Codice
Durata
Prezzo
Lingua
Develop AI agents on Azure (AI-3026)
Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This learning path will help you understand the AI agents, including when to use them and how to build them, using Azure AI Agent Service and Semantic Kernel Agent Framework. By the end of this learning path, you will have the skills needed to develop AI agents on Azure.
Modalità di erogazione
In aula o Live Virtual Classroom
Attestato di partecipazione
Al termine del corso verrà rilasciato l’attestato di frequenza
Fundamentals of AI agents on Azure
AI agents represent the next generation of intelligent applications. Learn how they can be developed and used on Microsoft Azure.
- Introduction
- What are AI agents?
- Options for agent development
- Azure AI Agent Service
- Exercise – Explore AI Agent development
- Module assessment
- Summary
Develop an AI agent with Azure AI Agent Service
This module provides engineers with the skills to begin building agents with Azure AI Agent Service.
- Introduction
- What is an AI agent
- How to use Azure AI Agent Service
- Develop agents with the Azure AI Agent Service
- Exercise – Build an AI agent
- Module assessment
- Summary
Integrate custom tools into your agent
Built-in tools are useful, but they may not meet all your needs. In this module, learn how to extend the capabilities of your agent by integrating custom tools for your agent to use.
- Introduction
- Why use custom tools
- Options for implementing custom tools
- How to integrate custom tools
- Exercise – Build an agent with custom tools
- Module assessment
- Summary
Develop an AI agent with Semantic Kernel
This module provides engineers with the skills to begin building Azure AI Agent Service agents with Semantic Kernel.
- Introduction
- Understand Semantic Kernel AI agents
- Create an Azure AI agent with Semantic Kernel
- Add plugins to Azure AI agent
- Exercise – Develop an Azure AI agent with the Semantic Kernel SDK
- Knowledge check
- Summary
Orchestrate a multi-agent solution using Semantic Kernel
Learn how to use the Semantic Kernel SDK to develop your own AI agents that can collaborate for a multi-agent solution.
- Introduction
- Understand the Semantic Kernel Agent Framework
- Create an agent group chat
- Design an agent selection strategy
- Define a chat termination strategy
- Exercise – Develop a multi-agent solution
- Knowledge check
- Summary
This course is designed for developers, data scientists, and IT professionals who want to build intelligent AI-driven solutions in Azure. It is ideal for individuals with a basic understanding of programming and cloud technologies looking to enhance their skills in creating scalable and interactive AI agents for business or personal projects.
Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the Get started with AI applications and agents on Azure learning path first.
Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This learning path will help you understand the AI agents, including when to use them and how to build them, using Microsoft Foundry Agent Service and Microsoft Agent Framework. By the end of this learning path, you will have the skills needed to develop AI agents on Azure.