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hands-on lab

Using Generative AI to Create Apps in Azure OpenAI Service

Difficulty: Advanced
Duration: Up to 1 hour
Students: 10
Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.
Learn and validateUse validations to check your solutions every step of the way.
See resultsTrack your knowledge and monitor your progress.

Description

Generative AI applications are software systems that can create new content, including text, images, code, and music, based on patterns learned from vast training data. These applications leverage advanced machine learning models, particularly large language models (LLMs), to understand context and generate human-like outputs.

Organizations are increasingly adopting these applications to enhance productivity, streamline operations, and create innovative solutions. The technology's ability to understand and generate human-like content makes it invaluable for tasks ranging from customer service to creative content development.

In this hands-on lab, you will use generative AI to create an app in Azure OpenAI Service.

Learning objectives

Upon completion of this advanced lab, you will be able to:

  • Use generative AI to create an app in Azure OpenAI Service
  • Create and run python applications
  • Adjust the code with chat completion conversation

Intended audience

  • Candidates for Azure AI Engineer Associate certification
  • Cloud Architects
  • DevOps Engineers
  • Machine Learning Engineers
  • Software Engineers

Prerequisites

Familiarity with the following will be beneficial but is not required:

  • Python
  • Azure OpenAI
  • Azure AI Search

The following content can be used to fulfill the prerequisites:

Environment before

Environment after

Covered topics

Hands-on Lab UUID

Lab steps

Logging in to the Microsoft Azure Portal
Creating a generative app in Python