australia through hands-on training. Apply ML for intelligent scheduling and autoscaling to optimise resource usage. Reduce costs and latency using predictive analytics and reinforcement learning models for real-world workloads.
Read more...

AI Workloads on Kubernetes: Deploying Machine Learning Models at Scale

 14 Hours

     

Read more...

Certified Kubernetes Administrator (CKA) - exam preparation

 21 Hours
This instructor-led live training in Australia prepares you for the Certified Kubernetes Administrator (CKA) exam. It offers practical experience in Kubernetes architecture, networking, security, and troubleshooting. It is ideal for administrators seeking certification or those aiming to enhance their cluster management capabilities.
Read more...

Certified Kubernetes Application Developer (CKAD) - exam preparation

 21 Hours
This instructor-led CKAD training in Australia readies developers for the Certified Kubernetes Application Developer examination through practical, hands-on labs. The course covers the design, construction, and security of cloud native applications using fundamental Kubernetes concepts, deployment strategies, and networking principles.
Read more...

Certified Kubernetes Security Specialist (CKS)

 21 Hours

This instructor-led live training, conducted in Australia (either online or on-site), is designed for Kubernetes practitioners aiming to prepare for the CKS exam.

By the conclusion of this training, participants will understand how to secure Kubernetes environments and container-based applications across the key stages of the application life cycle: build, deployment, and runtime.

Read more...

Cloud‑Native DevOps Mastery: Designing, Deploying & Operating Scalable Kubernetes Microservices

 49 Hours

This 7-day programme provides a comprehensive, hands-on journey into designing, deploying, and operating cloud-native applications using modern DevOps practices.

Participants will explore how to design scalable microservices architectures, optimise container environments, and manage production workloads using Kubernetes. The course covers advanced deployment strategies, GitOps-based automation, and observability practices to ensure system reliability and performance.

A strong focus is placed on real-world operational challenges, including incident response, failure simulation, and root cause analysis. The programme concludes with the use of AI-powered tools to support troubleshooting and accelerate operational decision-making.

By the end of the training, participants will have a clear understanding of how to build, deploy, monitor, and maintain resilient distributed systems in a Kubernetes-based environment.

Read more...

Introduction to Containers, Kubernetes & OpenShift

 35 Hours

Master the fundamentals of containers, Kubernetes, and OpenShift through practical, hands-on training designed for developers, DevOps engineers, and IT professionals. Participants will learn to build containerised applications, deploy workloads, manage Kubernetes resources, and utilise OpenShift to streamline modern application delivery across cloud and hybrid environments.

Read more...

Container Platforms Administration with Docker, Kubernetes and OpenShift

 35 Hours

Learn how to build, deploy, and administer containerised environments using Docker, Kubernetes, and OpenShift. This five-day, hands-on training covers container images, Kubernetes workloads, cluster networking, storage, security, monitoring, and practical OpenShift administration. Participants gain the skills needed to operate modern container platforms and troubleshoot applications across development and production environments.

Read more...

Docker and Kubernetes: Building and Scaling a Containerized Application

 21 Hours

In this instructor-led, live training in Australia (onsite or remote), participants will learn how to create and manage Docker containers, before deploying a sample application inside a container. Participants will also discover how to automate, scale, and manage their containerised applications within a Kubernetes cluster. Finally, the training covers more advanced topics, guiding participants through the process of securing, scaling, and monitoring a Kubernetes cluster.

By the end of this training, participants will be able to:

  • Set up and run a Docker container.
  • Deploy a containerised server and web application.
  • Build and manage Docker images.
  • Set up a Docker and Kubernetes cluster.
  • Use Kubernetes to deploy and manage a clustered web application.
  • Secure, scale, and monitor a Kubernetes cluster.
Read more...

Docker and Kubernetes

 21 Hours

Training Objectives: Acquire theoretical and operational skills in Docker and Kubernetes.

Read more...

Deploying Kubernetes Applications with Helm

 7 Hours

This instructor-led, live training in Australia (online or onsite) is designed for engineers who want to use Helm to streamline the installation and management of Kubernetes applications.

By the end of this training, participants will be able to:

  • Install and configure Helm.
  • Create reproducible builds of Kubernetes applications.
  • Share applications as Helm charts.
  • Run third-party applications saved as Helm charts.
  • Manage releases of Helm packages.
Read more...

Creating a Service Mesh with Istio and Kubernetes

 14 Hours
Master Istio on Kubernetes with this instructor-led course in Australia. Learn to install, configure, and secure service meshes using mTLS and Zero Trust. Gain practical experience in traffic management, observability with Prometheus and Jaeger, and Calico integration for production-ready microservices.
Read more...

Introduction to Minikube and Kubernetes

 21 Hours

This instructor-led, live training in Australia (online or onsite) is aimed at beginner-level to intermediate-level software developers and DevOps professionals who wish to learn how to set up and manage a local Kubernetes environment using Minikube.

By the end of this training, participants will be able to:

  • Install and configure Minikube on their local machine.
  • Understand the basic concepts and architecture of Kubernetes.
  • Deploy and manage containers using kubectl and the Minikube dashboard.
  • Set up persistent storage and networking solutions for Kubernetes.
  • Utilize Minikube for developing, testing, and debugging applications.
Read more...

Minikube for Developers

 14 Hours

This instructor-led, live training in Australia (online or onsite) is designed for intermediate-level developers and DevOps engineers who want to incorporate Minikube into their development workflow.

By the conclusion of this training, participants will be able to:

  • Set up and manage a local Kubernetes environment using Minikube.
  • Gain insight into deploying, managing, and debugging applications on Minikube.
  • Integrate Minikube into their continuous integration and deployment pipelines.
  • Enhance their development process by leveraging Minikube's advanced features.
  • Apply best practices for local Kubernetes development.
Read more...

Related Categories

Kubernetes
Kubernetes