In this session, we will delve into the capabilities of Agentic AI, the core components of AI Agents, and the various options for Agent development. We will also discuss when and how to use Azure AI Agent Service, the challenges involved in AI Agent development, and how AI Agents work. Additionally, we will create and test an AI Agent using a suite of tools available in the Azure AI Agent Service.

The Session will focus on: Azure AI Agent Service, Comparing Chat Completions API, Azure Agents and Azure OpenAI Assistants API, How does your Agents work, Microsoft Agentic Framework like Semantic Kernel and AutoGen, Knowledge Tools like Grounding with Bing Search and Action Tools like Function Calling, Code Interpreter and Azure Functions.

What will you learn from this session: Attendees will gain a clear understanding of how to implement solutions using Azure AI Agent Service, incorporating both Knowledge Tools and Action Tools.

Additionally, they will learn how to implement the Azure Agents SDK using Python, including grounding with Bing Search, function calling, and code interpretation.

Read More:

1. https://aka.ms/AI-Agent-Fundamentals
2. https://aka.ms/Develop-AI-Agent-Azure

Speaker Bio: Janarthanan Selvaraj is a Microsoft MVP in AI, MCT Community Lead, Microsoft Certified Trainer, Microsoft Learn Expert with expertise in AI, Machine Learning, Data Science and Microsoft Azure technologies. Currently he is working as Senior Specialist & AI Expert at Atos.

Social Handle:
LinkedIn: https://www.linkedin.com/in/janarthananselvaraj/
X: https://x.com/jana_selvaraj