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  • Embeddings

Results for "embeddings"


  • C

    Coursera

    Vector Database Foundations and Core Concepts

    Skills you'll gain: Vector Databases, Embeddings, Generative AI, AI Workflows, Retrieval-Augmented Generation, Database Design, Database Systems, Model Optimization, Unstructured Data, Performance Tuning, Machine Learning Methods, Dimensionality Reduction, Model Evaluation, Scalability, Machine Learning

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Gen AI Foundational Models for NLP & Language Understanding

    Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Generative Model Architectures, Transfer Learning, Model Optimization, Responsible AI, Data Ethics, Text Mining, Model Training, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Feature Engineering

    ★ 4.4 (197) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Vector Database Projects: AI Recommendation Systems

    Skills you'll gain: Vector Databases, Hugging Face, AI Personalization, Artificial Intelligence, Embeddings, Natural Language Processing, Feature Engineering, MongoDB

    ★ 4.2 (14) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Project: Generative AI Applications with RAG and LangChain

    Skills you'll gain: Vector Databases, LLM Application, Retrieval-Augmented Generation, Generative AI, Embeddings, Document Management, Fine-tuning, User Interface (UI)

    ★ 4.8 (238) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • L

    LearnKartS

    Agentic AI Foundations: Build RAG & MCP Chatbots

    Skills you'll gain: Agentic systems, Retrieval-Augmented Generation, Google Gemini, Agentic Workflows, Generative AI Agents, Node.JS, OpenAI API, Model Context Protocol, Prompt Engineering, LLM Application, Development Environment, AI Integrations, AI Workflows, Angular, Generative AI, Large Language Modeling, Tool Calling, Server Side, Embeddings, Frontend Integration

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Recommendation Systems on Google Cloud

    Skills you'll gain: Reinforcement Learning, Google Cloud Platform, AI Personalization, Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Unsupervised Learning, Artificial Neural Networks, Embeddings

    ★ 4.5 (484) · Advanced · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • L

    LearnKartS

    Advanced Agentic AI: Production Data Architecture

    Skills you'll gain: Prompt Engineering, Agentic Workflows, MongoDB, Retrieval-Augmented Generation, Vector Databases, Generative AI Agents, Scalability, Model Context Protocol, Context Engineering, Data Architecture, Systems Design, Tool Calling, System Design and Implementation, Development Environment, Embeddings, PostgreSQL, Database Design, Object-Relational Mapping, Data Modeling, SQL

    Advanced · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Créer des embeddings et utiliser la recherche vectorielle et le RAG avec BigQuery

    Skills you'll gain: Retrieval-Augmented Generation, Generative AI, Gemini, Google Gemini, Vector Databases, Embeddings, Data Pipelines, Google Cloud Platform

    Advanced · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Validate LLM Embeddings for Production Use

    Skills you'll gain: Embeddings, Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Anomaly Detection, Vector Databases, LLM Application, System Monitoring, Verification And Validation, Data Quality, Legal Technology, Semantic Web, Large Language Modeling, Data Validation, Continuous Monitoring, Performance Testing, Data Manipulation, Dimensionality Reduction, Cost Reduction

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Harnessing LLMs & Text-Embeddings API with Google Vertex AI

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Google Cloud Platform, Embeddings, Cloud API, Application Programming Interface (API), Unsupervised Learning, Natural Language Processing, Classification Algorithms, Development Environment, Scalability

    Intermediate · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • P

    Packt

    NLP – Embeddings & Text Preprocessing in Python

    Skills you'll gain: Data Preprocessing, Embeddings, Text Mining, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Development Environment, Software Installation

    Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Crea embeddings, búsqueda de vectores y RAG con BigQuery

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Gemini, Embeddings, Google Gemini, Vector Databases, Large Language Modeling, AI Workflows, Google Cloud Platform

    Advanced · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
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In summary, here are 10 of our most popular embeddings courses

  • Vector Database Foundations and Core Concepts: Coursera
  • Gen AI Foundational Models for NLP & Language Understanding: IBM
  • Vector Database Projects: AI Recommendation Systems: IBM
  • Project: Generative AI Applications with RAG and LangChain: IBM
  • Agentic AI Foundations: Build RAG & MCP Chatbots: LearnKartS
  • Recommendation Systems on Google Cloud: Google Cloud
  • Advanced Agentic AI: Production Data Architecture: LearnKartS
  • Créer des embeddings et utiliser la recherche vectorielle et le RAG avec BigQuery: Google Cloud
  • Validate LLM Embeddings for Production Use: Coursera
  • Harnessing LLMs & Text-Embeddings API with Google Vertex AI: Packt

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