Predict what each user will want next.
Learn from patterns across users.
Recommenders drive revenue everywhere.
Recommender Systems teaches the machine learning behind personalised suggestions. Using Python on real datasets, you'll build content-based recommenders, collaborative filtering and matrix factorisation, and hybrid systems — the technology that powers Netflix, Amazon, Spotify and virtually every product that says "recommended for you".
Python & ML! Solid Python and machine-learning basics are recommended. This is an advanced, applied course.
Earn the "Recommender Systems" badge upon completing all modules and the hands-on final assessment.
Verifiable CredentialHow and why recommendation works.
Recommend by similarity of items.
Learn from patterns across many users.
Modern techniques and combined systems.
Measure quality and build a real recommender.
Build personalisation and recommendation systems.
Apply recommenders to real products.
Drive sales with smart recommendations.
Deliver measurable business value.
Solid Python and machine-learning basics are recommended. Our ML Fundamentals course is ideal preparation.
A laptop; we use free tools — Python, Pandas, scikit-learn and specialised libraries on Colab. Set-up help is provided.
To receive the Edmire Recommender Systems Certificate, complete all 5 modules and the capstone — a working recommender on real data. Resubmission is free if needed.
Everywhere personalisation matters — streaming, e-commerce, music, news and social media. They're a high-value, revenue-driving skill across many industries.
Classroom training at our Dubai centre, live online instructor-led classes, or custom in-house delivery — with all materials yours to keep.
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