information Retrieval Course
This course equips learners with practical skills to build and optimize search systems, from traditional keyword methods to advanced semantic techniques, including evaluation and iterative improvements.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This Information Retrieval Course provides a quick, hands-on route to creating top-notch search systems. You'll dive into basic keyword techniques, TF-IDF, and BM25, then progress to semantic search using embeddings, ANN, and efficient indexing. Gain skills in analysing datasets, understanding user needs, creating test searches, assessing relevance, measuring 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 quick, relevant outcomes.
- Implement TF-IDF and BM25: adjust ranking models for improved search accuracy.
- Analyse search data: examine tags, content fields, and quality to enhance recall.
- Model user intent: develop realistic queries and link them to appropriate resources.
- Evaluate search quality: conduct A/B tests, label relevance, and measure 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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