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About the Course
The accelerated Microsoft Certified: Azure AI Apps and Agents Developer Associate course is designed for Software Developers who want to build modern, AI infused applications using Microsoft Azure AI Foundry and the latest agentic AI capabilities.
This course focuses on the practical skills required to design, develop, and deploy generative AI applications and intelligent AI agents that can reason, interact with data and tools, and operate securely within enterprise environments. You’ll learn how to create AI powered solutions that connect models to knowledge sources, APIs, and services, enabling agents to take meaningful actions rather than simply generate text.
Key areas covered include developing generative AI apps, building and orchestrating AI agents, and implementing knowledge connections and tool integrations within agent based architectures. The course also explores multimodal AI capabilities, enabling applications to work with text, images, and other complex content types, as well as techniques for interpreting and reasoning over rich, unstructured information.
As the successor to AI-102, this course reflects Microsoft’s shift toward agentic, production ready AI development, equipping developers with the skills needed to deliver intelligent, scalable AI solutions aligned to real world business use cases. It is ideal for developers building next generation applications with Azure AI services and preparing for the Microsoft Certified: Azure AI Apps and Agents Developer Associate certification.
Target Audience
This course is ideal for Software Engineers concerned with building, managing and deploying AI solutions that leverage Microsoft Foundry, who are familiar with Python, and who have knowledge on using APIs and SDKs to build agents and generative AI solutions on Azure.
Pre-requisite
Before attending this accelerated course, you should be familiar with fundamental AI concepts and services in Azure Programming.
Course Outline
Develop generative AI apps in Azure
Plan and prepare to develop AI solutions on Azure.
Select, deploy, and evaluate Microsoft Foundry models.
Develop a generative AI chat app with Microsoft Foundry.
Develop generative AI apps that use tools.
Optimise generative AI model performance with Microsoft Foundry.
Implement a responsible generative AI solution in Microsoft Foundry.
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 agent-driven workflows using Microsoft Foundry.
Develop an AI agent with Microsoft Agent Framework.
Orchestrate a multi-agent solution using the Microsoft Agent Framework.
Discover Azure AI Agents with A2A.
Develop natural language solutions in Azure
Analyse text with Azure Language in Foundry Tools.
Develop a text analysis agent with the 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 the Azure Speech MCP server.
Develop an Azure Speech Voice Live Agent in Microsoft Foundry.
Translate text and speech with Microsoft Foundry Tools.
Extract insights from visual data on Azure
Develop a vision-enabled generative AI application.
Generate images with AI.
Generate videos with Microsoft Foundry.
Analyse images with Content Understanding.
Create a multimodal 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.
AI-103 Certification Exam Overview
What Skills are Assessed and Measured in this Exam?
Plan and manage an Azure AI solution.
Implement generative AI and agentic solutions.
Implement computer vision solutions.
Implement text analysis solutions.
Implement information extraction solutions.