LLMs are powerful, but without context and instructions, their responses are often limited and general. In this one-day course, you'll learn how to develop an agent that can perform specific actions and has access to targeted knowledge. Classic applications such as chatbots come by, but the emphasis is on building agents that perform tasks such as data cleaning, matching and automation within Azure AI Foundry.

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global program

Part 1 Introduction to AI and ChatGPT

Part 2 Introduction to Agents

Part 3 Building and Testing Agents (Exercise)

Part 4 Societal Context for Agents and RAG Models

Part 5 Multi Agents 1

Part 6 Multi Agents 2 (Open Exercise)

Part 7 Questions and Closing

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Developers, data engineers and data scientists

Prior knowledge:

Basic Python knowledge is required (local installation required). Experience with ChatGPT or other language models is an advantage — regular use (a few times a week) is sufficient.

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