We provide course about AI-3026: Develop AI agents on Azure. This course equips you with the skills to design, build, and deploy intelligent AI agents using Azure AI Agent Service. Explore core concepts, development options, and hands-on labs to create and test AI agents in Azure AI Foundry.
Course description:
Learn to integrate custom tools for enhanced AI functionalities. Utilize Semantic Kernel SDK to build AI agents and orchestrate multi-agent solutions. Develop custom collaboration strategies for AI automation. Gain practical expertise in creating scalable, autonomous AI systems on Azure.
Course objectives:
• Understand core concepts and development options for AI agents on Azure
• Build, test, and integrate AI agents using Azure AI Agent Service
• Leverage Semantic Kernel SDK to enhance AI agent capabilities
• Integrate custom tools for advanced AI agent functionalities
• Develop multi-agent solutions with custom collaboration strategies
• Apply hands-on labs to gain real-world AI agent development experience
Course outline:
Module 1 - Fundamentals of AI agents on Azure:
• Describe core concepts related to AI agents
• Describe options for agent development
• Create and test an agent in the Azure AI Foundry portal
• Lab: Explore AI Agent development
Module 2 - Develop an AI agent with Azure AI Agent Service:
• Describe the purpose of AI agents
• Explain the key features of Azure AI Agent Service
• Build an agent using the Azure AI Agent Service
• Integrate an agent in the Azure AI Agent Service into your own application
• Lab: Build an AI agent
Module 3 - Integrate custom tools into your agent:
• Describe the benefits of using custom tools with your agent.
• Explore the different options for custom tools.
• Build an agent that integrates custom tools using the Azure AI Agent Service.
• Lab: Build an agent with custom tools
Module 4 - Develop an AI agent with Semantic Kernel:
• Use Semantic Kernel to connect to an Azure AI Foundry project
• Create Azure AI Agent Service agents using the Semantic Kernel SDK
• Integrate plugin functions with your AI agent
• Lab: Develop an Azure AI agent with the Semantic Kernel SDK
Module 5 - Orchestrate a multi-agent solution using Semantic Kernel:
• Build AI agents using the Semantic Kernel SDK
• Develop multi-agent solutions
• Create custom selection and termination strategies for agent collaboration
• Lab: Develop a multi-agent solution
Target audience:
AI Engineer
Prerequisites:
• Participants should be familiar with fundamental AI concepts and services in Azure
Language:
• English course material, norwegian or english speaking instructor
Course material:
The course fee includes digital course documentation and lunch and refreshment