This series is designed to help you complete the official Microsoft Plan on Learn for mastering the latest agentic AI technologies. Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution.
Join us for an exciting Learn Live webinar where we dive into the fundamentals of using Azure AI Foundry and AI Agents. The series is to help you build powerful Agent applications.
This learn live series 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 series, you will have the skills needed to develop AI agents on Azure.
This sessions will introduce you to AI agents, the next frontier in intelligent applications and explore how they can be developed and deployed on Microsoft Azure.
Through this webinar, you'll gain essential skills to begin creating agents with the Azure AI Agent Service. We'll also discuss how to take your agents to the next level by integrating custom tools, allowing you to extend their capabilities beyond built-in functionalities to better meet your specific needs.
Don't miss this opportunity to gain hands-on knowledge and insights from experts in the field. Register now and start your journey into building intelligent agents on Azure
Register NOW Learn Live: Master the Skills to Create AI Agents | Microsoft Reactor
Plan and Prepare to Develop AI Solution on Azure
Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Proper planning and preparation involves identifying the services you'll use and creating an optimal working environment for your development team.
Learning objectives
By the end of this module, you'll be able to:
- Identify common AI capabilities that you can implement in applications
- Describe Azure AI Services and considerations for using them
- Describe Azure AI Foundry and considerations for using it
- Identify appropriate developer tools and SDKs for an AI project
- Describe considerations for responsible AI
- Format:
- Livestream
Topic: Core AI
Language: English
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.
Learning objectives
By the end of this module, you'll be able to:
- Describe core concepts related to AI agents
- Describe options for agent development
- Create and test an agent in the Azure AI Foundry portal
- Format:
- Livestream
Topic: Core AI
Language: English
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.
Learning objectives
By the end of this module, you'll be able to:
- 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
- Format:
- Livestream
Topic: Core AI
Language: English
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.
Learning objectives
By the end of this module, you'll be able to:
- 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.
- Format:
- Livestream
Topic: Core AI
Language: English
Develop an AI agent with Semantic Kernel - Training | Microsoft Learn
By the end of this module, you'll be able to:
- 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
Develop an AI agent with Semantic Kernel
- Format:
- Livestream
Topic: Core AI
Language: English
Details
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.
Learning objectives
By the end of this module, you'll be able to:
- Build AI agents using the Semantic Kernel SDK
- Develop multi-agent solutions
- Create custom selection and termination strategies for agent collaboration
- Format:
- Livestream
Topic: Core AI
Language: English
Updated Apr 03, 2025
Version 4.0Lee_Stott
Microsoft
Joined September 25, 2018
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