Exercise- Explore the Azure AI Extension | | Full Tutorial скачать в хорошем качестве

Exercise- Explore the Azure AI Extension | | Full Tutorial

🚀 Unlock the Power of AI in Your Database! In this hands-on tutorial, you’ll learn how to integrate Azure AI services directly into Azure Database for PostgreSQL using the azure_ai extension. Whether you’re a developer, data engineer, or AI enthusiast, this video will guide you through building an AI-powered rental property recommendation system for Margie’s Travel—from setup to production! What You’ll Learn: Deploy Azure resources (PostgreSQL, OpenAI, AI Language) via Bicep scripts. Install and configure the azure_ai extension for GenAI workflows. Generate embeddings with Azure OpenAI for semantic search. Perform sentiment analysis, language detection, and PII recognition using Azure AI Language. Explore Azure ML integration for model inference. Secure your AI settings with role-based access control. Step-by-Step Labs Covered: 1. Setup: Clone the repo, generate passwords, and deploy resources with Azure CLI. 2. Database Connection: Use psql in Azure Cloud Shell to connect to PostgreSQL. 3. Data Population: Load sample rental listings and reviews from CSV files. 4. Azure AI Extension: Install azure_ai and configure endpoints and keys for OpenAI and Cognitive Services. 5. Embeddings: Create vector embeddings for property descriptions using azure_openai.create_embeddings(). 6. Sentiment Analysis: Analyze customer reviews with azure_cognitive.analyze_sentiment(). 7. Cleanup: Delete resources to avoid costs. Key Features Demonstrated: Natural Language Processing: Translate text into embeddings and analyze sentiments. Real-World Use Case: Build a travel recommendation engine. Security Best Practices: Manage secrets via azure_ai.settings table. Troubleshooting Tips: Handle deployment errors and region restrictions. Audience: Developers building AI-enhanced apps. Data engineers exploring PostgreSQL and AI workflows. Anyone preparing for Azure certifications (DP-900, AI-102). Resources: Code: GitHub Repo Bicep Scripts: Automated resource deployment. Sample Data: Listings and reviews CSV files. Prerequisites: Azure subscription (free trial available). Basic knowledge of PostgreSQL and Azure. Why Watch? No more switching between apps—run AI directly in your database! Boost query capabilities with OpenAI embeddings and Cognitive Services. Learn to troubleshoot common issues (e.g., region limits, RAI terms). Subscribe for more Azure AI tutorials! Hit the bell icon to stay updated. Tags: #PostgreSQL #AzureAI #OpenAI #DatabaseTutorial #AIIntegration #AzureDatabase #CloudComputing #DataScience #Embeddings #SentimentAnalysis #MicrosoftLearn #TechTraining