Mastering Vector Databases for AI Applications | Arabic

Learn Vector Databases (pinecone & qdrant) in detail for image search and semantic search engines, End-to-End projects.
4.94 (16 reviews)
Udemy
platform
العربية
language
Data Science
category
instructor
Mastering Vector Databases for AI Applications | Arabic
568
students
7 hours
content
Sep 2023
last update
$22.99
regular price

Why take this course?

🎓 Mastering Vector Databases for AI Applications in Arabic 🚀


Course Introduction:

Welcome to this enlightening course on Mastering Vector Databases for AI Applications, tailored specifically in Arabic by the esteemed instructor Eng/Mohammed Agoor!


What to Expect:

In this comprehensive course, we embark on an exciting adventure to master vector databases like pinecone and Qdrant. These powerful tools are essential for creating sophisticated semantic search engines and image search engines from the ground up, all the way through to deployment and rigorous testing.


Your Learning Journey:

We'll dive deep into the world of vector databases, starting with their advantages, understanding embeddings for text data, and mastering feature extraction for images. You'll gain hands-on experience by building end-to-end projects using both pinecone and Qdrant, two of the most popular vector databases in the industry.


Key Takeaways:

Through a series of engaging and informative modules, you'll cover an array of critical concepts and techniques:

  • Vector Databases & Their Benefits 📊
  • Embeddings for Text Data & Image Feature Extraction 📝✏️
  • Pinecone Vector Database & Cloud Service ☁️
  • Pinecone Pricing Estimator & Project Setup 💲
  • Connecting to Pinecone & Semantic Search Engine Project 🔗✨
  • Utilizing Pinecone Functions (upsert, delete, update, fetch, query) 🚀
  • Deployment of Semantic Search with Pinecone Project Using FastAPI 🚀🏭
  • Endpoints for Semantic & Image Search with Pinecone 🔄🖥️
  • Qdrant Vector Database, Cluster & Collection Definitions 🛠️
  • Connecting to Qdrant & Dashboard Navigation 🤝✨
  • Semantic Search Project Using Qdrant 🔍✨
  • Deployment of Semantic Search with Qdrant Project Using FastAPI 🚀🏭
  • Endpoints for Semantic & Image Search with Qdrant 🔄🖥️

Why Enroll?

This course is designed for AI enthusiasts, developers, and data scientists who aspire to leverage vector databases in their AI applications. By completing this course, you'll be equipped with the knowledge and practical skills required to build state-of-the-art semantic search engines and image search engines from scratch to full deployment.


Ready to Take Your Skills to the Next Level?

Don't miss out on this opportunity to master vector databases for AI applications! 🌟


Join the Learning Revolution Today!

Embark on a learning journey that will empower you and set you on the path to becoming an expert in utilizing vector databases for cutting-edge AI projects. Enroll now and transform your AI career! 🎉


Enroll in "Mastering Vector Databases for AI Applications" today and unlock the full potential of AI applications with vector databases! 🎓🚀

Course Gallery

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Screenshot 1Mastering Vector Databases for AI Applications | Arabic
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Screenshot 2Mastering Vector Databases for AI Applications | Arabic
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Screenshot 3Mastering Vector Databases for AI Applications | Arabic
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Screenshot 4Mastering Vector Databases for AI Applications | Arabic

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5456408
udemy ID
21/07/2023
course created date
31/08/2023
course indexed date
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