Azure Training in Gaia

This instructor-led, live training in Gaia (online or onsite) targets intermediate-level Java developers, software engineers, and cloud enthusiasts eager to harness the power of Azure OpenAI to create intelligent applications.

Upon completion of this training, participants will be capable of:

• Grasping the core principles of Generative AI and its practical applications.
• Provisioning and managing Azure OpenAI services.
• Integrating OpenAI models into Java-based applications.
• Deploying AI-driven features within web applications.

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

By the end of this program, participants will be capable of:

• Understanding the core principles of Terraform and its benefits in infrastructure as code.
• Setting up and configuring Terraform for Azure.
• Creating, testing, and deploying Terraform configuration files for diverse Azure services.
• Using Terraform to manage and scale Azure resources.
• Implementing best practices for Terraform state management and version control.
• Integrating Terraform with Azure DevOps for automated deployment workflows.
• Building reusable Terraform modules to ensure consistent resource provisioning.
• Employing advanced Terraform features for complex infrastructure deployments.

This instructor-led, live training in Gaia (online or onsite) is tailored for intermediate to advanced professionals seeking to build and deploy AI-driven cloud applications using Microsoft Azure.

Upon completion of this training, participants will be capable of:

• Constructing event-driven and serverless applications with Azure Functions.
• Administering Azure storage solutions and virtual machines.
• Deploying and scaling web applications via Azure App Service and Docker containers.
• Integrating AI, machine learning, and natural language processing capabilities using Azure AI Services.
• Utilizing GitHub Copilot to support AI-driven cloud application development.

This instructor-led live training in Gaia (online or onsite) targets intermediate-level data engineers who wish to become proficient in using Azure Synapse Analytics for a wide range of data processing, analytics, and visualization tasks.

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.
• Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.

This instructor-led, live training in Gaia (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.
• Optimize 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 optimize storage strategies.

In this instructor-led, live training in Gaia (online or onsite), participants will learn how to set up and manage a production-scale 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 containerized (Docker) applications on Azure.
• Migrate an existing Kubernetes environment from on-premise to 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 Gaia (online or onsite) is designed for beginner, intermediate, and advanced developers, along with technical professionals who intend to utilise Microsoft Azure to build, test, and deploy AI agents for business purposes.

By the conclusion of this training, participants will be able to: comprehend AI agent architecture on Azure, create and configure a functional agent, link agents to corporate knowledge sources, and assess and prepare agents for deployment.

This instructor-led, live training in Gaia (available online or onsite) targets DevOps engineers, developers, and project managers who wish to utilize Azure DevOps to construct and deploy optimized enterprise applications more quickly than conventional development approaches permit.

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

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