-
This course offers additional learning and practice opportunities and is not associated with a certificate/exam.
Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are an important part of this development. This learning path will help you understand AI agents, including how to use and create them using the Azure AI agent service and the semantic kernel agent framework. By the end of this learning path, you will have the skills needed to develop AI agents in Azure.
-
Course Contents
-
- Fundamentals of AI agents on Azure
What are AI agents?
Options for agent development
Azure AI Agent Service
Explore AI Agent development - 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
Build an AI agent - Integrate custom tools into your agent
Why use custom tools
Options for implementing custom tools
How to integrate custom tools
Build an agent with custom tools - 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
Develop an Azure AI agent with the Semantic Kernel SDK - 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
Develop a multi-agent solution
The original Microsoft courseware is made available to you online.
- Fundamentals of AI agents on Azure
-
Target Group
-
AI Engineers
-
Knowledge Prerequisites
-
Before starting this module, you should be familiar with basic AI concepts and services in Azure. First, you should consider completing the AI-900T00 - Microsoft Azure AI Fundamentals learning path.
-
Course Objective
-
- Develop, integrate & coordinate AI agents in Azure
- Use Azure AI agent service & semantic kernel agent framework
- Create simple & complex agent solutions
- Include user-defined tools & multi-agent interactions
- Customize agents to requirements
- Collaborate with Azure services & solve complex processes
-
Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
-
This course offers additional learning and practice opportunities and is not associated with a certificate/exam.
Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are an important part of this development. This learning path will help you understand AI agents, including how to use and create them using the Azure AI agent service and the semantic kernel agent framework. By the end of this learning path, you will have the skills needed to develop AI agents in Azure.
-
Course Contents
-
- Fundamentals of AI agents on Azure
What are AI agents?
Options for agent development
Azure AI Agent Service
Explore AI Agent development - 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
Build an AI agent - Integrate custom tools into your agent
Why use custom tools
Options for implementing custom tools
How to integrate custom tools
Build an agent with custom tools - 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
Develop an Azure AI agent with the Semantic Kernel SDK - 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
Develop a multi-agent solution
The original Microsoft courseware is made available to you online.
- Fundamentals of AI agents on Azure
-
Target Group
-
AI Engineers
-
Knowledge Prerequisites
-
Before starting this module, you should be familiar with basic AI concepts and services in Azure. First, you should consider completing the AI-900T00 - Microsoft Azure AI Fundamentals learning path.
-
Course Objective
-
- Develop, integrate & coordinate AI agents in Azure
- Use Azure AI agent service & semantic kernel agent framework
- Create simple & complex agent solutions
- Include user-defined tools & multi-agent interactions
- Customize agents to requirements
- Collaborate with Azure services & solve complex processes
-
Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
