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Mastering Generative AI with Azure AI Foundry &Prompt Flow–RAG Without Writing a Single Line of Code
🚀 Mastering Generative AI Solutions with Azure AI Foundry & Prompt Flow | Full Deployment Guide
In this step-by-step tutorial, I take you through the complete process of building a Generative AI solution using Azure AI Foundry & Prompt Flow. By the end of this video, you'll have a fully functional Document Assistant, deployed and integrated with a custom website!
In this session, we will create an end-to-end RAG application (Document Assistant) using Prompt Flow—without writing a single line of code.
🔹 What You’ll Learn in This Video:
✅ Setting Up the Environment: Creating a Resource Group, AI Studio, and Search Service
✅ Model Deployment: Deploying an AI model with Azure AI Foundry
✅ Data Management: Adding data, creating an index, and completing indexing
✅ Prompt Flow Mastery: Creating, testing, and deploying Prompt Flow
✅ API & Integration: Testing endpoints with Postman & integrating with a website
✅ Building & Publishing a Copilot: End-to-end setup and deployment
💡 Why Watch This?
Learn hands-on how to deploy Generative AI on Azure
Real-world implementation of Prompt Flow with a Document Assistant
Understand best practices for AI deployment and integration
Custom Copilot Part 5 – Custom Copilot integrate with a REST API, embed the Copilot into a website.
https://youtu.be/4Kl9_RBJWtI
Sample document link from Microsoft documentation.
https://github.com/MicrosoftLearning/mslearn-ai-studio/raw/main/data/brochures.zip
📌 **Timestamps & Chapters**
00:00 - Introduction
03:26 - 0 Explanation through a diagram
06:50 - 1 CREATE RESOURCE GROUP
08:20 - 2 CREATE AZURE AI STUDIO (Azure AI Foundry)
11:53 – 3 CREATE AZURE AI SEARCH
14:22 - 4 MODEL DEPLOYMENT
16:22 - 5 Add Data
17:26 - 6 Create Index
19:21 - 7 Indexing Done
19:49 - 8 Playground - Test model response
22:48 - 9 Prompt Flow issues
25:40 - 10 Create and test prompt flow
29:51 - 11 Prompt Flow Deployment
31:05 - 12 Prompt Flow Deployment Test
32:16 - 12 End Point testing using Postman
34:05 - 13 Create Copilot Integrate prompt flow (End Point)
41:44 - 14 End point integration with copilot test
42:24 - 15 Copilot Integration with Demo website
44:16 - 16 Copilot Integration with Custom Website
🔔 Turn on notifications so you never miss an update!
Видео Mastering Generative AI with Azure AI Foundry &Prompt Flow–RAG Without Writing a Single Line of Code канала AI & Data Science Hub
In this step-by-step tutorial, I take you through the complete process of building a Generative AI solution using Azure AI Foundry & Prompt Flow. By the end of this video, you'll have a fully functional Document Assistant, deployed and integrated with a custom website!
In this session, we will create an end-to-end RAG application (Document Assistant) using Prompt Flow—without writing a single line of code.
🔹 What You’ll Learn in This Video:
✅ Setting Up the Environment: Creating a Resource Group, AI Studio, and Search Service
✅ Model Deployment: Deploying an AI model with Azure AI Foundry
✅ Data Management: Adding data, creating an index, and completing indexing
✅ Prompt Flow Mastery: Creating, testing, and deploying Prompt Flow
✅ API & Integration: Testing endpoints with Postman & integrating with a website
✅ Building & Publishing a Copilot: End-to-end setup and deployment
💡 Why Watch This?
Learn hands-on how to deploy Generative AI on Azure
Real-world implementation of Prompt Flow with a Document Assistant
Understand best practices for AI deployment and integration
Custom Copilot Part 5 – Custom Copilot integrate with a REST API, embed the Copilot into a website.
https://youtu.be/4Kl9_RBJWtI
Sample document link from Microsoft documentation.
https://github.com/MicrosoftLearning/mslearn-ai-studio/raw/main/data/brochures.zip
📌 **Timestamps & Chapters**
00:00 - Introduction
03:26 - 0 Explanation through a diagram
06:50 - 1 CREATE RESOURCE GROUP
08:20 - 2 CREATE AZURE AI STUDIO (Azure AI Foundry)
11:53 – 3 CREATE AZURE AI SEARCH
14:22 - 4 MODEL DEPLOYMENT
16:22 - 5 Add Data
17:26 - 6 Create Index
19:21 - 7 Indexing Done
19:49 - 8 Playground - Test model response
22:48 - 9 Prompt Flow issues
25:40 - 10 Create and test prompt flow
29:51 - 11 Prompt Flow Deployment
31:05 - 12 Prompt Flow Deployment Test
32:16 - 12 End Point testing using Postman
34:05 - 13 Create Copilot Integrate prompt flow (End Point)
41:44 - 14 End point integration with copilot test
42:24 - 15 Copilot Integration with Demo website
44:16 - 16 Copilot Integration with Custom Website
🔔 Turn on notifications so you never miss an update!
Видео Mastering Generative AI with Azure AI Foundry &Prompt Flow–RAG Without Writing a Single Line of Code канала AI & Data Science Hub
RAG system Azure OpenAI Retrieval-Augmented Generation Python RAG tutorial Azure AI Search AI-powered search GPT models Text embeddings Azure Blob Storage AI development with Python Step by step tutorial azure ai search azure ai studio openai python python theory azure ai azure ai studio tutorial azure bot service azure openai copilot studio generative ai openai api openai rag openai tutorial python flask azure ai foundry
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10 февраля 2025 г. 23:30:38
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