AI-3026: Develop AI agents on Azure
= Scheduled class
= Guaranteed to run
= Fully booked
| LOCATION | May | June | July | August |
|---|---|---|---|---|
| Auckland | ||||
| Hamilton | ||||
| Christchurch | ||||
| Wellington | ||||
| Virtual Class |
Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This one-day training course 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 course, you will have the skills needed to develop AI agents on Azure.
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.
Students should be familiar with fundamental AI concepts and services in Azure.
After completing this course, students will be able to:
- Provision an Azure AI Vision resource
- Analyze an image
- Generate a smart-cropped thumbnail
- Create a custom Azure AI Vision classification model
- Understand image classification
- Understand object detection
- Train an image classifier in Vision Studio
- Identify options for face detection, analysis, and identification
- Understand considerations for face analysis
- Detect faces with the Azure AI Vision service
- Understand capabilities of the Face service
- Compare and match detected faces
- Implement facial recognition
- Read text from images using OCR
- Use the Azure AI Vision service Image Analysis with SDKs and the REST API
- Develop an application that can read printed and handwritten text
- Describe Azure Video Indexer capabilities
- Extract custom insights
- Use Azure Video Indexer widgets and APIs
- Describe core concepts related to AI agents
- Describe options for agent development
- Create and test an agent in the Azure AI Foundry portal
- Lab: Explore AI Agent development
- 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
- Lab: Build an AI agent
- 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.
- Lab: Build an agent with custom tools
- 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
- Lab: Develop an Azure AI agent with the Semantic Kernel SDK
- Build AI agents using the Semantic Kernel SDK
- Develop multi-agent solutions
- Create custom selection and termination strategies for agent collaboration
- Lab: Develop a multi-agent solution