information Retrieval Course
This hands-on course teaches building effective search systems, from keyword methods like TF-IDF and BM25 to advanced semantic search with embeddings and ANN indexing. Learn to analyze data, model user intent, evaluate relevance using precision@5, and optimize through A/B testing and learning-to-rank.
flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This Information Retrieval Course provides a quick, hands-on way to create effective search systems. You'll start with basic keyword approaches, TF-IDF, and BM25, then move on to semantic search using embeddings, ANN, and efficient indexing. You'll learn to examine datasets, understand user needs, create test searches, assess relevance, measure precision@5, and make real enhancements through monitoring, A/B testing, and introductory learning-to-rank techniques.
Elevify advantages
Develop skills
- Build semantic search: create embedding indexes for quick and accurate results.
- Implement TF-IDF and BM25: adjust ranking models to improve search accuracy.
- Analyze search data: examine tags, content areas, and quality to boost recall.
- Model user intent: develop practical queries and link them to suitable resources.
- Evaluate search quality: conduct A/B tests, mark relevance, and measure precision@5.
Suggested summary
Before starting, you can change the chapters and 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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