Develop Generative AI Solutions with Azure OpenAI Service

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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.

  • 21
    1 day, Fri 9:00 AM CST - Fri 5:30 PM CST
    • Group Rates Apply (6 or more) $668.59 excl. GST + PST (SK)
    • $695.00 excl. GST + PST (SK)
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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.


MODULE 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

MODULE 2- Build natural language solutions with Azure OpenAI Service
• Integrate Azure OpenAI into your app
• Use Azure OpenAI REST API
• Use Azure OpenAI SDK

MODULE 3- Apply prompt engineering with Azure OpenAI Service
• Understand prompt engineering
• Write more effective prompts
• Provide context to improve accuracy

MODULE 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

MODULE 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

MODULE 6- Use your own data with Azure OpenAI Service
• Understand how to use your own data
• Add your own data source
• Chat with your model using your own data


• Familiarity with Azure and the Azure portal.
• Experience programming with C# or Python.