Develop AI solutions with Azure OpenAI
ai-050
3 days
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Get started with Azure OpenAI Service
Azure OpenAI Service enables engineers to build enterprise-grade generative AI solutions.
- 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
Build natural language solutions with Azure OpenAI Service
Learn how to integrate language understanding and prompt completions from Azure OpenAI into your app.
- Integrate Azure OpenAI into your app
- Use Azure OpenAI REST API
- Use Azure OpenAI SDK
- Exercise - Integrate Azure OpenAI into your app
Apply prompt engineering with Azure OpenAI Service
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.
- Understand prompt engineering
- Write more effective prompts
- Provide context to improve accuracy
- Exercise - Utilize prompt engineering in your application
Generate code with Azure OpenAI Service
Learn how to use the Azure OpenAI Service to generate and improve code.
- 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
Generate images with Azure OpenAI Service
Use DALL-E in Azure OpenAI service to generate images
- 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
Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service
Learn how to use your own data with the 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
- Exercise - Add your data for RAG with Azure OpenAI Service
Note
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.
Important
To complete the hands-on labs in this course, students require an Azure subscription that has been approved for access to the Azure OpenAI service. Access approval can take several days to be granted. See https://learn.microsoft.com/legal/cognitive-services/openai/limited-access for details.
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.
The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions.