This course gives you a clear, hands-on intro to embeddings — the core building block behind LLMs, vector search, and RAG. You’ll use Python, test similarity scores in real time, and finally understand how text becomes vectors and what those vectors actually mean. No math lectures. No hype. Just the stuff that matters.

• Embeddings explained in plain language, no fluff
• Real-time similarity testing in the interactive Embedding Playground
• Full text-to-vector process broken down with examples
• Cosine similarity and vector math implemented in Python
• Token counts, model costs, and what they mean in production

Start the course: https://learndataengineering.com/courses/enrolled/2817853

Try the free Embedding Playground:
https://andkret.github.io/embedding-playground/