Module 4: Agentic AI with Azure AI Foundry

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

Hands On Labs

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

Module 5: Build AI apps with Azure Database for PostgreSQL

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

Module 6: Build scalable and secure apps with Azure SQL Database

Introduction to Azure SQL Database

Build intelligent AI applications with Azure SQL Database

Secure your data on Azure SQL Database

Module 7: Develop AI-powered apps at any scale with Azure Cosmos DB

Introduction to Azure Cosmos DB

Global secondary index in Microsoft Azure Cosmos DB (Preview)

Get built-in vector search

Cosmos DB (NoSQL) in Fabric

Module 8: Fabric databases

What is Microsoft Fabric?

SQL database in Microsoft Fabric (Preview)

Hands On Labs

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

Module 9: Secure and govern your AI Apps and agents

Build generative AI workloads with Well-Architected Framework

Manage app secrets with Azure Key Vault

Overview of Defender for App Service

Authentication and authorization with Entra ID

Responsible AI principles and Mitigation layers in Azure AI Foundry

Azure AI Content Safety

Azure AI Foundry Observability

Risk and Safety Evaluations

Continuous monitoring in production

AI Red Teaming Agent

Entra IDs for agents

Azure AI Foundry and Microsoft Purview integration

Hands On Labs

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