information Retrieval Course
This course equips learners with practical skills in building and evaluating high-quality search systems, from traditional keyword methods to advanced semantic retrieval techniques.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
This Information Retrieval Course provides a quick, practical route to developing high-quality search. You will investigate baseline keyword techniques, TF-IDF, and BM25, then progress to semantic retrieval using embeddings, ANN, and scalable indexing. Learn to examine datasets, model user intent, create test queries, label relevance, compare precision@5, and plan actual enhancements with monitoring, A/B tests, and basics of learning-to-rank.
Elevify advantages
Develop skills
- Build semantic search: design embedding indexes for fast, relevant results.
- Implement TF-IDF and BM25: tune ranking models for higher search precision.
- Analyze search data: explore tags, content fields, and quality to refine recall.
- Model user intent: craft realistic queries and map them to the right resources.
- Evaluate search quality: run A/B tests, label relevance, and compare precision@5.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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