Integrated Performance Improvement

AI-050T00 Develop Generative AI Solutions with Azure OpenAI Service



Generative AI is a fast-evolving field of artificial intelligence, and the Azure OpenAI service is subject to frequent changes. The course materials are maintained to reflect the latest version of the service at the time of writing.

Azure OpenAI Service provides access to OpenAI’s powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you’ll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications.


Course Outline:

1 – Get started with Azure OpenAI Service

  • Access Azure OpenAI Service
  • Use Azure OpenAI Studio
  • Explore types of generative AI models
  • Deploy generative AI models
  • Use prompts to get completions from models
  • Test models in Azure OpenAI Studio’s playgrounds

2 – Build natural language solutions with Azure OpenAI Service

  • Integrate Azure OpenAI into your app
  • Use Azure OpenAI REST API
  • Use Azure OpenAI SDK

3 – Apply prompt engineering with Azure OpenAI Service

  • Understand prompt engineering
  • Write more effective prompts
  • Provide context to improve accuracy

4 – Generate code with Azure OpenAI Service

  • Construct code from natural language
  • Complete code and assist the development process
  • Fix bugs and improve your code

5 – Generate images with Azure OpenAI Service

  • What is DALL-E?
  • Explore DALL-E in Azure OpenAI Studio
  • Use the Azure OpenAI REST API to consume DALL-E models

6 – Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service

  • Understand Retrieval Augmented Generation (RAG) with Azure OpenAI Service
  • Add your own data source
  • Chat with your model using your own data

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