Azure Training in Sud-Vest

This live, instructor-led training in Sud-Vest (online or onsite) is designed for intermediate 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 applications.
• Set up and manage an Azure OpenAI service.
• Integrate OpenAI's models into Java applications.
• Deploy AI-powered features within web applications.

This instructor-led, live training in Sud-Vest (online or onsite) is designed for intermediate to advanced-level professionals who aim to build and deploy AI-powered cloud applications using Microsoft Azure.

Upon completion of this training, participants will be able to:

• Create event-driven and serverless applications using Azure Functions.
• Administer Azure storage solutions and virtual machines.
• Deploy and scale web applications using Azure App Service and Docker containers.
• Incorporate AI, machine learning, and natural language processing capabilities using Azure AI Services.
• Utilize GitHub Copilot to support AI-driven cloud application development.

This instructor-led, live training in Sud-Vest (online or onsite) is targeted at intermediate-level data engineers who aim to master the use of Azure Synapse Analytics for a broad spectrum of data processing, analytics, and visualization tasks.

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

• Comprehend the core concepts, architecture, and components of Azure Synapse Analytics.
• Create, configure, and manage scalable data warehouses using Azure Synapse.
• Master techniques for ingesting, transforming, and loading data (ETL) from diverse 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 Sud-Vest (online or onsite) targets intermediate-level data engineers who want to learn how to use Azure Data Lake Storage Gen2 for effective data analytics solutions.

Upon completing this training, participants will be able to:

• Grasp 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 Sud-Vest (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 Sud-Vest (online or onsite) is intended for developers and technical professionals at beginner, intermediate, or advanced levels who aim to leverage Microsoft Azure to build, test, and deploy AI agents for business applications.

Upon completion 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 instructor-led, live training in Sud-Vest (online or onsite) is aimed at DevOps engineers, developers, and project managers who wish to utilize Azure DevOps to build and deploy optimized enterprise applications faster than traditional development approaches.

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.