Embeddings Courses and Certifications

Understanding Embeddings for Natural Language Processing

Discover how numerical representations transform language through text embeddings, tokenization, historical models, and modern NLP techniques with practical applications.

• openHPI
• 2 weeks
• Self-Paced
• Free Certificate

Samuel Chan

Understanding Embeddings in Large Language Models - LlamaIndex and Chroma DB

Explore embeddings in LLMs, their role in AI-powered tools, and practical applications using LlamaIndex and Chroma db. Gain insights into representing data for advanced language processing.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Learn RAG

Learn how to improve the accuracy and reliability of LLM-based apps by implementing Retrieval-augmented Generation (RAG) using embeddings and a v

• Scrimba
• 1 hour 34 minutes
• Self-Paced
• Paid Course

Data Science Dojo

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

Explore embeddings and vector search for unstructured data analysis. Learn to build semantic text and reverse image search systems using Milvus, with real-world applications and best practices.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Google Cloud Tech

Unlocking Innovative Generative AI Use Cases with Text and Multimodal Embeddings

Explore innovative generative AI applications using text and multimodal embeddings, focusing on semantic search, recommender systems, and content classification.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

MLOps.community

Embeddings and Retrieval for LLMs: Techniques and Challenges

Explore embedding-based retrieval for AI apps, including key limitations and mitigation techniques. Learn about Chroma, an open-source embedding database for LLM applications.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Trelis Research

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

Explore embedding techniques for language models, including creation, implementation, and performance evaluation. Learn key concepts like semantic search, cosine similarity, and data preparation for optimal results.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Discover AI

Evaluating LLM Embeddings for Information Retrieval and Multilingual Applications

Explore the latest evaluation of LLM embedding APIs, focusing on OpenAI and Cohere's performance in domain generalization and multilingual retrieval capabilities for information retrieval tasks.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

The Machine Learning Engineer

Building and Using Embeddings in Machine Learning Operations

Discover how to generate and utilize embeddings in machine learning, from understanding their purpose to implementing them with LLMs and specialized models.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

Open Data Science

Text and Code Embeddings: Applications and Advancements - Lecture

Explore embeddings in text and code with Dr. Neelakantan. Learn how these numerical representations revolutionize NLP tasks, outperform top models, and enhance semantic search and classification.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Toronto Machine Learning Series (TMLS)

Troubleshooting Unstructured Data with Embeddings

Explore embedding techniques for troubleshooting unstructured data models, gaining insights into internal representations and improving ML workflows.

• YouTube
• 32 minutes
• Self-Paced
• Free Video

Anyscale

Embeddings and Vectors: The Key to Production AI

Explore how teams program AI with data using embeddings and vectors, and learn about future approaches for building production AI applications.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

SF Python

Embeddings - What They Are and Why They Matter

Discover how embeddings work in machine learning, from basic concepts to practical applications in semantic search and content relationships, with hands-on examples and implementation techniques.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

echohive

Open Source Multi-Modal RAG with ChromaDB Using OpenCLIP Embeddings

Explore open-source multi-modal RAG system using ChromaDB and OpenCLIP embeddings. Learn implementation, code review, and get a preview of advanced coding techniques for AI-powered information retrieval.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Text Representation Techniques for RAG Systems

Explore essential text representation techniques for RAG systems, from Bag-of-Words to embeddings, and learn how to visualize and compare these methods for effective document retrieval and semantic search.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate