Introduction to Microsoft Azure and Azure Kubernetes Service Training Course

This instructor-led, live training in New Zealand (online or onsite) is designed for intermediate to advanced-level professionals who aim 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 New Zealand (online or onsite) is designed for engineers who wish to leverage Azure ML's drag-and-drop platform to deploy Machine Learning workloads without the need to purchase software and hardware, or worry about maintenance and deployment.

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

• Develop highly accurate machine learning models using Python, R, or zero-code tools.
• Utilise Azure's available datasets and algorithms to train and track machine learning and deep-learning models.
• Use Azure's interactive workspace to collaboratively develop ML models.
• Select from a range of Azure-supported ML frameworks such as PyTorch, TensorFlow, and scikit-learn.

Microsoft Azure Infrastructure and Deployment

This instructor-led, live training in New Zealand (online or on-site) is targeted at beginner, intermediate, and advanced developers and technical professionals who wish to leverage Microsoft Azure to build, test, and deploy AI agents for business applications.

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

This training enables delegates to enhance their Microsoft Azure solution design skills.

Upon completion, participants will understand the features and capabilities of Azure services, allowing them to identify trade-offs and make informed decisions when designing public and hybrid cloud solutions.

Throughout the training, delegates will define appropriate infrastructure and platform solutions that meet functional, operational, and deployment requirements across the solution lifecycle.

This instructor-led, live training in New Zealand (online or on-site) is designed for DevOps engineers, developers, and project managers who wish to leverage Azure DevOps to build and deploy optimised enterprise applications more rapidly than traditional development methods.

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

• Understand the core DevOps terminology and principles.
• Install and configure the essential Azure DevOps tools required for software development.
• Leverage Azure DevOps tools and services to continuously adapt to market demands.
• Build enterprise applications and assess current development processes using Azure DevOps solutions.
• Manage teams more effectively and accelerate software deployment timelines.
• Adopt DevOps development practices within their organisation.

This instructor-led, live training in New Zealand (available online or on-site) is designed for data scientists who wish to use Azure Machine Learning to develop end-to-end machine learning models for predictive analytics.

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

• Build machine learning models with no prior programming experience.
• Create predictive algorithms using Azure Machine Learning.
• Deploy production-ready machine learning algorithms.

This instructor-led, live training in New Zealand (available online or on-site) is tailored for security administrators seeking to secure Azure workloads.

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

• Administer host security, network security, and more.
• Configure storage and database security within Azure.
• Implement security monitoring using Azure resources.
• Prevent malicious cyber attacks against data and infrastructure.

This instructor-led, live training in New Zealand (online or on-site) is designed for 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.
• Implement endpoint protection services to defend against malware and viruses.
• Secure container workloads running in Azure.

This instructor-led, live training in New Zealand (online or on-site) is designed for developers who want 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 combines the capabilities of the Microsoft Bot Framework and Azure Functions, delivering a robust platform for rapidly building intelligent bots.

In this instructor-led, live training, participants will explore how to efficiently develop intelligent bots using Microsoft Azure.

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

Grasp the core concepts underpinning intelligent bots.

Build intelligent bots using cloud-based applications.

Gain practical expertise in the Microsoft Bot Framework, the Bot Builder SDK, and Azure Bot Service.

Apply proven bot design patterns to real-world scenarios.

Create and deploy their first intelligent bot using Microsoft Azure.

Audience

This course is tailored for developers, hobbyists, engineers, and IT professionals with an interest in bot development.

Format of the course

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

DO180 provides an introduction to containers, the fundamentals of Kubernetes, and key concepts of the Red Hat OpenShift platform, with a strong emphasis on practical, hands-on skills.

This instructor-led, live training (available online or on-site) is designed for technical professionals at beginner to intermediate levels who wish to master container workflows, understand Kubernetes primitives, and learn 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, applying best practices to ensure reproducibility and security.
• Deploy and manage Kubernetes objects such as pods, deployments, and services within the OpenShift environment.
• Utilise OpenShift features, including routes, buildconfigs, and the web console, to streamline application delivery.
• Implement persistent storage, configuration management, and secrets handling to support stateful workloads.
• Apply foundational security measures, role-based access control (RBAC), and monitoring practices to maintain healthy clusters and applications.

Course Format

• Interactive lectures and group discussions.
• Daily hands-on labs conducted in a live OpenShift environment.
• Scenario-driven exercises and troubleshooting workshops.

Course Customisation Options

• To request a customised version of this training, please contact us to arrange.

This instructor-led, live training in New Zealand (online or onsite) is aimed at engineers who wish to use Helm to streamline the process of installing and managing 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 New Zealand (online or on-site) is designed for beginner to intermediate-level software developers and DevOps professionals who want 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.
• Grasp the core concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Set up persistent storage and networking solutions for Kubernetes.
• Leverage Minikube for developing, testing, and debugging applications.

This instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level developers and DevOps engineers who wish to incorporate Minikube into their development workflows.

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

• Set up and manage a local Kubernetes environment using Minikube.
• Understand how to deploy, manage, and debug applications on Minikube.
• Integrate Minikube into their continuous integration and deployment pipelines.
• Optimise their development processes by leveraging Minikube's advanced features.
• Apply best practices for local Kubernetes development.