information Retrieval Course
Master modern information retrieval for tech products. Learn keyword, BM25, and semantic search with embeddings, ANN, and relevance evaluation to design high-quality search that understands user intent and scales to real-world data.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This Information Retrieval Course gives you a fast, practical path to building high-quality search. You will explore baseline keyword methods, TF-IDF, and BM25, then advance to semantic retrieval with embeddings, ANN, and scalable indexing. Learn to analyze datasets, model user intent, design test queries, label relevance, compare precision@5, and plan real improvements with monitoring, A/B tests, and learning-to-rank basics.
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 workloadWhat our students say
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