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

Name: AI Agents-Beginner to Pro-Azure AI Foundry Agent Service
Rating: 4.4 (1737 reviews)

AI Foundry ,Agent Service,Function Calling,Code Interpreter,Bing Search ,AI Search,OpenAPI ,Logic Apps,Semantic Kernel

Created byKshitij Joy (Cloud Alchemy)

Last updated 4/2026

English

Danish [Auto],German [Auto],

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

Course content

20 sections • 225 lectures • 11h 55m total length

Title Intro0:08
Explore AI agents from beginner to pro with the Azure AI Foundry Agent Service, starting with an essential title intro.
Introduction to AI Agents1:15
What is Agentic AI ?3:13
Demo: AI Agents1:46
Watch a real-world AI agent demo with a robotic vacuum cleaner, showing obstacle avoidance, switching to wooden surfaces when carpeted areas are detected, and learning from the environment.
What are AI Agents?6:33
How an AI Agent Works ?5:04
Use Cases of AI Agents in the Real World6:06

Title Intro - Azure AI Foundry0:08
Introduction to Azure AI Foundry2:09
What is Azure AI Foundry?6:07
Architecture of Azure AI Foundry4:55
Explore the Azure AI Foundry architecture, including the model catalog and core AI services like Azure Open AI service, with observability and governance.
Projects vs Hubs4:04
How It Differs from Azure OpenAI Service3:35
Compare Azure OpenAI service usage with and without a project in Azure AI Foundry, detailing model catalog, fine-tuning, deployment, SDK access, and enterprise features across multiple AI services.
Navigating the Azure AI Foundry Portal4:25
Demo: Create a Hub & Project6:06
Model Benchmarks3:34
Acesss Playgrounds via Foundry2:45
Management Centre3:01

Advice0:32
Title Intro - Assistants API0:08
Introduction to Assistants API2:34
What is Assistants API ?8:49
Assistants API Component / Key Terms5:45
Assistants API Architecture7:33
What is Function Calling ?7:52
Demo: FC: Python Code : Function Calling Intro2:17
Explore function calling with a Python demo, extending OpenAI and Azure OpenAI by calling a third-party API to fetch weather data from openweathermap.org.
Demo: FC: Python Code: Get an API Key from openweathermap.org2:10
Pre-Req Setup azureopenai.env0:03
Demo: FC : Python Code : Initialise and Set the Environment1:52
Install the latest OpenAI Python package and load dot env, then configure the Azure OpenAI endpoint and API keys in Azure OpenAI dot env for the next steps.
Demo: FC : Python Code : Instantiate the Client Object of Azure OpenAI1:07
Instantiate the Azure OpenAI client in Python by wiring the endpoint, API key, and API version, using the latest in development and GA in production.
Demo:FC : Python Code: Define the get_weather Function5:10
Demo: FC: Python Code: Define the tools list required for the Assistants API2:20
Demo: FC_ Python Code : Create an Assistant & Thread2:33
Demo: FC:Python Code: Create a function for running the conversation5:18
Demo: FC: Python Code: Take the User input and show result2:53
Observe a Python demo that takes user input, loops the conversation with the Azure OpenAI assistant API, and fetches weather data for London and New Delhi via open weather map.org.

Title - Azure AI Agent Service0:08
Intro to Azure AI Agent Service2:44
What is Azure AI Agent Service?4:53
Architecture of Azure AI Agent Service7:16
Assistants API Vs Azure AI Agent Service3:00
Model & Region Support3:21
Quotas & Limits2:26
Explore Azure AI agent service quotas and limits, including 10,000 files per agent per thread, 512 MB per file, 100 GB total uploads, and 2 million tokens.
Azure AI Agent Service Pricing3:48
Demo: Create a Hub & Project4:02
Demo: Create an Agent via Azure Foundry2:43
Launch studio, select an azure openai resource, and deploy a model to create and run an azure ai agent, such as gpt-4 mini, within the portal.
Demo: Understand the various Knowledge & Action Tools3:06
Demo : Get a Response to your prompt via the Agents Playground2:38
Important Update !!!0:45

Title - Azure SDK for Python0:08
Discover how to use the Azure SDK for Python to build AI agents on the Azure AI Foundry Agent Service.
Introduction to Azure SDK for Python2:03
Learn to use the azure sdk for python to build ai agents in azure, covering ai projects client library, authentication, and running a sample with azure cli and vscode.
What is Azure AI Projects client library for Python5:21
Demo: Create VSCode Environment & setup Azure-CLI3:20
Execute the Sample Code5:10
Explore how to instantiate an AI project client from a connection string using the default Azure credential. Create a thread and run a GPT-based agent to respond to user messages.
Understand the Workflow for Agent Creation2:46
Learn the end-to-end workflow for agent creation in Azure AI Foundry, including creating a project and hub, deploying models, and configuring authentication with an app registration, secret, and contributor access.
Demo: Create Azure AI Project via Azure AI Foundry3:59
Demo: Create Entra ID Application & Grant Contributor access3:43

Title - Action Tools - Function Calling0:08
Intro to Function Calling1:11
Demo: Create a new Deployment inside Project1:35
Create a new deployment inside an Azure AI project using Launch Studio, select a base model such as GPT-4 or mini, and configure deployment details for LLM access in code.
Demo: Understand the Workflow for Weather Agent1:44
Demo : Understand the Environment Variables3:41
Note before install0:06
Demo : Install Libraries and Setup Enviornment3:25
Demo: Understand the Get_Weather Function5:21
Demo: Calling your Azure AI Agent7:58
Create and call an azure ai agent using a function tool and tool set to fetch weather data from OpenWeatherMap, authenticate with client secret credentials, and run interactive weather query.

Title - Code Interpreter0:08
Intro to Code Interpreter1:22
What is Code Interpreter ?10:07
Understand the Input Data - sales_data.csv1:31
Demo: How to use CI in Agents Playground3:39
Demo: Understand the Workflow for Graph Generator Agent2:45
Demo: Upload the sales_data.csv & Environment variables file2:57
Demo:Understand the Creation of Agent4:22
Demo: Create Thread and Message Convesation1:54
Demonstrates a while true loop driving a thread and message conversation in Azure AI Foundry Agent Service, including breaking on end, creating messages, running and fetching responses, and saving images.
Demo: Run the Agent & Create Graphs3:32
Execute the program to upload data, create the agent and thread, and generate a graph of total revenue and profit by product, with the agent replying from the uploaded data.

Title - OpenAPI 3.00:08
Discover OpenAPI 3.0 concepts for designing clear, interoperable APIs. Apply these principles to Azure AI Foundry Agent Service workflows.
What is OpenAPI 3.0 ?6:38
Describe Open API 3.0 as standard for describing RESTful APIs in YAML or JSON, detailing endpoints, parameters, and authentication, formerly swagger, used as a tool in Azure AI Agent Service.
Understanding the Workflow for Yahoo Finance2:24
Explore how an Azure AI agent uses an open API tool connected to Rapid API and Yahoo Finance to fetch stock data, with connectors, JSON schema, and API key authentication.
Demo: Create RapidAPI Key2:30
Create a RapidAPI key in the console, then wire your azure ai agent service to Yahoo Finance data using the Yahoo Finance collection and api endpoint.
Demo: Create a Connection to RapidAPI in Azure1:48
Demo: Create a Stocks Agent and Attach OpenAPI 3.03:04
Demo: Test the Stocks Agent in Playground1:54
Demo: Install the Libraries and Setup Environment2:40
Authenticate/Initialize/ Load OpenAPI Spec2:30
Get Connection / Create Auth Object / Create OpenAPI Tool3:34
Extract the Yahoo Finance connection ID, create the authentication object for the open API tool, and initialize the Get Yahoo Finance data tool to fetch real-time stock market and financial data.
Create Agent / Thread / Conversation Loop2:47
Execute the Program and run Queries2:06
Execute and test a yahoo finance assistant by attaching the get yahoo finance data tool and querying tickers like apple and tesla, using azure openai agents.

Title - Knowledge Tools - Bing Search0:08
Utilize Bing search as a knowledge tool to empower AI agents with fast, accurate information retrieval and improved decision making.
Intro to Grounding with Bing Search1:27
What is Grounding with Bing Search ?2:57
Demo : Create a Bing Search with Agent Service5:49
Demo: Create a Bing Resource & Create Connection3:04
Demo: Setup environment & install libraries2:19
Set up your environment and install the Azure AI Projects SDK, Azure Identity, and dotenv to manage environment variables, then configure the Bing connection name for correct execution.
Demo: Understand the Code5:30
Demo: Execute the Code2:13

Title - Knowledge Tools - File Search0:08
Explore knowledge tools and file search techniques for building AI agents with the Azure AI Foundry Agent Service, bridging beginner concepts to professional capabilities.
Intro to File Search1:33
Explore file search as a knowledge tool in the Azure AI agent service, enabling retrieval from blob storage to power Rag, with both no-code Foundry and code-based demonstrations.
What is File Search ?7:16
Demo: Utilize File Search with AI Foundry5:03
Demo: Understand the workflow2:21
Demo: Install Libraries & Setup Environment1:34
Demo: Initialise the Project Client & Upload the File3:15
Import modules, configure azure credentials, initialize azure ai project client, and upload GPT four system card to create a vector store for AI agent interaction and knowledge via file search.
Demo: Create Vector Store / Agent3:41
Create a vector store for embeddings, linking uploaded files to enable semantic search. Build a file search tool and an Azure OpenAI agent that replies only from uploaded documents.
Demo: Create Thread and Process Messages4:38
Create a conversation thread, upload a file as a message attachment, send user messages to the AI agent, process and retrieve responses, and optionally clean up resources to avoid costs.
Demo: Run the Code and ask Questions2:55

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

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

What you'll learn

Explore related topics

Course content

Intro to AI Agents7 lectures • 24min

Azure AI Foundry Basics (For Absolute Beginners)11 lectures • 41min

Assistants API - A Refresher17 lectures • 59min

Azure AI Agent Service13 lectures • 41min

Understanding Azure SDK for Python8 lectures • 27min

Azure AI Agent Service Action Tools- Function Calling9 lectures • 25min

Azure AI Agent Service Action Tools - Code Interpreter10 lectures • 32min

Azure AI Agent Service Action Tools - OpenAPI 3.012 lectures • 32min

Azure AI Agent Service Knowledge Tools - Bing Search8 lectures • 23min

Azure AI Agent Knowledge Tools - File Search10 lectures • 32min

Requirements

Description

Who this course is for: