Recommender Systems in Practice
Free Intermediate course · 10 lessons · 3 weeks · Certificate on completion
Design and evaluate the 'you may also like' engines behind e-commerce, media and apps. Across 10 lessons you'll move from fundamentals to a portfolio-ready outcome — at your own pace, with quizzes after each lesson and a final exam to certify your mastery.
What you'll learn
- Where recommenders create value
- Popularity and content-based baselines
- User-item matrices and sparsity
- Collaborative filtering with neighbours
- Matrix factorisation (ALS, SVD)
- Implicit feedback and negative sampling
Skills you'll pick up
- Where recommenders create valu
- Popularity and content-based b
- User-item matrices and sparsit
- Collaborative filtering with n
- Matrix factorisation (ALS, SVD
- Implicit feedback and negative
Tools covered
- Recommender Systems
- Real-world projects
- Quizzes
- Final exam
Course modules
Module 1: Where recommenders create value
Module 1 of Recommender Systems in Practice. 3 lessons · 3h
Module 2: Collaborative filtering with neighbours
Module 2 of Recommender Systems in Practice. 3 lessons · 3h
Module 3: Ranking metrics: NDCG, MAP, recall@k
Module 3 of Recommender Systems in Practice. 2 lessons · 2h
Module 4: Offline vs online evaluation
Module 4 of Recommender Systems in Practice. 2 lessons · 2h
Lessons in this course
- Where recommenders create value
- Popularity and content-based baselines
- User-item matrices and sparsity
- Collaborative filtering with neighbours
- Matrix factorisation (ALS, SVD)
- Implicit feedback and negative sampling
- Ranking metrics: NDCG, MAP, recall@k
- Cold-start strategies
- Offline vs online evaluation
- Deploying a nightly recommendation job
Instructor
Tomás Herrera — Staff Data Scientist
Tomás Herrera is a Staff Data Scientist with years of hands-on experience teaching Recommender Systems to thousands of learners worldwide.
Certificate
Finish every lesson and pass the final exam to earn a free, verifiable Learnera certificate for Recommender Systems in Practice. It can be downloaded as a PDF and shared on LinkedIn.
Career outcomes
Median global salary $145,000 per year · median India salary ₹20,30,000 per year · 69,734 open roles worldwide
- Recommender Systems Specialist
- Senior Recommender Systems Lead
- Recommender Systems Consultant
Frequently asked questions
Is the Recommender Systems in Practice course free?
Yes. Every Learnera course, including Recommender Systems in Practice, is completely free — lessons, quizzes, the final exam, and the certificate.
How long does Recommender Systems in Practice take?
10 lessons, typically completed in 3 weeks at a comfortable pace.
Do I get a certificate?
Yes — pass the final exam and you receive a free, verifiable certificate you can share on LinkedIn.