وصف الدورة

Welcome to this course This course is Mastering Vector Databases for AI Applications in Arabic by Eng/Mohammed Agoor. In this course, we are going on a journey to discover vector databases like (pinecone, Qdrant) and how to get the best benefit from them via end-to-end projects for building semantic search engines and image search engines from scratch up to deployment and testing. What we learn here is a lot, We will start by discussing the vector databases and their benefits, review embeddings for text data and feature extraction for images, then we will dive into the pinecone vector database and use it for building an end-to-end semantic search engine and an end-to-end image search engine. Then we will dive into another great vector database (Qdrant) and use it also for the same projects. Are you ready to take your AI skills to the next level? This course is designed to equip you with the knowledge and hands-on experience needed to build semantic search engines and image search engines from scratch to deployment and testing. What are the requirements or prerequisites for taking your course? 1. Python programming language 2. Basic knowledge of machine and deep learning 3. Basic knowledge of deployment (optional)