What Will You Learn?
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
About This Course
Provider: Microsoft
Format: Online
Duration: 3 hours to complete [Approx]
Target Audience: Beginners
Learning Objectives: Upon completion this free course, you will be able to proficiently leverage Generative AI, training models to generate original content in response to natural language input, spanning text, images, and code.
Course Prerequisites: Familiarity with Azure and the Azure portal
Assessment and Certification: NA
Instructor: Microsoft
Key Topics: Generative AI, Large Language Models, Azure, OpenAI Services
Topic Covered:
- - Introduction
- - What is generative AI?
- - Large language models
- - What is Azure OpenAI?
- - What are copilots?
- - Improve generative AI responses with prompt engineering
- - Exercise - Explore generative AI with Bing Copilot
- - What is generative AI
- - Describe Azure OpenAI
- - How to use Azure OpenAI
- - Understand OpenAI's natural language capabilities
- - Understand OpenAI code generation capabilities
- - Understand OpenAI's image generation capabilities
- - Describe Azure OpenAI's access and responsible AI policies
- - Exercise - Explore Azure OpenAI Service
- - 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
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