300+ Embeddings Online Courses for 2025 | Explore Free Courses & Certifications

OpenAI API: Embeddings

Learn Embeddings and Vector Databases

Samuel Chan

Understanding Embeddings in Large Language Models - LlamaIndex and Chroma DB

Data Science Dojo

Unlock the Power of Embeddings with Vector Search - Future of Data & AI - Data Science Dojo

MLOps.community

Embeddings and Retrieval for LLMs: Techniques and Challenges

Trelis Research

Embeddings vs Fine-Tuning - Part 1: Understanding and Implementing Embeddings

Google Cloud Tech

Unlocking Innovative Generative AI Use Cases with Text and Multimodal Embeddings

Discover AI

Evaluating LLM Embeddings for Information Retrieval and Multilingual Applications

echohive

Open Source Multi-Modal RAG with ChromaDB Using OpenCLIP Embeddings

Toronto Machine Learning Series (TMLS)

Troubleshooting Unstructured Data with Embeddings

Anyscale

Embeddings and Vectors: The Key to Production AI

Open Data Science

Text and Code Embeddings: Applications and Advancements - Lecture

SF Python

Embeddings - What They Are and Why They Matter

The Machine Learning Engineer

Building and Using Embeddings in Machine Learning Operations

Text Representation Techniques for RAG Systems

Embeddings Courses and Certifications

10 Best Courses to Master Embeddings and Transformer Models in 2025

Gen AI Foundational Models for NLP & Language Understanding

Building Agentic RAG with LlamaIndex

Large Language Models with Semantic Search

Retrieval Optimization: Tokenization to Vector Quantization

Create Embeddings, Vector Search, and RAG with BigQuery

Create Embeddings, Vector Search, and RAG with BigQuery

Create Embeddings, Vector Search, and RAG with BigQuery

Basic to Advanced: Retreival-Augmented Generation (RAG)

Transformer Models with PyTorch

All Embeddings Courses

OpenAI API: Embeddings

Learn Embeddings and Vector Databases

Understanding Embeddings in Large Language Models - LlamaIndex and Chroma DB

Unlock the Power of Embeddings with Vector Search - Future of Data & AI - Data Science Dojo

Embeddings and Retrieval for LLMs: Techniques and Challenges

Embeddings vs Fine-Tuning - Part 1: Understanding and Implementing Embeddings

Unlocking Innovative Generative AI Use Cases with Text and Multimodal Embeddings

Evaluating LLM Embeddings for Information Retrieval and Multilingual Applications

Open Source Multi-Modal RAG with ChromaDB Using OpenCLIP Embeddings

Troubleshooting Unstructured Data with Embeddings

Embeddings and Vectors: The Key to Production AI

Text and Code Embeddings: Applications and Advancements - Lecture

Embeddings - What They Are and Why They Matter

Building and Using Embeddings in Machine Learning Operations

Text Representation Techniques for RAG Systems

Embeddings Courses and Certifications

10 Best Courses to Master Embeddings and Transformer Models in 2025

Gen AI Foundational Models for NLP & Language Understanding

Building Agentic RAG with LlamaIndex

Large Language Models with Semantic Search

Retrieval Optimization: Tokenization to Vector Quantization

Create Embeddings, Vector Search, and RAG with BigQuery

Create Embeddings, Vector Search, and RAG with BigQuery

Create Embeddings, Vector Search, and RAG with BigQuery

Basic to Advanced: Retreival-Augmented Generation (RAG)

Transformer Models with PyTorch

All Embeddings Courses

OpenAI API: Embeddings

Learn Embeddings and Vector Databases

Understanding Embeddings in Large Language Models - LlamaIndex and Chroma DB

Unlock the Power of Embeddings with Vector Search - Future of Data & AI - Data Science Dojo

Embeddings and Retrieval for LLMs: Techniques and Challenges

Embeddings vs Fine-Tuning - Part 1: Understanding and Implementing Embeddings

Unlocking Innovative Generative AI Use Cases with Text and Multimodal Embeddings

Evaluating LLM Embeddings for Information Retrieval and Multilingual Applications

Open Source Multi-Modal RAG with ChromaDB Using OpenCLIP Embeddings

Troubleshooting Unstructured Data with Embeddings

Embeddings and Vectors: The Key to Production AI

Text and Code Embeddings: Applications and Advancements - Lecture

Embeddings - What They Are and Why They Matter

Building and Using Embeddings in Machine Learning Operations

Text Representation Techniques for RAG Systems