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  • Embeddings

Results for "embeddings"


  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Fundamentals of NLP and Transformers

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Generative AI, Large Language Modeling, Token Optimization, Embeddings, Generative Model Architectures, Data Preprocessing, Data Pipelines, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    D

    DeepLearning.AI

    Open Source Models with Hugging Face

    Skills you'll gain: Hugging Face, LLM Application, Generative AI, Embeddings, Model Deployment, Cloud Deployment, Natural Language Processing, Large Language Modeling, Applied Machine Learning, Image Analysis, User Interface (UI), API Design, Fine-tuning, Computer Vision

    4.8
    Rating, 4.8 out of 5 stars
    ·
    156 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    DeepLearning.AI

    LangChain Chat with Your Data

    Skills you'll gain: Retrieval-Augmented Generation, LangChain, LLM Application, Large Language Modeling, Embeddings, Data Processing, Data Store, Data Access, Vector Databases, Prompt Engineering, Document Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    683 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    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

  • D

    Duke University

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, OpenAI API, Data Import/Export, Pandas (Python Package), Generative AI, Application Programming Interface (API), Large Language Modeling, Data Processing, Data Management, Python Programming, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    51 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

    Coursera

    Vector Database Foundations and Core Concepts

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Face Recognition with Keras: Detect & Classify

    Skills you'll gain: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Data Preprocessing, Deep Learning, Artificial Neural Networks, Embeddings, Model Deployment, Application Deployment, Model Training, Classification Algorithms, Supervised Learning, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Applied NLP and Generative AI

    Skills you'll gain: Prompt Engineering, Vector Databases, Retrieval-Augmented Generation, Fine-tuning, Model Evaluation, Hugging Face, Generative AI, Dimensionality Reduction, Model Optimization, Natural Language Processing, OpenAI API, Data Preprocessing, Embeddings, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    C

    Coursera

    Transfer Learning for NLP with TensorFlow Hub

    Skills you'll gain: Transfer Learning, Fine-tuning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Model Training, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    181 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    B

    Board Infinity

    Building Applications with DeepSeek

    Skills you'll gain: DeepSeek API, Deepseek, User Interface (UI), LLM Application, AI Workflows, AI Integrations, Human Computer Interaction, Agentic Workflows, Retrieval-Augmented Generation, AI Product Strategy, Embeddings, Application Deployment, Case Studies

    4
    Rating, 4 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Introduction to Generative AI: Concepts and Techniques

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Prompt Patterns, Generative Model Architectures, Large Language Modeling, AI Security, Open Source Technology, Responsible AI, Embeddings, Fine-tuning, Natural Language Processing

    Mixed · Course · 1 - 4 Weeks

1…789…33

In summary, here are 10 of our most popular embeddings courses

  • NVIDIA: Fundamentals of NLP and Transformers: Whizlabs
  • Open Source Models with Hugging Face: DeepLearning.AI
  • LangChain Chat with Your Data: DeepLearning.AI
  • Agentic AI Foundations: Build RAG & MCP Chatbots: LearnKartS
  • Introduction to Retrieval Augmented Generation (RAG): Duke University
  • Vector Database Foundations and Core Concepts: Coursera
  • Face Recognition with Keras: Detect & Classify: EDUCBA
  • Applied NLP and Generative AI: Packt
  • Transfer Learning for NLP with TensorFlow Hub: Coursera
  • Building Applications with DeepSeek: Board Infinity

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