Online Azure Training in Australia

This instructor-led, live training in Australia (online or onsite) is designed for intermediate-level Java developers, software engineers, and cloud enthusiasts who want to leverage the capabilities of Azure OpenAI to build intelligent applications.

Upon completing this training, participants will be able to:

• Grasp the fundamental principles of Generative AI and its practical applications.
• Configure and manage an Azure OpenAI service.
• Integrate OpenAI models into Java applications.
• Deploy AI-driven features within web applications.

This instructor-led, live training in Australia (online or onsite) is aimed at 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 basics of Terraform and its benefits in infrastructure as code.
• Set up and configure Terraform for Azure.
• Develop, test, and deploy Terraform configuration files for various Azure services.
• Use Terraform for managing and scaling Azure resources.
• Implement best practices for Terraform state management and version control.
• Integrate Terraform with Azure DevOps for automated deployments.
• Create reusable Terraform modules for consistent resource provisioning.
• Utilize advanced features of Terraform for complex infrastructure deployments.

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

By the conclusion 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.
• Optimize 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 Australia (online or onsite) is aimed at intermediate-level data engineers who wish to learn how to use 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 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 optimise storage strategies.

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

Upon completion 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-premise 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 Australia (online or onsite) targets beginner-level, intermediate-level, or 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, and evaluate and prepare agents for deployment.

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.