Online Azure Training in New Zealand

This instructor-led, live training in New Zealand (online or on-site) is designed for intermediate-level Java developers, software engineers, and cloud enthusiasts who want to leverage Azure OpenAI to build intelligent applications.

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

• Understand the core principles of Generative AI and its practical applications.
• Set up and manage an Azure OpenAI service.
• Integrate OpenAI's models into Java applications.
• Deploy AI-driven features within web applications.

This instructor-led, live training in New Zealand (online or onsite) is designed for intermediate-level cloud engineers and IT professionals who wish to use Terraform to automate the deployment, management, and scaling of infrastructure on the Azure cloud platform.

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

• Understand the fundamentals of Terraform and its advantages within infrastructure as code.
• Set up and configure Terraform for Azure.
• Develop, test, and deploy Terraform configuration files for a range of Azure services.
• Use Terraform to manage and scale Azure resources effectively.
• Apply best practices for Terraform state management and version control.
• Integrate Terraform with Azure DevOps to enable automated deployments.
• Create reusable Terraform modules to ensure consistent resource provisioning.
• Leverage advanced Terraform features for complex infrastructure deployments.

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 aimed at intermediate-level data engineers who wish to become proficient in utilising Azure Synapse Analytics for a wide range of data processing, analytics, and visualisation.

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

• Understand the core concepts, architecture, and components of Azure Synapse Analytics.
• Create, configure, and manage scalable data warehouses using Azure Synapse.
• Master the techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
• Optimise query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualise data and share insights.

This instructor-led, live training in New Zealand (available online or on-site) is tailored for intermediate-level data engineers who want to learn how to leverage Azure Data Lake Storage Gen2 for effective data analytics solutions.

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

• Understand the architecture and key features of Azure Data Lake Storage Gen2.
• Optimise data storage and access for cost efficiency and performance.
• Integrate Azure Data Lake Storage Gen2 with other Azure services for analytics and data processing.
• Develop solutions using the Azure Data Lake Storage Gen2 API.
• Troubleshoot common issues and refine storage strategies.

In this instructor-led, live training in New Zealand (online or on-site), participants will learn how to set up and manage a production-grade container environment using Kubernetes on AKS.

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

• Configure and manage Kubernetes on AKS.
• Deploy, manage, and scale a Kubernetes cluster.
• Deploy containerised (Docker) applications on Azure.
• Migrate an existing Kubernetes environment from on-premises to the AKS cloud.
• Integrate Kubernetes with third-party continuous integration (CI) software.
• Ensure high availability and disaster recovery in Kubernetes.

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 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.