AI-3016 | Develop custom copilots with Azure AI Studio
 
Generative Artificial Intelligence (AI) is becoming more accessible through easy-to-use platforms like Azure AI Studio. Learn how to build generative AI applications like custom copilots that use language models and prompt flow to provide value to your users.
 
Prerequisites
Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the Get started with artificial intelligence learning path first.
 
Course Outline
Module 1: Introduction to Azure AI Studio
Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Azure AI Studio brings these services together in a single unified experience for AI development on the Azure cloud platform.
Introduction
What is Azure AI Studio?
How does Azure AI Studio work
When to use Azure AI Studio
Exercise - Explore Azure AI Studio
Knowledge check
Summary
Module 2: Explore and deploy models from the model catalog in Azure AI Studio
Explore the various language models that are available through the Azure AI Studio's model catalog. Understand how to select, deploy, and test a model, and to improve its performance.
Introduction
Explore the language models in the model catalog
Deploy a model to an endpoint
Improve the performance of a language model
Exercise - Explore, deploy, and chat with language models
Knowledge check
Summary
Module 3: Get started with prompt flow to develop language model apps in the Azure AI Studio
Learn about how to use prompt flow to develop applications that leverage language models in the Azure AI Studio.
Introduction
Understand the development lifecycle of a large language model (LLM) app
Understand core components and explore flow types
Explore connections and runtimes
Explore variants and monitoring options
Exercise - Get started with prompt flow
Knowledge check
Summary
Module 4: Build a RAG-based copilot solution with your own data using Azure AI Studio
Copilots can work alongside you to provide suggestions, generate content, or help you make decisions. Copilots use language models as a form of generative artificial intelligence (AI) and will answer your questions using the data they were trained on. To ensure a copilot retrieves information from a specific source, you can add your own data when building a copilot with the Azure AI Studio.
Introduction
Understand how to ground your language model
Make your data searchable
Build a copilot with prompt flow
Exercise - Create a custom copilot that uses your own data
Knowledge check
Summary
Module 5: Integrate a fine-tuned language model with your copilot in the Azure AI Studio
Train a base language model on a chat-completion task. The model catalog in the Azure AI Studio offers many open-source models that can be fine-tuned for your specific model behavior needs.
Introduction
Understand when to fine-tune a language model
Prepare your data to fine-tune a chat completion model
Explore fine-tuning language models in Azure AI Studio
Exercise - Fine-tune a foundation model
Knowledge check
Summary
Module 6: Evaluate the performance of your custom copilot in the Azure AI Studio
Evaluating copilots is essential to ensure your custom copilots meet user needs, provide accurate responses, and continuously improve over time. Discover how to assess and optimize the performance of your custom copilot using the tools and features available in the Azure AI Studio.
Introduction
Assess the model performance
Manually evaluate the performance of a model
Assess the performance of your custom copilot
Exercise - Evaluate the performance of your custom copilot
Knowledge check
Summary
Module 7: Responsible generative AI in AI Studio
Generative AI enables amazing creative solutions but must be implemented responsibly to minimize the risk of harmful content generation.
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 AI Studio
Knowledge check
Summary
 
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