Recommender Systems and Deep Learning in Python
★ 4.7 rated · $10.99
How to create machine learning recommendation systems with deep learning, collaborative filtering, and Python.
$11.99 with coupon (list $179.99 — save $168.00, 93% off)
Coupon Verified: May 31, 2026 · click Claim Coupon to apply the discount code
Our verdict: worth it — as long as the Development skills on the syllabus match what you actually want to learn. The regular price for Building Recommender Systems with Machine Learning and AI on Udemy is $179.99. With the coupon code on this page, that falls to $11.99 — a saving of $168.00, or 93% off the standard rate Spread across 12h of on-demand video, that works out to roughly $1.00 per hour of content — cheaper than a single chapter of most printed Development textbooks.
A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. Frank Kane and Sundog Education by Frank Kane and Sundog Education Team walk you through understand and apply user-based and item-based collaborative filtering to recommend items to users, create recommendations using deep learning at massive scale, and build recommendation engines with neural networks and Restricted Boltzmann Machines (RBM's) — skills meant to be used, not just watched. It has already been taken by 50,532 students and holds a 4.4-star average from verified reviews, which suggests the content holds up once learners actually apply it.
Check the prerequisites before you commit: A Windows, Mac, or Linux PC with at least 3GB of free disk space.; Some experience with a programming or scripting language (preferably Python). Best suited to learners who already have footing in Development. Plan for roughly 12h of on-demand video at your own pace. Lessons are delivered in English.
Practical skills and outcomes you'll gain from Building Recommender Systems with Machine Learning and AI — taken from the official Udemy syllabus for Development learners.
Understand and apply user-based and item-based collaborative filtering to recommend items to users.
Create recommendations using deep learning at massive scale.
Build recommendation engines with neural networks and Restricted Boltzmann Machines (RBM's).
Make session-based recommendations with recurrent neural networks and Gated Recurrent Units (GRU).
Build a framework for testing and evaluating recommendation algorithms with Python.
Apply the right measurements of a recommender system's success.
Build recommender systems with matrix factorization methods such as SVD and SVD++.
Apply real-world learnings from Netflix and YouTube to your own recommendation projects.
What you need before enrolling in Building Recommender Systems with Machine Learning and AI — prerequisites as listed by the instructor on Udemy.
A Windows, Mac, or Linux PC with at least 3GB of free disk space.
Some experience with a programming or scripting language (preferably Python)
Some computer science background, and an ability to understand new algorithms.
The full official description of Building Recommender Systems with Machine Learning and AI — curriculum, teaching approach, and everything included with this Udemy coupon.
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Common queries about this coupon, pricing, and enrollment. Answers reflect our last check on May 31, 2026.
★ 4.7 rated · $10.99
★ 4.8 rated · $9.99
★ 4.8 rated · $9.99
★ 4.9 rated · $9.99
★ 4.8 rated · $9.99
★ 4.8 rated · $9.99
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