Embeddings Courses and Certifications

Fundamentals of Gen AI Retrieval Dynamics

Explore how retrieval systems work in Gen AI, covering embeddings, similarity, chunking, reranking, and diagnostics to design, debug, and improve RAG-based systems with strong mental models.

• Coursera
• 4 hours 40 minutes
• Self-Paced
• Paid Course

Coursera

Launch Chroma Fast

Master Chroma vector database setup and similarity search for RAG applications through hands-on labs with 2,000+ documents in under 2 hours.

• Coursera
• 1 hour 48 minutes
• Self-Paced
• Paid Course

Coursera

Unlock Multimodal Search

Explore how to build AI-powered multimodal search using Weaviate, enabling cross-modal queries across images and text, while measuring accuracy with precision metrics.

• Coursera
• 1 hour 16 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

HelixDB From Zero

Explore HelixDB, a Rust-native graph and vector engine, mastering HelixQL schema design, graph traversal, vector search, hybrid-RAG patterns, and typed Rust client integration in one unified process.

• Coursera
• 1 hour
• Self-Paced
• Paid Course

Build & Test AI Agents, ChatBot, RAG with Ollama & Local LLM

968 ratings at Udemy

Learn Building and Testing AI Agent, ChatBot, RAG with LangChain v1.0.3 and LangSmith using Ollama and Local LLMs

• Udemy
• 13 hours 7 minutes
• Self-Paced
• Paid Course

Langchain for beginners : Build GenAI LLM Apps in Easy Steps

855 ratings at Udemy

Master LangChain fundamentals and build AI applications using OpenAI and open-source LLMs. Learn prompt engineering, RAG implementation, multi-modal analysis, and create Streamlit apps through hands-on practice.

• Udemy
• 4 hours 49 minutes
• Self-Paced
• Paid Course

OpenAI, GPT, ChatGPT and DALL-E Masterclass

837 ratings at Udemy

Everything from No-Code, through to fine-tuning & embedding with code examples in multiple programming languages.

• Udemy
• 4 hours 43 minutes
• Self-Paced
• Paid Course

James Briggs

Intro to Sentence Embeddings with Transformers

Learn to create and apply sentence embeddings using transformers for semantic similarity tasks, exploring models like BERT and GPT for advanced natural language processing applications.

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

Abhishek Thakur

Entity Embeddings for Categorical Variables

Learn to implement entity embeddings for categorical variables using TensorFlow/Keras, with a focus on converting the model to PyTorch. Practical application using Kaggle competition data.

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

Software Engineering Courses - SE Courses

How to Do Stable Diffusion Textual Inversion - Text Embeddings by Automatic1111 Web UI Tutorial

Comprehensive guide to Stable Diffusion Textual Inversion: training process, settings optimization, dataset preparation, and embedding usage for personalized AI image generation.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Olivio Sarikas

Offset Noise for Stable Diffusion - Model, LORA and Embeddings

Explore Offset Noise in Stable Diffusion to create dramatic lighting and high dynamic range in AI-generated images. Learn about Illuminati Diffusion v1.1 model and epi_noiseoffset LORA for enhanced artistic results.

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

Yannic Kilcher

OpenAI Embeddings and Controversy

Explore OpenAI's new embeddings API, its performance claims, and controversies. Analyze comparisons with open-source models, pricing strategies, and real-world applications of text and code embeddings.

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

Yannic Kilcher

Text Embeddings Reveal Almost As Much As Text - Iterative Embedding Inversion

Explore how text embeddings can potentially reconstruct original text, discussing methods, implications, and prevention strategies for this emerging privacy concern in natural language processing.

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

Shaw Talebi

Text Embeddings, Classification, and Semantic Search with Python Code

Explore text embeddings for classification and semantic search with Python. Learn to transform text into computable vectors for powerful NLP applications.

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

Steve Brunton

TOTEM - Tokenized Time Series Embeddings for General Time Series Analysis

Discover how TOTEM revolutionizes time series analysis through tokenized embeddings, enabling unified modeling across multiple domains and tasks with minimal tuning requirements.

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