
Develop AI agents on Azure (AI-3026)
This course is designed to equip your team or individual learners with the skills to build intelligent agents using Azure's robust platform. Whether you're looking to enhance your company's capabilities in AI-based solutions or you're a solo developer looking to upgrade your skills, this course offers a foundational journey into leveraging AI technology with Azure's services.
We kick off with Fundamentals of AI Agents on Azure, where you'll start by understanding what AI agents are and the various development options available. As you progress, you'll gain insights into Azure AI Agent Service, preparing you for hands-on exercises in AI agent development. The module concludes with an assessment to solidify your understanding.
Next, you'll explore how to Develop an AI agent with Azure AI Agent Service. This segment emphasizes practical application, teaching you step-by-step how to utilize Azure AI Agent Service effectively. Through exercises, you'll develop your own AI agent, supported by a module assessment to ensure comprehension and retention.
The course proceeds to show how to Integrate Custom Tools into Your Agent. You'll learn why and how to implement custom tools to enhance your agents, tailoring solutions to meet specific organizational needs. The skills gained will be immediately applied in an exercise where you'll construct an agent with these new tools, finishing with an assessment to evaluate your progress.
In Develop an AI Agent with Semantic Kernel, the course takes a deeper dive into using the Semantic Kernel SDK. You'll discover how to create an Azure AI agent equipped with semantic capabilities and add plugins for enhanced functionality. This module includes an interactive exercise, followed by a knowledge check to confirm your understanding.
Lastly, the course offers guidance on how to Orchestrate a Multi-Agent Solution Using Semantic Kernel. You'll learn the essentials of the Semantic Kernel Agent Framework, including designing agent group chats and defining strategies for agent selection and chat termination. An exercise reinforces these concepts as you develop a multi-agent solution, culminating in a knowledge check to wrap up the module.
By the end of this course, attendees will be adept at developing and deploying AI agents on Azure, integrating custom tools, and orchestrating complex multi-agent environments. Whether developing solutions for your company or expanding personal skills, you'll be well-prepared to harness the power of AI technology on Azure.
- Understand the fundamentals of AI agents and their applications on Microsoft Azure.
- Gain hands-on experience in developing AI agents using Azure AI Agent Service.
- Learn how to extend AI agents by integrating custom tools for enhanced capabilities.
- Build AI agents with Semantic Kernel for more flexible and scalable development.
- Acquire skills to orchestrate multi-agent solutions using the Semantic Kernel SDK.
- Strengthen your ability to design, implement, and manage intelligent agent systems.
- Prepare for real-world AI agent projects by completing practical exercises and assessments.
Webucator is a Microsoft Certified Partner for Learning Solutions (CPLS). This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).
- Fundamentals of AI agents on Azure
- What are AI agents?
- Options for agent development
- Azure AI Agent Service
- Exercise - Explore AI Agent development
- Module assessment
- Develop an AI agent with Azure AI Agent Service
- 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
- Integrate custom tools into your agent
- Why use custom tools
- Options for implementing custom tools
- How to integrate custom tools
- Exercise - Build an agent with custom tools
- Module assessment
- Develop an AI agent with Semantic Kernel
- 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
- Orchestrate a multi-agent solution using Semantic Kernel
- 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
Each student will receive a comprehensive set of materials, including course notes and all the class examples.
Live Private Class
- Private Class for your Team
- Live training
- Online or On-location
- Customizable
- Expert Instructors