Course · Intermediate
Understanding Embeddings
Embeddings are the foundation of modern AI systems, transforming text into numerical representations that capture semantic meaning. Whether you're building search engines, RAG applications, or AI agents with memory, understanding how to generate, visualize, and compare embeddings is essential. This course provides a practical introduction to embeddings, from generating them with open models and APIs to measuring similarity and building semantic search systems.
- Intermediate friendly
- 6 hrs
- 3 lessons
- Premium
Course overview
Learn how embeddings capture semantic meaning beyond keywords and power modern AI systems including search, RAG, and agent memory.
What's inside
3 lessons
- 01 120 minUnderstanding, Generating, and Visualizing Embeddings
Learn how embeddings capture meaning beyond keywords. Generate, visualize, and use them to power AI search, RAG, and agent memory.
- 02 120 minMeasuring Similarity and Distance between Embeddings
Learn how to measure embedding similarity and build a semantic search engine that finds results by meaning, not just keywords.
- 03 120 minGenerating Embeddings with APIs and Open Models
Explore embeddings for smarter AI search, see data projects from SQL to fintech apps, and learn how design shapes trust in charts.
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