- Module 1: Azure OpenAI Service enables engineers to build enterprise-grade generative AI solutions.
By the end of this module, you'll be able to:
- Create an Azure OpenAI Service resource and understand types of Azure OpenAI base models.
- Use the Azure OpenAI Studio, console, or REST API to deploy a base model and test it in the Studio's playgrounds.
- Generate completions to prompts and begin to manage model parameters.
- Module 2: Learn how to integrate language understanding and prompt completions from Azure OpenAI into your app.
By the end of this module, you'll be able to:
- Integrate Azure OpenAI into your application
- Differentiate between different endpoints available to your application
- Generate completions to prompts using the REST API and language specific SDKs
- Module 3: In this module, learn how prompt engineering can help to create and fine-tune prompts for natural language processing models. Prompt engineering involves designing and testing various prompts to optimize the performance of the model in generating accurate and relevant responses.
By the end of this module, you'll be able to:
- Understand the concept of prompt engineering and its role in optimizing Azure OpenAI models' performance.
- Know how to design and optimize prompts to better utilize AI models.
- Include clear instructions, request output composition, and use contextual content to improve the quality of the model's responses.
- Module 4: Learn how to use the Azure OpenAI Service to generate and improve code.
By the end of this module, you'll be able to:
- Use natural language prompts to write code
- Build unit tests and understand complex code with AI models
- Generate comments and documentation for existing code
- Module 5: Use DALL-E in Azure OpenAI service to generate images
By the end of this module, you'll be able to:
- Describe the capabilities of DALL-E in the Azure openAI service
- Use the DALL-E playground in Azure OpenAI Studio
- Use the Azure OpenAI REST interface to integrate DALL-E image generation into your apps
- Module 6: Learn how to use your own data with the Azure OpenAI Service.
By the end of this module, you'll be able to:
- Describe the capabilities of Azure OpenAI on your data
- Configure Azure OpenAI to use your own data
- Use Azure OpenAI API to generate responses based on your own data
- Module 7: A practical approach to implementing generative AI responsibly.
By the end of this module, you'll be able to:
- Describe an overall process for responsible generative AI solution development
- Identify and prioritize potential harms relevant to a generative AI solution
- Measure the presence of harms in a generative AI solution
- Mitigate harms in a generative AI solution
- Prepare to deploy and operate a generative AI solution responsibly
Develop Generative AI solutions with Azure OpenAI Service
Overview
Syllabus
- Module 1: Module 1: Get started with Azure OpenAI Service
- Introduction
- 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
- Exercise - Get started with Azure OpenAI Service
- Knowledge check
- Summary
- Module 2: Module 2: Build natural language solutions with Azure OpenAI Service
- Introduction
- Integrate Azure OpenAI into your app
- Use Azure OpenAI REST API
- Use Azure OpenAI SDK
- Exercise - Integrate Azure OpenAI into your app
- Knowledge check
- Summary
- Module 3: Module 3: Apply prompt engineering with Azure OpenAI Service
- Introduction
- Understand prompt engineering
- Write more effective prompts
- Provide context to improve accuracy
- Exercise - Utilize prompt engineering in your application
- Knowledge check
- Summary
- Module 4: Module 4: Generate code with Azure OpenAI Service
- Introduction
- Construct code from natural language
- Complete code and assist the development process
- Fix bugs and improve your code
- Exercise: Generate and improve code with Azure OpenAI Service
- Knowledge check
- Summary
- Module 5: Module 5: Generate images with Azure OpenAI Service
- Introduction
- What is DALL-E?
- Explore DALL-E in Azure OpenAI Studio
- Use the Azure OpenAI REST API to consume DALL-E models
- Exercise - Generate images with a DALL-E model
- Knowledge check
- Summary
- Module 6: Module 6: Use your own data with Azure OpenAI Service
- Introduction
- Understand how to use your own data
- Add your own data source
- Chat with your model using your own data
- Exercise: Use your own data with Azure OpenAI Service
- Knowledge check
- Summary
- Module 7: Module 7: Fundamentals of Responsible Generative AI
- Introduction
- Plan a responsible generative AI solution
- Identify potential harms
- Measure potential harms
- Mitigate potential harms
- Operate a responsible generative AI solution
- Exercise - Explore content filters in Azure OpenAI Service
- Knowledge check
- Summary
