Building RAG Solutions with Azure AI Studio

سرفصل های دوره

This in-depth course is crafted to empower you with the proficiency to effectively leverage Azure AI Studio for the creation of retrieval-augmented generation (RAG) solutions. The course begins with a systematic walkthrough of the process involved in creating a RAG solution and the fundamentals and principles of RAG, diving into the prerequisites for crafting a RAG solution in Azure AI Studio. This hands-on course with instructor Ziggy Zulueta offers demonstrations on importing and vectorizing data, and integrating this data into a deployed model, showing the process of customizing the default solution using the prompt flow feature. The course wraps up with a guide on testing and evaluating the solution, along with a practical session on testing the REST API endpoints in Postman and using the endpoint in Microsoft Teams through Copilot Studio.

01 - Introduction

01 - Create a RAG solution with little coding

02 - 1. Fundamentals of RAG

01 - The basics of RAG Adding custom data to your LLM

02 - Understanding tokens A key factor of costs in your system

03 - Vector embeddings How words connect to each other

04 - How RAG works Understanding the process under the hood

05 - RAG high-level architecture The required components

03 - 2. Introduction to Azure AI Studio

01 - Azure AI Studio overview Deploy at scale in a safe, secure, and responsible way

02 - Navigating the Azure AI Studio

03 - Creating a project in Azure AI Studio

04 - 3. Setting Up Azure AI Studio

01 - Understanding content filters

02 - Creating content filters

03 - Creating model deployments

04 - Navigating the Playground

05 - Using the Playground and its settings

05 - 4. Creating an Index for RAG Using Azure

01 - Creating an index using Azure AI Studio

02 - Creating an index using Azure AI Search

03 - Understanding retrieval and relevance in Azure AI Search

04 - Testing your index in the Playground

06 - 5. Introduction to Azure Prompt Flow

01 - Understanding prompt flow

02 - Create a sample prompt flow for RAG

03 - Evaluation and monitoring metrics

04 - Perform evaluations on your RAG system

07 - 6. Deploying a RAG Solution

01 - Deploying the RAG solution using prompt flow

02 - Testing the REST endpoint using Postman

03 - Deploying the REST endpoint to Copilot Studio and Microsoft Teams

08 - Conclusion

01 - Key takeaways

02 - Additional learning

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تولید کننده: LinkedIn Learning (Lynda)