Duration - 16 hours
|
Level -
Last Updated Jun 2025
Target Audience
Suggested Certification
Hands on Labs
Course Code
Learn to leverage the power of Microsoft Azure’s Apps, Data and AI solutions to modernize and build intelligent apps and agents focusing on internal business critical applications and external customer facing apps. In this workshop you will learn more about the impactful application of generative AI, which harnesses massive data that will be huge for businesses. You will also learn to make use of Azure Data services and cloud-native app building features provided by Azure Kubernetes Services, Cosmos DB and GitHub.
Difference between traditional apps and AI Apps
Introduction to AI Apps on Azure
Introduction to Copilot for Azure
Build AI-powered applications with Azure App Service
Azure Container Apps
Serverless GPU integration with AI Foundry Models (preview)
Azure Kubernetes Service (AKS)
Deploy an AI model on Azure Kubernetes Service (AKS) with the AI toolchain operator (preview)
Agent development tools
Understand the GitHub models
AI-Powered Coding with GitHub Copilot
Understand Agentic DevOps
Introduction to Azure SRE Agent (Preview)
Use case 1 - Incorporate Quarkus Todo applications into Container Apps and integrate them with a relational database
Use case 2 - Building a Fruits list Quarkus web app with Azure App Service on Linux and PostgreSQL
Use case 3 - Containerizing a flightbooking app and deploying to Azure
What are Agents
Ways to build apps and agents
A deep dive into Azure AI Foundry
Design your apps with the best models from Azure AI Foundry
Use Azure AI services in Azure AI Foundry portal
Build agents using Azure AI Foundry Agent Service
Introduction to Azure AI Foundry SDK
Understand customization using prompt engineering, RAG and fine-tuning models
Azure Functions integration with AI Foundry Agent Service (GA)
Use case 6 - Deploying chat app on Azure Container Apps with PostgreSQL Flexible Server
Use case 7 - Enabling semantic search in Azure Database for PostgreSQL flexible server to use Azure OpenAI to generate vector embeddings
Use case 8 - Building and deploying Contoso Real Estate chat app to support customers
Introduction to Azure Database for PostgreSQL
Architecture and high availability
Generative AI with Azure Database for PostgreSQL - Flexible Server
Accelerate delivery of GenAI with PostgreSQL capabilities in GitHub Copilot
Introduction to Azure SQL Database
Build intelligent AI applications with Azure SQL Database
Microsoft Copilot in Azure with Azure SQL Database
Secure your data on Azure SQL Database
Introduction to Azure Cosmos DB
Global secondary index in Microsoft Azure Cosmos DB (Preview)
Get built-in vector search
Cosmos DB (NoSQL) in Fabric
Best practices and solutions using AI and Azure Cosmos DB
Features of Microsoft Fabric
SQL database in Microsoft Fabric (Preview)
Use case 4 - Building a TODO List ASP.NET app, deploy it to Azure App Service connecting to SQL Database
Use case 5 - Deploying a data-driven Python Restaurant web app with the Azure Database for PostgreSQL
Build generative AI workloads with Well-Architected Framework
Understand Azure Key Vault
Overview of Defender for App Service
Authentication and authorization with Entra ID
Entra IDs for agents
AI Red Teaming Agent
Azure AI Content Safety
Azure AI Foundry Observability
Responsible AI principles and practices for Azure generative AI services
Microsoft Trustworthy AI
Use case 9 - Building a Chat bot experience using Azure Cosmos DB for MongoDB and Azure OpenAI Service
Use case 10 - Deploying chat application to answer questions from the user and tracks chat history across conversations
Use case 11 - Integrate generative AI capabilities with Azure Database for PostgreSQL Flexible Server to evaluate reviews of given AI listings
