AI Agents-Beginner to Pro-Azure AI Foundry Agent Service
What you'll learn
- Introduction to AI Agents
- A Case Study of Netflix Recommendation System
- Module on Azure AI Foundry
- A Refresher on Assistants API
- Azure AI Agent Service Basics
- How to setup Agents via Foundry
- Azure AI Projects client library for Python
- Understand Azure CLI & Entra-ID App Registration Method
- Action Tool - Function Calling
- Action Tool - Code Interpreter
- Knowledge Tool - Grounding with Bing Search
- Knowledge Tool - File Search
- Knowledge Tool - Azure AI Search
Requirements
- Basic Understanding of Generative AI
- Understanding of Azure
- Basic Understanding of Python
Description
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
Who this course is for:
- Beginners wishing to learn Azure AI Foundry
- Beginners for Azure AI Agent Service
- How to address Knowledge Tools - Action & Knowledge
- Understand No-Code & Python Code for each Use Case
Instructor
Hi, I’m Kshitij Joy – a passionate educator, consultant, and Subject Matter Expert (SME) in Generative AI, Microsoft Azure, and enterprise AI solutions. With over 20+ years of experience as a Cloud Architect & Oracle Database Consultant working across global enterprises, I specialize in helping organisation's navigate their AI enablement journey by building scalable, production-ready solutions using cutting-edge technologies like OpenAI, Azure AI , Azure AI Search, and Agent-based frameworks such as LangChain and LlamaIndex.
As the founder of Cloud Alchemy Academy, I’ve trained thousands of professionals through my hands-on Udemy courses including “Generative AI: Beginner to Pro with OpenAI & Azure OpenAI” and “Meta LLaMA 3 Demystified” and Azure AI Agent Service.
I work closely with enterprises to design and deploy AI solutions that integrate Retrieval-Augmented Generation (RAG), private data copilots, and AI agents into their digital ecosystems. While my current focus is on Azure and Gen AI, I’m also proud to be recognized as an Oracle ACE Pro, bringing deep cross-platform expertise to every project. Whether you're just getting started with AI or looking to drive innovation at scale, my mission is to equip you with the skills and strategies to succeed in the rapidly evolving world of Generative AI.