What you’ll learn
After completing this course, students will 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
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
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
Build AI agents using the Semantic Kernel SDK
Develop multi-agent solutions
Create custom selection and termination strategies for agent collaboration
Microsoft Azure at Lumify Work
Lumify Work has been delivering effective training across all Microsoft products for over 30 years. We are proud to be both Australia's and New Zealand’s first Microsoft Gold Learning Solutions Partner and the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers (MCTs) in ANZ. All Lumify Work Microsoft Azure courses follow Microsoft Official Curriculum (MOC) and are led by MCTs.
Who is the course for?
This course is designed for developers, data scientists, and IT professionals who want to build intelligent AI-driven solutions using Azure's powerful AI Agent Service. 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.
Course subjects
Fundamentals of AI agents on Azure
Develop an AI agent with Azure AI Agent Service
Integrate custom tools into your agent
Orchestrate a multi-agent solution using Semantic Kernel
Prerequisites
Students should be familiar with fundamental AI concepts and services in Azure.
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Terms & Conditions
The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.