0104: Microsoft Azure AI Fundamentals: Generative AI

Generative AI is a form of artificial intelligence in which models are trained to generate new original content based on natural language input. In other words, you can describe a desired output in normal everyday language, and the model can respond by creating appropriate text, images, or even code output.

Take this learning path to get started with generative AI. In it, you’ll:

  • Understand how large language models form the foundation of generative AI
  • Describe how Azure OpenAI Service provides access to the latest generative AI technology
  • Understand how generative AI applications, such as copilots, support efficiencies
  • Describe how prompts and responses can be fine-tuned
  • Describe how Microsoft’s responsible AI principles drive ethical AI advancements

Module 1 – Fundamentals of Generative AI

In this module you’ll explore the way in which large language models (LLMs) enable AI applications and services to generate original content based on natural language input. You’ll also learn how generative AI enables the creation of AI-powered copilots that can assist humans in creative tasks.

Learning objectives

By the end of this module, you’ll be able to:

  • Understand generative AI’s place in the development of artificial intelligence
  • Understand large language models and their role in intelligent applications
  • Describe how Azure OpenAI supports intelligent application creation
  • Describe examples of copilots and good prompts

Module 2 – Fundamentals of Azure OpenAI Service

Get to know the connection between artificial intelligence (AI), Responsible AI, and text, code, and image generation. Understand how you can use Azure OpenAI to build solutions against AI models within Azure.

Learning objectives

In this module you’ll learn how to:

  • Describe Azure OpenAI workloads and access the Azure OpenAI Service
  • Understand generative AI models
  • Understand Azure OpenAI’s language, code, and image capabilities
  • Understand Azure OpenAI’s responsible AI practices and limited access policies

Module 3 – Fundamentals of Responsible Generative AI

Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.

Learning objectives

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

Course Curriculum

This is an external course - Click 'Learn More' to explore the curriculum.