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  • Vector Databases

Results for "vector databases"


  • Status: Free Trial
    Free Trial
    I

    IBM

    Vector Database Fundamentals

    Skills you'll gain: Vector Databases, Hugging Face, MongoDB, Embeddings, NoSQL, AI Personalization, Artificial Intelligence, PostgreSQL, Relational Databases, Database Management Systems, Generative AI, Operational Databases, SQL, Databases, Database Systems, LLM Application, Query Languages, Applied Machine Learning, Machine Learning, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    74 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Vector Databases: An Introduction with Chroma DB

    Skills you'll gain: Vector Databases, Embeddings, Database Management Systems, Generative AI, Operational Databases, Databases, Database Systems, LLM Application, AI Personalization, NoSQL, Database Management, Development Environment

    4.5
    Rating, 4.5 out of 5 stars
    ·
    50 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Vector Databases for RAG: An Introduction

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Database Systems, LLM Application, Data Storage Technologies, Database Management Systems, AI Enablement, Large Language Modeling, Database Management, Database Architecture and Administration, Generative AI

    4.6
    Rating, 4.6 out of 5 stars
    ·
    89 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Vector DB Foundations, Embeddings & Search Algorithms

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Data-Driven Decision-Making, Applied Machine Learning, Image Analysis, LLM Application, Model Optimization, Data Flow Diagrams (DFDs), Database Theory, Docker (Software), Prompt Engineering, Database Design, NumPy, AI Integrations, Databases, Scikit Learn (Machine Learning Library), Semantic Web, Simulations, Python Programming

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Vector Databases: from Embeddings to Applications

    Skills you'll gain: Vector Databases, Embeddings, Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Algorithms, Semantic Web

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    DeepLearning.AI

    Building Applications with Vector Databases

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Anomaly Detection, Embeddings, LLM Application, Database Application, Large Language Modeling, Generative AI, Image Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    19 reviews

    Beginner · Project · Less Than 2 Hours

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    IBM

    Advanced RAG with Vector Databases and Retrievers

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, LLM Application, User Interface (UI), Embeddings, Large Language Modeling, UI Components, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    68 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Development Environment, OpenAI API, AI Integrations, Large Language Modeling, Database Management Systems, Databases, OpenAI, Artificial Intelligence, System Configuration

    4.7
    Rating, 4.7 out of 5 stars
    ·
    64 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Knowledge Graphs for RAG

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, LangChain, Large Language Modeling, Embeddings, Prompt Engineering, Query Languages, Vector Databases, Data Storage, Unstructured Data, Graph Theory

    4.8
    Rating, 4.8 out of 5 stars
    ·
    98 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Vector Databases for Machine Learning: A Comprehensive Guide

    Skills you'll gain: Vector Databases, Retrieval-Augmented Generation, Embeddings, Performance Tuning, Applied Machine Learning, LangChain, Document Management, Docker (Software), Agentic systems, Generative AI, Generative Model Architectures, Model Deployment, LLM Application, Technical Communication, Multimodal Prompts, Search Engine Optimization, Metadata Management, Data Pipelines, Machine Learning, Data Migration

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Databases for Data Scientists

    Skills you'll gain: Database Design, SQL, Database Management Systems, NoSQL, Relational Databases, Data Warehousing, Database Theory, Database Systems, Database Architecture and Administration, Databases, Database Software, Database Administration, Data Store, Database Management, Data Modeling, Query Languages, Big Data, Data Architecture, Database Application, Database Development

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • P

    Packt

    Vector Databases Deep Dive

    Skills you'll gain: Database Systems, Database Management Systems, Database Theory, Databases, Data Storage Technologies, Dimensionality Reduction, Anomaly Detection, Scalability, Algorithms

    Intermediate · Course · 1 - 3 Months

1234…139

In summary, here are 10 of our most popular vector databases courses

  • Vector Database Fundamentals: IBM
  • Vector Databases: An Introduction with Chroma DB: IBM
  • Vector Databases for RAG: An Introduction: IBM
  • Vector DB Foundations, Embeddings & Search Algorithms: Coursera
  • Vector Databases: from Embeddings to Applications: DeepLearning.AI
  • Building Applications with Vector Databases: DeepLearning.AI
  • Advanced RAG with Vector Databases and Retrievers: IBM
  • Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases: Scrimba
  • Knowledge Graphs for RAG: DeepLearning.AI
  • Vector Databases for Machine Learning: A Comprehensive Guide: Coursera

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