{"course":{"productid":35924,"modality":1,"active":true,"language":"en","title":"Develop AI agents on Azure","productcode":"AI-3026","vendorcode":"MS","vendorname":"Microsoft","fullproductcode":"MS-AI-3026","courseware":{"has_ekit":true,"has_printkit":false,"language":""},"url":"https:\/\/portal.flane.ch\/course\/microsoft-ai-3026","essentials":"<p>Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the Get started with artificial intelligence learning path first.<\/p>","audience":"<p>This course is designed for developers, data\nscientists, and IT professionals who want to build intelligent AI-driven\nsolutions in Azure. It is ideal for\nindividuals with a basic understanding of programming and cloud technologies\nlooking to enhance their skills in creating scalable and interactive AI\nagents for business or personal projects.<\/p>","contents":"<h4>Develop AI agents with Microsoft Foundry and Visual Studio Code<\/h4><ul>\n<li>Introduction<\/li><li>Understand AI agents and Microsoft Foundry Agent Service<\/li><li>Explore development approaches<\/li><li>Build your first agent in Microsoft Foundry<\/li><li>Set up Visual Studio Code for agent development<\/li><li>Configure and manage agents in Visual Studio Code<\/li><li>Extend agent capabilities with tools<\/li><li>Test, deploy, and integrate agents<\/li><li>Exercise - Build and deploy an AI agent<\/li><li>Knowledge check<\/li><li>Summary<\/li><\/ul>\n<h4>Integrate custom tools into your agent<\/h4><ul>\n<li>Introduction<\/li><li>Why use custom tools<\/li><li>Options for implementing custom tools<\/li><li>How to integrate custom tools<\/li><li>Exercise - Build an agent with custom tools<\/li><li>Module assessment<\/li><li>Summary<\/li><\/ul>\n<h4>Integrate MCP Tools with Azure AI Agents<\/h4><ul>\n<li>Introduction<\/li><li>Understand MCP tool discovery<\/li><li>Integrate agent tools using an MCP server and client<\/li><li>Use Azure AI agents with MCP servers<\/li><li>Exercise - Connect MCP tools to Azure AI Agents<\/li><li>Module assessment<\/li><li>Summary<\/li><\/ul>\n<h4>Build knowledge-enhanced AI agents with Foundry IQ<\/h4><ul>\n<li>Introduction<\/li><li>Understanding RAG for agents<\/li><li>Explore Foundry IQ<\/li><li>Configure data sources for knowledge bases<\/li><li>Configure retrieval with Foundry IQ<\/li><li>Exercise - Integrate an AI agent with Foundry IQ<\/li><li>Knowledge check<\/li><li>Summary<\/li><\/ul>\n<h4>Integrate your agent with Microsoft 365<\/h4><ul>\n<li>Introduction<\/li><li>Understand Foundry agent publishing options<\/li><li>Publish an agent from Foundry portal to Teams<\/li><li>Advanced - Use Microsoft 365 Agents Toolkit<\/li><li>Access Microsoft 365 data with Work IQ<\/li><li>Test and iterate your integrated agent<\/li><li>Exercise - Publish a Foundry agent to Teams<\/li><li>Knowledge check<\/li><li>Summary<\/li><\/ul>\n<h4>Build agent-driven workflows using Microsoft Foundry<\/h4><ul>\n<li>Introduction<\/li><li>Understand Workflows<\/li><li>Identify Workflow Patterns<\/li><li>Create workflows in Microsoft Foundry<\/li><li>Add Agents to a Workflow<\/li><li>Apply Power Fx in Workflows<\/li><li>Maintain Workflows in Microsoft Foundry<\/li><li>Use workflows in code<\/li><li>Exercise - Create an Agent-driven Workflow<\/li><li>Module Assessment<\/li><li>Summary<\/li><\/ul>\n<h4>Develop an AI agent with Microsoft Agent Framework<\/h4><ul>\n<li>Introduction<\/li><li>Understand Microsoft Agent Framework AI agents<\/li><li>Create an Azure AI agent with Microsoft Agent Framework<\/li><li>Add tools to Azure AI agent<\/li><li>Exercise - Develop an Azure AI agent with the Microsoft Agent Framework SDK<\/li><li>Knowledge check<\/li><li>Summary<\/li><\/ul>\n<h4>Orchestrate a multi-agent solution using the Microsoft Agent Framework<\/h4><ul>\n<li>Introduction<\/li><li>Understand the Microsoft Agent Framework<\/li><li>Understand agent orchestration<\/li><li>Use concurrent orchestration<\/li><li>Use sequential orchestration<\/li><li>Use group chat orchestration<\/li><li>Use handoff orchestration<\/li><li>Use Magentic orchestration<\/li><li>Exercise - Develop a multi-agent solution<\/li><li>Knowledge check<\/li><li>Summary<\/li><\/ul>\n<h4>Discover Azure AI Agents with A2A<\/h4><ul>\n<li>Introduction<\/li><li>Define an A2A agent<\/li><li>Implement an agent executor<\/li><li>Host an A2A server<\/li><li>Connect to your A2A agent<\/li><li>Exercise - Connect to remote Azure AI Agents with the A2A protocol<\/li><li>Module assessment<\/li><li>Summary<\/li><\/ul>","summary":"<p>This course is designed\nto teach participants how to create, deploy, and manage intelligent AI\nagents using Azure AI Foundry. Students will learn to\nintegrate advanced AI capabilities through agents into scalable,\ncustomizable solutions.<\/p>","essentials_plain":"Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the Get started with artificial intelligence learning path first.","audience_plain":"This course is designed for developers, data\nscientists, and IT professionals who want to build intelligent AI-driven\nsolutions in Azure. It is ideal for\nindividuals with a basic understanding of programming and cloud technologies\nlooking to enhance their skills in creating scalable and interactive AI\nagents for business or personal projects.","contents_plain":"Develop AI agents with Microsoft Foundry and Visual Studio Code\n\n\n- Introduction\n- Understand AI agents and Microsoft Foundry Agent Service\n- Explore development approaches\n- Build your first agent in Microsoft Foundry\n- Set up Visual Studio Code for agent development\n- Configure and manage agents in Visual Studio Code\n- Extend agent capabilities with tools\n- Test, deploy, and integrate agents\n- Exercise - Build and deploy an AI agent\n- Knowledge check\n- Summary\n\nIntegrate custom tools into your agent\n\n\n- Introduction\n- Why use custom tools\n- Options for implementing custom tools\n- How to integrate custom tools\n- Exercise - Build an agent with custom tools\n- Module assessment\n- Summary\n\nIntegrate MCP Tools with Azure AI Agents\n\n\n- Introduction\n- Understand MCP tool discovery\n- Integrate agent tools using an MCP server and client\n- Use Azure AI agents with MCP servers\n- Exercise - Connect MCP tools to Azure AI Agents\n- Module assessment\n- Summary\n\nBuild knowledge-enhanced AI agents with Foundry IQ\n\n\n- Introduction\n- Understanding RAG for agents\n- Explore Foundry IQ\n- Configure data sources for knowledge bases\n- Configure retrieval with Foundry IQ\n- Exercise - Integrate an AI agent with Foundry IQ\n- Knowledge check\n- Summary\n\nIntegrate your agent with Microsoft 365\n\n\n- Introduction\n- Understand Foundry agent publishing options\n- Publish an agent from Foundry portal to Teams\n- Advanced - Use Microsoft 365 Agents Toolkit\n- Access Microsoft 365 data with Work IQ\n- Test and iterate your integrated agent\n- Exercise - Publish a Foundry agent to Teams\n- Knowledge check\n- Summary\n\nBuild agent-driven workflows using Microsoft Foundry\n\n\n- Introduction\n- Understand Workflows\n- Identify Workflow Patterns\n- Create workflows in Microsoft Foundry\n- Add Agents to a Workflow\n- Apply Power Fx in Workflows\n- Maintain Workflows in Microsoft Foundry\n- Use workflows in code\n- Exercise - Create an Agent-driven Workflow\n- Module Assessment\n- Summary\n\nDevelop an AI agent with Microsoft Agent Framework\n\n\n- Introduction\n- Understand Microsoft Agent Framework AI agents\n- Create an Azure AI agent with Microsoft Agent Framework\n- Add tools to Azure AI agent\n- Exercise - Develop an Azure AI agent with the Microsoft Agent Framework SDK\n- Knowledge check\n- Summary\n\nOrchestrate a multi-agent solution using the Microsoft Agent Framework\n\n\n- Introduction\n- Understand the Microsoft Agent Framework\n- Understand agent orchestration\n- Use concurrent orchestration\n- Use sequential orchestration\n- Use group chat orchestration\n- Use handoff orchestration\n- Use Magentic orchestration\n- Exercise - Develop a multi-agent solution\n- Knowledge check\n- Summary\n\nDiscover Azure AI Agents with A2A\n\n\n- Introduction\n- Define an A2A agent\n- Implement an agent executor\n- Host an A2A server\n- Connect to your A2A agent\n- Exercise - Connect to remote Azure AI Agents with the A2A protocol\n- Module assessment\n- Summary","summary_plain":"This course is designed\nto teach participants how to create, deploy, and manage intelligent AI\nagents using Azure AI Foundry. Students will learn to\nintegrate advanced AI capabilities through agents into scalable,\ncustomizable solutions.","skill_level":"Intermediate","version":"A","duration":{"unit":"d","value":1,"formatted":"1 day"},"pricelist":{"List Price":{"DE":{"country":"DE","currency":"EUR","taxrate":19,"price":690},"GB":{"country":"GB","currency":"GBP","taxrate":20,"price":940},"AT":{"country":"AT","currency":"EUR","taxrate":20,"price":690},"SE":{"country":"SE","currency":"EUR","taxrate":25,"price":690},"US":{"country":"US","currency":"USD","taxrate":null,"price":675},"CA":{"country":"CA","currency":"CAD","taxrate":null,"price":675},"NL":{"country":"NL","currency":"EUR","taxrate":21,"price":695},"IT":{"country":"IT","currency":"EUR","taxrate":20,"price":490},"SI":{"country":"SI","currency":"EUR","taxrate":20,"price":690},"CH":{"country":"CH","currency":"CHF","taxrate":8.1,"price":690},"FR":{"country":"FR","currency":"EUR","taxrate":19.6,"price":950}}},"lastchanged":"2026-02-19T11:11:41+01:00","parenturl":"https:\/\/portal.flane.ch\/swisscom\/en\/json-courses","nexturl_course_schedule":"https:\/\/portal.flane.ch\/swisscom\/en\/json-course-schedule\/35924","source_lang":"en","source":"https:\/\/portal.flane.ch\/swisscom\/en\/json-course\/microsoft-ai-3026"}}