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Create a generative AI app that uses tools with Azure
Published 9/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 56m | Size: 529.44 MB
Azure Foundry, python, AI, Tools
What you'll learn
Create and configure a Microsoft Foundry project.
Find and deploy a GPT-5.2 model from the model catalog.
Test the web_search tool in the model playground.
Retrieve the Azure OpenAI endpoint required by a client application.
Use the OpenAI SDK with Microsoft Entra ID authentication
Create a vector store and upload PDF documents to it.
Integrate file_search and web_search into a Responses API request.
Run and test a Python application that uses these tools.
Requirements
Basic knowledge of Azure and generative AI concepts.
Basic Python programming skills.
Basic familiarity with command-line tools and virtual environments.
Description
Build a Generative AI Application with Microsoft Foundry, the Responses API, and Tools
Create a generative AI application with Microsoft Foundry, the Responses API, and tools capable of using information from both the Web and your own files.
This hands-on course guides you through creating a Microsoft Foundry project, deploying a GPT-5.2 model, and developing a Python chat application that uses the web_search and file_search tools.
Course Description
Microsoft Foundry: Build a Generative AI Application with Tools
This Level 300 course is based on a practical Microsoft Learning exercise focused on developing a generative AI application with Microsoft Foundry and the Responses API.
You will begin by creating a Microsoft Foundry project and deploying GPT-5.2. You will then experiment with the web_search tool in the model playground before developing a Python application capable of searching for information on the Web and in PDF brochures using a vector store and the file_search tool.
The lab uses Microsoft Entra ID authentication to connect to the Azure OpenAI endpoint. Some of the technologies presented in this course may be in preview or under active development. As a result, you may encounter unexpected behavior, warnings, or errors.
What You Will Learn
By the end of this course, you will be able to
- Create and configure a Microsoft Foundry project.
- Find and deploy a GPT-5.2 model from the model catalog.
- Test the web_search tool in the model playground.
- Retrieve the Azure OpenAI endpoint required by a client application.
- Use the OpenAI SDK with Microsoft Entra ID authentication.
- Create a vector store and upload PDF documents to it.
- Integrate file_search and web_search into a Responses API request.
- Run and test a Python application that uses these tools.
Who Is This Course For?
AI and Azure Developers
Learn how to create a generative AI application connected to a model deployed in Microsoft Foundry.
Python Developers
Learn how to integrate the Responses API, the OpenAI SDK, and Azure authentication into a client application.
Professionals Working with Private Data
Understand how to use PDF files with a vector store and the file_search tool.
Microsoft Foundry Users
Gain practical experience using tools that extend a model's capabilities beyond a standard chat experience.
Prerequisites
- An active Microsoft Azure subscription.
- Visual Studio Code installed.
- Python 3.13.x installed. The lab has been tested with Python 3.13.12.
- Git installed and configured.
- Azure CLI installed.
- Permissions to create the Azure resources required for the lab.
Full Course Outline
Section 1 - Create a Microsoft Foundry Project
Section 2 - Deploy a GPT-5.2 Model
Section 3 - Experiment with Tools in the Model Playground
Section 4 - Create an Application That Uses Tools
Section 5 - Retrieve the Azure OpenAI Endpoint
Section 6 - the Application Files from GitHub
Section 7 - Prepare the Application Configuration
Section 8 - Develop and Test the Chat Application
Who this course is for
AI and Azure Developers
Python Developers
Microsoft Foundry Users
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