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Vector Databases Courses and Certifications

Master vector databases for AI applications, focusing on embeddings storage, similarity search, and RAG implementation. Build production-ready systems using Pinecone, Chroma DB, and Weaviate through hands-on courses on Coursera, LinkedIn Learning, and DataCamp designed for developers working with LLMs.

871 courses
Related Subjects
  1. Data Science Courses
  2. Big Data Courses
  3. Information Retrieval Courses
  4. Databases Courses
  5. Artificial Intelligence Courses
  6. Linear Algebra Courses
  7. Distributed Training Courses
  8. Similarity Search Courses
Best Courses Guides

9 Best Vector Database Courses for 2026: Build RAG Apps and Semantic Search

Vector databases are the memory layer behind RAG apps, semantic search, and AI retrieval systems. We evaluated dozens of courses to find the best, with free and paid options across Pinecone, Weaviate, Qdrant, and ChromaDB.

Read the Guide
  1. IBM

    Vector Database Fundamentals
  2. Packt

    Essential Concepts of Vector Databases
  3. Pragmatic AI Labs

    Advanced Data Engineering
  4. Packt

    Vector Databases Deep Dive
  5. DeepLearning.AI

    Natural Language Processing
  6. DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    2 reviews
  7. DeepLearning.AI

    Building Applications with Vector Databases
  8. DeepLearning.AI

    Large Language Models with Semantic Search

  9. Vector Databases Professional Certificate by Weaviate

  10. Vector Databases for Embeddings with Pinecone

All Vector Databases Courses

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    • Coursera
    • 2 hours 48 minutes
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    • 1 hour 37 minutes
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    • 1 hour 53 minutes
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    • 13 weeks, 1 hour a week
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    • 1 day 4 hours 15 minutes
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    • 2 hours 26 minutes
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    • 1 hour 53 minutes
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    • 4 hours 56 minutes
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    • 1 day 59 minutes
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    • 8 hours 44 minutes
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    • 1 day 4 hours 2 minutes
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    • Udemy
    • 7 hours 23 minutes
    • Self-Paced
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