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Course AI-3026: Develop AI agents on Azure
Generative artificial intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This course will help you understand AI agents, including when to use them and how to build them, using the Azure AI Agent service and the Semantic Kernel Agent framework. By the end of this course, you will have the skills needed to develop AI agents on Azure.
This course is designed to teach participants how to create, deploy, and manage intelligent AI agents using Microsoft's Azure AI Agent Service. Students will learn how to integrate advanced AI capabilities through agents into scalable and customizable solutions.
Intermediate - AI Engineer - Azure AI Services - Artificial Intelligence, Machine Learning, Natural Language Processing
Course aimed at
This course is designed for developers, data scientists, and IT professionals who want to build intelligent AI-powered solutions using the powerful Azure AI Agent Service. It is ideal for individuals with basic programming and cloud technology knowledge who are looking to improve their skills in building scalable, interactive AI agents for business or personal projects.
AI-3026 Training Objectives
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Build, deploy, and manage intelligent AI agents: Participants will learn how to use the Azure AI Agent service to develop AI agents that can be integrated into scalable and customizable solutions.
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Integrating Advanced AI Capabilities: This course teaches how to integrate advanced AI capabilities through agents, improving interaction and solution efficiency.
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Agent Development with Semantic Kernel: Students will gain skills to create agents using the Azure Semantic Kernel framework, enabling more complex and collaborative orchestration across multiple agents.
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Functionality Extension: You'll learn how to integrate custom tools into your agents to meet specific needs that built-in tools can't meet.
AI-3026 Course Content
Module 1 Introduction to AI Agent Development in Azure
- What are artificial intelligence agents?
- Options for agent development
- Azure AI Agent Service
- Exercise: Exploring AI Agent Development
Module 2: Developing an AI Agent with the Azure AI Agent Service
- What is an AI agent?
- Using the Azure AI Agent service
- Developing agents with the Azure AI Agent Service
- Exercise: Creating an AI Agent
Module 3 Integrating custom tools into the agent
- Why use custom tools?
- Options for implementing custom tools
- Integration of custom tools
- Exercise: Building an Agent with Custom Tools
Module 4: Developing an AI agent with a semantic kernel
- Description of semantic kernel artificial intelligence agents
- Creating an Azure AI Agent with Semantic Kernel
- Adding plugins to the Azure AI agent
- Exercise: Developing an Azure AI Agent with the Semantic Kernel SDK
Module 5 Orchestration of a multi-agent solution using a semantic kernel
- Description of the semantic kernel agent framework
- Creating an Agent Group Chat
- Design an agent selection strategy
- Defining a Chat Termination Strategy
- Exercise: Developing a multi-agent solution
Prerequisites
You should be familiar with fundamental AI concepts and services in Azure.
Language
- Course: English / Spanish
Microsoft Applied Skills
This course is part of the Microsoft Applied Skills Credentials.
Earn this Microsoft Applied Skills credential. In this course, you'll learn how to build AI applications with Azure Database for PostgreSQL.
Applied Skills: Explore all credentials in one guide