AI-3016: Develop generative AI apps in Azure
Length: 1 Day(s) Cost:$895 + GST
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| Virtual Class |
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.
This course is for Data Scientists and AI Engineers.
Before starting this module, you should be familiar with fundamental AI concepts and services in Azure.
After completing this course, students will be able to:
- Describe core features and capabilities of Azure AI Studio
- Use Azure AI Studio to provision and manage an Azure AI resource
- Use Azure AI Studio to create and manage an AI project
- Understand the development lifecycle when creating language model applications
- Understand what a flow is in prompt flow
- Explore the core components when working with prompt flow
- Identify the need to ground your language model with Retrieval Augmented Generation (RAG)
- Index your data with Azure AI Search to make it searchable for language models
- Build a copilot using RAG on your own data in the Azure AI Studio
- Describe an overall process for responsible generative AI solution development
- Identify and prioritise potential harms relevant to a generative AI solution
- Mitigate harms in a generative AI solution
- Prepare to deploy and operate a generative AI solution responsibly
Plan and prepare to develop AI solutions on Azure
- Identify common AI capabilities that you can implement in applications
- Describe Azure AI Services and considerations for using them
- Describe Azure AI Foundry and considerations for using it
- Identify appropriate developer tools and SDKs for an AI project
- Describe considerations for responsible AI
- Lab: Prepare for an AI development project
Choose and deploy models from the model catalog in Azure AI Foundry portal
- Select a language model from the model catalog.
- Deploy a model to an endpoint.
- Test a model and improve the performance of the model.
- Lab: Explore, deploy, and chat with language model
Develop an AI app with the Azure AI Foundry SDK
- Describe capabilities of the Azure AI Foundry SDK.
- Use the Azure AI Foundry SDK to work with connections in projects.
- Use the Azure AI Foundry SDK to develop an AI chat app.
- Lab: Create a generative AI chat app
Get started with prompt flow to develop language model apps in the Azure AI Foundry
- Understand the development lifecycle when creating language model applications.
- Understand what a flow is in prompt flow.
- Explore the core components when working with prompt flow.
- Lab: Get started with prompt flow
Develop a RAG-based solution with your own data using Azure AI Foundry
- Identify the need to ground your language model with Retrieval Augmented Generation (RAG)
- Index your data with Azure AI Search to make it searchable for language models
- Build an agent using RAG on your own data in the Azure AI Foundry portal
- Lab: Create a generative AI app that uses your own data