Welcome to this hands-on AI-900 lab session, where we dive into Knowledge Mining with Azure AI Search! 💡 In today's data-driven world, extracting valuable insights from unstructured data is crucial. Azure AI Search helps businesses unlock hidden knowledge from documents, images, and databases using AI-powered search, OCR, natural language processing (NLP), and machine learning.
This tutorial provides a step-by-step walkthrough on implementing knowledge mining using Azure AI Search to enhance searchability, data discovery, and enterprise applications.
🔍 What You’ll Learn in This Video:
1️⃣ Introduction to Knowledge Mining & Its Use Cases
2️⃣ Understanding Azure AI Search & Its Capabilities
3️⃣ Building an AI-Powered Search Index in Azure
4️⃣ Integrating OCR, NLP, and Cognitive Skills for Advanced Insights
5️⃣ Enhancing Enterprise Search with AI-Driven Relevance Ranking
6️⃣ Deploying & Optimizing Knowledge Mining Solutions
🛠️ Who Is This For?
AI & ML Enthusiasts exploring AI-powered search & analytics
Developers & data scientists working on knowledge discovery solutions
Professionals preparing for the Microsoft AI-900 Certification
Businesses looking to enhance search & document intelligence
📌 Key Highlights:
✅ Hands-on demo of Azure AI Search & Knowledge Mining
✅ How to extract valuable insights from large data sources
✅ Using AI-driven search to improve business decision-making
✅ Best practices for optimizing search relevance & performance
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🔗 Additional Resources:
👉 Best Practices for Knowledge Mining: https://microsoftlearning.github.io/m...
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Chapters:
00:00 - 01:27 - Intro
01:27 - 06:20 - What is Knowledge mining?
06:20 - 13:25 - Create Azure resources
13:25 - 14:56 - Upload Documents to Azure Storage
14:56 - 24:47 - Index the documents
24:47 - 27:41 - Search the Index
27:41 - 30:28 - Explore and modify definitions of search components