Master AI agent development with Azure AI Agent Service and Semantic Kernel. Learn to integrate custom tools and build multi-agent solutions. Gain hands-on experience in deploying scalable AI systems.
AI-3026: Develop AI Agents on Azure 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. 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.
Target Audience
AI Engineer
Prerequisites
Required:
Before starting this module, you should be familiar with fundamental AI concepts and services in 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
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
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
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
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
5) Orchestrate a multiagent 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
AI-3026: Develop AI Agents on Azure 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. 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.
Target Audience
AI Engineer
Prerequisites
Required:
Before starting this module, you should be familiar with fundamental AI concepts and services in 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
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
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
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
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
5) Orchestrate a multiagent 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
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