AI Agents-Beginner to Pro-Azure AI Foundry Agent Service | Udemy

AI Agents – Beginner to Pro using Azure AI Agent Service

Unlock the power of AI agents with this comprehensive course designed to take you from a beginner to a pro using Azure AI Agent Service. In today’s fast-paced world, businesses and developers risk falling behind if they don’t harness AI automation. Fear of missing out drives the need to stay ahead, and this course ensures you’re equipped with the knowledge and skills to build and deploy AI agents efficiently. Whether you are new to AI or looking to deepen your understanding, this course provides hands-on experience with Azure’s AI ecosystem, giving you the edge you need to stay competitive.

Don’t let fear, uncertainty, and doubt hold you back from leveraging AI agents in real-world applications. With step-by-step guidance, demos, and real-world use cases, you’ll learn how AI agents work, how to integrate them with Azure AI Foundry, and how to utilize various Action and Knowledge tools. By the end of this course, you will have mastered function calling, code interpreter, Bing search, and Azure AI Search, empowering you to build intelligent, scalable, and automated solutions.

Course Contents

Section 1: Intro to AI Agents

• Lecture 1: Title Intro (Preview enabled)
• Lecture 2: Introduction to AI Agents
• Lecture 3: What is Agentic AI?
• Lecture 4: Demo: AI Agents (Preview enabled)
• Lecture 5: What are AI Agents?
• Lecture 6: How an AI Agent Works?
• Lecture 7: Use Cases of AI Agents in the Real World

Section 2: Azure AI Foundry Basics (For Absolute Beginners)

• Lecture 8: Title Intro – Azure AI Foundry
• Lecture 9: Introduction to Azure AI Foundry
• Lecture 10: What is Azure AI Foundry?
• Lecture 11: Architecture of Azure AI Foundry
• Lecture 12: Projects vs Hubs
• Lecture 13: How It Differs from Azure OpenAI Service
• Lecture 14: Navigating the Azure AI Foundry Portal
• Lecture 15: Key Difference – Azure OpenAI With & Without Project
• Lecture 16: Demo: Create a Hub & Project
• Lecture 17: Model Benchmarks
• Lecture 18: Access Playgrounds via Foundry
• Lecture 19: Management Centre

Section 3: Assistants API – A Refresher

• Lecture 20: Advice
• Lecture 21: Title Intro – Assistants API
• Lecture 22: Introduction to Assistants API
• Lecture 23: What is Assistants API?
• Lecture 24: Assistants API Components / Key Terms
• Lecture 25: Assistants API Architecture
• Lecture 26: What is Function Calling?
• Lecture 27-35: Multiple Demo Sessions on Function Calling with Python Code

Section 4: Azure AI Agent Service

• Lecture 36: Title – Azure AI Agent Service
• Lecture 37: Introduction to Azure AI Agent Service
• Lecture 38: What is Azure AI Agent Service?
• Lecture 39: Architecture of Azure AI Agent Service
• Lecture 40: Assistants API Vs Azure AI Agent Service
• Lecture 41-47: Model, Region Support, Pricing & Hands-on Demos

Section 5: Understanding Azure SDK for Python

• Lecture 48: Title – Azure SDK for Python
• Lecture 49: Introduction to Azure SDK for Python
• Lecture 50-55: Setup, Sample Code, and Agent Creation with SDK

Section 6: Azure AI Agent Service Action Tools – Function Calling

• Lecture 56: Title – Action Tools – Function Calling
• Lecture 57-63: Workflow & Implementation of Function Calling with Azure AI Agent

Section 7: Azure AI Agent Service Action Tools – Code Interpreter

• Lecture 64: Title – Code Interpreter
• Lecture 65-73: Understanding and Implementing Code Interpreter for AI Agents

Section 8: Azure AI Agent Service Knowledge Tools – Bing Search

• Lecture 74: Title – Knowledge Tools – Bing Search
• Lecture 75-81: Hands-on Implementation of Bing Search in AI Agents

Section 9: Azure AI Agent Knowledge Tools – File Search

• Lecture 82: Title – Knowledge Tools – File Search
• Lecture 83-91: File Search Setup, Implementation, and Query Processing

Section 10: Azure AI Agent Knowledge Tools – Azure AI Search

• Lecture 92: Title – Knowledge Tools – Azure AI Search
• Lecture 93-107: Hands-on Implementation of Azure AI Search with Agents & Python Code