information Retrieval Course
This course equips learners with practical skills in building and evaluating effective search systems, from traditional keyword methods to advanced semantic techniques, including data analysis, user intent modeling, and performance assessment.
4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This Information Retrieval Course provides a quick, practical pathway to developing high-quality search capabilities. You'll delve into foundational keyword techniques, TF-IDF, and BM25, before progressing to semantic retrieval using embeddings, ANN, and efficient indexing. Gain skills in analysing datasets, modelling user intent, creating test queries, labelling relevance, assessing precision@5, and implementing real enhancements through monitoring, A/B testing, and introductory learning-to-rank concepts.
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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