Building RAG Solutions with Azure AI Studio

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1:23:42

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01 - Introduction

01 - Create a RAG solution with little coding.mp4

00:38

02 - 1. Fundamentals of RAG

01 - The basics of RAG Adding custom data to your LLM.mp4

02:40

02 - Understanding tokens A key factor of costs in your system.mp4

02:39

03 - Vector embeddings How words connect to each other.mp4

03:28

04 - How RAG works Understanding the process under the hood.mp4

02:38

05 - RAG high-level architecture The required components.mp4

02:35

03 - 2. Introduction to Azure AI Studio

01 - Azure AI Studio overview Deploy at scale in a safe, secure, and responsible way.mp4

04:08

02 - Navigating the Azure AI Studio.mp4

03:40

03 - Creating a project in Azure AI Studio.mp4

04:12

04 - 3. Setting Up Azure AI Studio

01 - Understanding content filters.mp4

04:21

02 - Creating content filters.mp4

02:38

03 - Creating model deployments.mp4

03:20

04 - Navigating the Playground.mp4

02:54

05 - Using the Playground and its settings.mp4

04:09

05 - 4. Creating an Index for RAG Using Azure

01 - Creating an index using Azure AI Studio.mp4

02:47

02 - Creating an index using Azure AI Search.mp4

02:34

03 - Understanding retrieval and relevance in Azure AI Search.mp4

04:16

04 - Testing your index in the Playground.mp4

02:19

06 - 5. Introduction to Azure Prompt Flow

01 - Understanding prompt flow.mp4

02:45

02 - Create a sample prompt flow for RAG.mp4

03:09

03 - Evaluation and monitoring metrics.mp4

02:21

04 - Perform evaluations on your RAG system.mp4

01:55

07 - 6. Deploying a RAG Solution

01 - Deploying the RAG solution using prompt flow.mp4

02:30

02 - Testing the REST endpoint using Postman.mp4

02:08

03 - Deploying the REST endpoint to Copilot Studio and Microsoft Teams.mp4

05:08

08 - Conclusion

01 - Key takeaways.mp4

03:00

02 - Additional learning.mp4

04:50

Description

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.

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