Azure OpenAI Workshop - Microsoft US Education

Azure OpenAI Service provides REST API access to OpenAI's powerful language models including the GPT-3, Codex and Embeddings model series. These models can be easily adapted to your specific task including but not limited to content generation, summarization, semantic search, and natural language to code translation. Users can access the service through REST APIs, Python SDK, or our web-based interface in the Azure OpenAI Studio.

In this workshop, you will learn how to leverage the Azure OpenAI service to create AI powered solutions. You will get hands-on experience with the latest AI technologies and will also learn how to interact with the Azure OpenAI APIs.

General Prerequisites

The following prerequisites must be completed before you start these labs

WI-FI enabled Laptop
You must be connected to the internet.

Before you begin

You will need to start Azure Lab Services Virtual Machine. Please follow the instructions below to start the VM:

Go to https://labs.azure.com
Click on Sign in with Microsoft Account
Enter the credentials provider to you by the instructor.
Once logged in, you will see the lab virtual machine. If your virtual machine is not started, click on stopped button.
The virtual machine will initiate the start process and you will see the status changed to Starting.
Once Started, you will see the status change to Running
Click on the Connect button to connect to the virtual machine. This will download a RDP file.
Dobule click on the RDP file to connect to the virtual machine and click on Connect.
Provide the password provided to you by the instructor to login.
Once logged in, please open the Microsoft Edge browser. Github Repo for the workshop and Azure Portal are already added to the home page of the browser.

Agenda

Activity	Duration
Lab 1: Automate Mailbox Responses	45 min
Lab 2: Azure OpenAI on your data	60 min
Lab 3: Chat with your database	45 min
Lab 4: Chat with your documents	60 min

Format

Instructor will run through an overview of solutions and steps
Audience will then build the solution in their environment.

Audience

Researchers and Developers
Software Engineers
Data Scientists
Solution Architects
Students

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

License

vaibhavdatascience/AzureOpenAIWorkshop

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