Introduction to Microsoft Azure and Azure Kubernetes Service Training Course

This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to build and deploy AI-powered cloud applications using Microsoft Azure.

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

• Develop event-driven and serverless applications using Azure Functions.
• Manage Azure storage solutions and virtual machines.
• Deploy and scale web applications using Azure App Service and Docker containers.
• Integrate AI, machine learning, and natural language processing using Azure AI Services.
• Leverage GitHub Copilot to assist in AI-driven cloud application development.

This instructor-led, live training in Australia (online or onsite) is designed for engineers seeking to utilise Azure ML's drag-and-drop platform to deploy machine learning workloads, eliminating the need to purchase software and hardware while removing concerns regarding maintenance and deployment.

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

• Develop highly accurate machine learning models using Python, R, or zero-code tools.
• Leverage Azure's available data sets and algorithms to train and monitor machine learning and deep-learning models.
• Utilise Azure's interactive workspace to collaboratively develop ML models.
• Select from various Azure-supported ML frameworks, including PyTorch, TensorFlow, and scikit-learn.

Microsoft Azure Infrastructure and Deployment

This instructor-led, live training in Australia (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level developers and technical professionals who wish to use Microsoft Azure to build, test, and deploy AI agents for business applications.

By the end of this training, participants will be able to: understand AI agent architecture on Azure, create and configure a working agent, connect agents to business knowledge sources, evaluate and prepare agents for deployment.

This course enables delegates to refine their skills in designing Microsoft Azure solutions.

Upon completion, delegates will gain a comprehensive understanding of Azure service features and capabilities, allowing them to evaluate trade-offs and make informed decisions when designing public and hybrid cloud solutions.

Throughout the training, appropriate infrastructure and platform solutions will be defined to address functional, operational, and deployment requirements across the solution lifecycle.

This instructor-led, live training in Australia (online or onsite) is designed for DevOps engineers, developers, and project managers who wish to utilise Azure DevOps to build and deploy optimised enterprise applications more quickly than traditional development methods.

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

• Understand the core DevOps vocabulary and principles.
• Install and configure the necessary Azure DevOps tools for software development.
• Utilise Azure DevOps tools and services to continuously adapt to the market.
• Build enterprise applications and evaluate current development processes within Azure DevOps solutions.
• Manage teams more efficiently and accelerate software deployment timelines.
• Adopt DevOps development practices within the organisation.

This instructor-led, live training in Australia (online or onsite) is aimed at data scientists who wish to use Azure Machine Learning to build end-to-end machine learning models for predictive analysis.

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

• Build machine learning models with zero programming experience.
• Create predictive algorithms with Azure Machine Learning.
• Deploy production ready machine learning algorithms.

This instructor-led, live training in Australia (online or onsite) is designed for security administrators aiming to secure Azure workloads.

Upon completing this training, participants will be able to:

• Manage host security, network security, and additional areas.
• Configure storage and database security in Azure.
• Implement security monitoring using Azure resources.
• Prevent malicious cyber attacks targeting data and infrastructures.

This instructor-led live training, conducted Australia (either online or on-site), is targeted at security administrators who wish to learn how to configure Azure cloud security to protect workloads running in Azure.

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

• Configure host and network security.
• Configure Azure advanced security options.
• Use Azure to secure cloud computing workloads.
• Use endpoint protection services security against malware and viruses.
• Secure container workloads that are running in Azure.

This instructor-led, live training in Australia (online or onsite) is aimed at developers who wish to learn how to build microservices on Microsoft Azure Service Fabric (ASF).

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

• Use ASF as a platform for building and managing microservices.
• Understand key microservices programming concepts and models.
• Create a cluster in Azure.
• Deploy microservices on premises or in the cloud.
• Debug and troubleshoot a live microservice application.

Azure Bot Service unites the power of the Microsoft Bot Framework with Azure Functions, offering a robust platform for rapidly creating intelligent bots.

In this instructor-led, live training, participants will discover efficient methods for developing intelligent bots using Microsoft Azure.

Upon completing the training, participants will be capable of:

Grasping the fundamental concepts behind intelligent bots.

Constructing intelligent bots using cloud-based applications.

Acquiring practical knowledge of the Microsoft Bot Framework, the Bot Builder SDK, and Azure Bot Service.

Applying established bot design patterns to real-world scenarios.

Creating and deploying their first intelligent bot using Microsoft Azure.

Target Audience

This course is tailored for developers, hobbyists, engineers, and IT professionals keen on bot development.

Course Format

The training blends lectures and discussions with exercises, placing a strong emphasis on hands-on practice.

DO180 provides an overview of containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts, with a strong emphasis on practical skills.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level technical professionals who wish to learn container workflows, Kubernetes primitives, and how to deploy and operate applications on OpenShift.

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

• Build and manage container images and registries using best practices for reproducibility and security.
• Deploy and manage Kubernetes objects such as pods, deployments, and services in OpenShift.
• Utilise OpenShift features including routes, buildconfigs, and the web console to streamline application delivery.
• Implement persistent storage, configuration management, and secrets handling for stateful workloads.
• Apply basic security, RBAC, and monitoring practices to maintain healthy clusters and applications.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs in a live OpenShift environment every day.
• Scenario-driven exercises and troubleshooting workshops.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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.

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.

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.