Course

Develop Custom Copilots with Azure AI Studio – Intensive Training («AI316»)

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 users.
Vendor code

AI-3016

Duration 1 day
Price 900.–
Course documents Official Microsoft Courseware on Microsoft Learn
New: This course is the new version of AI-050: Develop Generative AI Solutions with Azure OpenAI Service
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Course facts

  • Describing the key features and functions of Azure AI Studio
  • Using Azure AI Studio to deploy and manage an Azure AI resource
  • Using Azure AI Studio to create and manage an AI project
  • Understanding when to use Azure AI Studio
  • Understanding the development lifecycle when building language model applications
  • Understanding what a flow is in Prompt Flow
  • Exploring the core components of working with the Prompt Flow
  • Identifying the need to ground your language model with Retrieval Augmented Generation (RAG)
  • Indexing your data with Azure AI Search so you can be searched by language models
  • Creating a copilot using RAG and your own data in Azure AI Studio
  • Describing an overall process for developing solutions for responsible generative AI
  • Identifying and prioritizing potential harms relevant to a generative AI solution
  • Measuring the presence of harm in a generative AI solution
  • Mitigating harm in a generative AI solution
  • Preparing to responsibly deploy and operate a generative AI solution

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.

2 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.

3 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.

4 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.

 This course is designed for data scientists and Al engineers with existing knowledge of generative Al models and Python who want to create, customize, and deploy their own Copilots.
  • Familiarity with basic AI concepts and services in Azure
  • Experience with Python

We recommend prior participation in the following course:

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