Building Recommender Systems with Machine Learning and AI — 90% Off Coupon

How to create machine learning recommendation systems with deep learning, collaborative filtering, and Python.

4.6 49,337 students enrolledCreated by Frank Kane, Sundog Education by Frank Kane, Sundog Education TeamLast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

•Course Title: Building Recommender Systems with Machine Learning and AI
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Frank Kane, Sundog Education by Frank Kane, Sundog Education Team
•Coupon Verified On: November 13, 2025
•Difficulty Level: All Levels
•Category: Development
•Subcategory: Recommendation Engine
•Duration: 12h of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: 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)
•Prerequisites: A Windows, Mac, or Linux PC with at least 3GB of free disk space. · Some experience with a programming or scripting language (preferably Python)
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

✓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.
✓Combine many recommendation algorithms together in hybrid and ensemble approaches.
✓Use Apache Spark to compute recommendations at large scale on a cluster.
✓Use K-Nearest-Neighbors to recommend items to users.
✓Solve the "cold start" problem with content-based recommendations.
✓Understand solutions to common issues with large-scale recommender systems.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

•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.

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Frank Kane, Sundog Education by Frank Kane, Sundog Education Team. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: Frank Kane, Sundog Education by Frank Kane, Sundog Education Team
•Field: Development
•Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the Building Recommender Systems with Machine Learning and AI Coupon Worth It?

Building Recommender Systems with Machine Learning and AI is a development course offered on Udemy by instructor Frank Kane, Sundog Education by Frank Kane, Sundog Education Team, spanning 12h of on-demand content. It holds a 4.6/5 rating from over 49,337 enrolled students.

Through CourseSpeak, you can access this course with a 90% discount coupon. The coupon was last verified on November 13, 2025. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.6/5) and enrollment numbers (49,337 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of November 2025. For individual student reviews, visit the course page directly.

4.6
49,337 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

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