information Retrieval Course
This course provides practical skills for building and optimizing search systems, from keyword-based methods to semantic retrieval and evaluation techniques.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
This Information Retrieval Course offers a quick, practical way to build high-quality search systems. You will cover basic keyword techniques, TF-IDF, and BM25, then progress to semantic retrieval using embeddings, ANN, and scalable indexing. Learn to analyse datasets, model user intent, create test queries, label relevance, compare precision@5, and implement real enhancements through monitoring, A/B tests, and fundamentals 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.
- Analyse 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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