Develop AI Apps and Agents on Azure (AI-103)

Duration: 4 days

This hands-on workshop uses Azure AI Foundry to help you build AI apps and agents on Azure. No prior programming experience is required; familiarity with Python helps a little, but it is not necessary.

Who Should Attend

• Software developers building AI-enabled cloud applications
• Azure engineers implementing generative AI and agent workflows
• Solution architects designing enterprise AI platforms
• Teams preparing for the AI-103 certification exam

Prerequisites

• No prior programming experience is required; familiarity with Python helps a little, but it is optional.
• Basic familiarity with Azure, APIs, and AI concepts is helpful.
• Access to an Azure subscription for the hands-on labs.

Learning Goals

• Choose the appropriate Azure AI Foundry services and models for specific business scenarios
• Build generative AI and agentic solutions with grounding and tool integration
• Implement responsible AI practices, safety controls, and governance for production systems
• Develop computer vision solutions for image analysis and custom model use cases
• Build text analysis and conversational language solutions using Azure AI services
• Extract structured data from documents with Azure AI Document Intelligence
• Monitor, secure, and optimize AI workloads for cost, scale, and reliability

Course Content

1. Develop generative AI apps in Azure

   • Plan and prepare to develop AI solutions in Azure
   • Select, deploy, and evaluate Microsoft Foundry models
   • Develop a generative AI chat app with Microsoft Foundry
   • Develop generative AI apps that use tools
   • Optimize generative AI model performance with Microsoft Foundry
   • Implement a responsible generative AI solution in Microsoft Foundry

2. Develop AI agents on Azure

   • Develop AI agents with Microsoft Foundry and Visual Studio Code
   • Integrate custom tools into your agent
   • Integrate MCP tools with Azure AI agents
   • Build knowledge-enhanced AI agents with Foundry IQ
   • Integrate your agent with Microsoft 365
   • Build data-driven workflows using Microsoft Foundry
   • Develop an AI agent with Microsoft Agent Framework
   • Orchestrate a multi-agent solution using Microsoft Agent Framework
   • Discover Azure AI agents with A2A

3. Develop natural language solutions in Azure

   • Analyze text with Azure language in Foundry tools
   • Develop a text analysis agent with Azure Language MCP Server
   • Develop a speech-capable generative AI application
   • Create speech-enabled apps with Azure Speech in Microsoft Foundry tools
   • Develop a speech agent with Azure Speech MCP server
   • Develop an Azure Speech Voice Live Agent in Microsoft Foundry
   • Translate text and speech with Microsoft Foundry tools

4. Extract insights from visual data on Azure

   • Develop a vision-enabled generative AI application
   • Generate images with AI
   • Generate videos with Microsoft Foundry
   • Analyze images with Content Understanding
   • Create a multimodel analysis solution with Azure Content Understanding
   • Create an Azure Content Understanding client application
   • Extract data with Azure Document Intelligence
   • Create a knowledge mining solution with Azure AI Search

Hands-on Labs

• Provision an Azure AI Foundry project and deploy model endpoints
• Build a RAG-enabled assistant using Azure AI Search and grounded prompts
• Implement an agent workflow with tool calling and approval checkpoints
• Add image analysis and OCR to a sample application
• Build a text analysis pipeline for sentiment and entity extraction
• Extract structured data from real-world documents and validate outputs
• Configure monitoring dashboards, safety evaluation, and cost controls

Outcomes

After this course, participants can deliver secure and scalable Azure AI solutions, implement agentic patterns end-to-end, and confidently prepare for the AI-103 exam domains.

Development Environment

• Windows, macOS, or Linux
• Visual Studio 2022/2026 or Visual Studio Code
• .NET 10 SDK (or Python 3.10+ for selected labs)
• Azure CLI and access to an Azure subscription
• Azure AI Foundry project with required service permissions