Embeddings & Semantic Search
Free Intermediate course · 10 lessons · 2 weeks · Certificate on completion
Build search that understands meaning: embedding choice, chunking, ranking, and evaluation. Across 10 lessons you'll move from fundamentals to a portfolio-ready outcome — at your own pace, with quizzes after each lesson and a final exam to certify your mastery.
What you'll learn
- What an embedding represents
- Choosing an embedding model
- Chunking strategies that work
- Similarity and ranking
- Hybrid search with keywords
- Re-ranking results
Skills you'll pick up
- What an embedding represents
- Choosing an embedding model
- Chunking strategies that work
- Similarity and ranking
- Hybrid search with keywords
- Re-ranking results
Tools covered
- Embeddings
- Real-world projects
- Quizzes
- Final exam
Course modules
Module 1: What an embedding represents
Module 1 of Embeddings & Semantic Search. 3 lessons · 3h
Module 2: Choosing an embedding model
Module 2 of Embeddings & Semantic Search. 3 lessons · 3h
Module 3: Chunking strategies that work
Module 3 of Embeddings & Semantic Search. 3 lessons · 3h
Module 4: Similarity and ranking
Module 4 of Embeddings & Semantic Search. 1 lessons · 1h
Lessons in this course
- What an embedding represents
- Choosing an embedding model
- Chunking strategies that work
- Similarity and ranking
- Hybrid search with keywords
- Re-ranking results
- Handling multilingual content
- Evaluating search quality
- Updating and reindexing
- Shipping semantic search
Instructor
Marcus Reid — Machine Learning Engineer
Marcus Reid is a Machine Learning Engineer with years of hands-on experience teaching Embeddings to thousands of learners worldwide.
Certificate
Finish every lesson and pass the final exam to earn a free, verifiable Learnera certificate for Embeddings & Semantic Search. It can be downloaded as a PDF and shared on LinkedIn.
Career outcomes
Median global salary $125,000 per year · median India salary ₹17,50,000 per year · 105,804 open roles worldwide
- Embeddings Specialist
- Senior Embeddings Lead
- Embeddings Consultant
Frequently asked questions
Is the Embeddings & Semantic Search course free?
Yes. Every Learnera course, including Embeddings & Semantic Search, is completely free — lessons, quizzes, the final exam, and the certificate.
How long does Embeddings & Semantic Search take?
10 lessons, typically completed in 2 weeks at a comfortable pace.
Do I get a certificate?
Yes — pass the final exam and you receive a free, verifiable certificate you can share on LinkedIn.