Building Recommender Systems with Machine Learning and AI — 93% Off Coupon

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

⭐ 4.4 out of 5(50,532 students enrolled)Created by Frank Kane, Sundog Education by Frank Kane, Sundog Education TeamLast updated: 🌐 English

Course Overview - Key Takeaways

The following summarizes all verified data points for this course, including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CourseSpeak on .

•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: May 31, 2026
•Difficulty Level: All Levels
•Category: Development
•Subcategory: Recommendation Engine
•Duration: 12h of on-demand video
•Language: English
•Access: Lifetime access to all course lectures and updates
•Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements
•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)
•Price: $11.99 with coupon / Regular Udemy price: $179.99. Applying this coupon saves you $168.00 (93% OFF).
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

This course gives you the following verified skills and competencies in Development:

✓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

The following background knowledge and tools are recommended before starting this course. Students without these prerequisites may still enroll but should expect a steeper learning curve:

•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

The following is the full official course description as published on Udemy by instructor Frank Kane, Sundog Education by Frank Kane, Sundog Education Team. It covers the curriculum structure, teaching methodology, and topic scope for this Development course:

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Course Comparison

Compare features side by side to find the best course for your needs.

FeatureCURRENT
ProviderUdemyUdemy
Price
$11.99$179.99-93%
$10.99$149.99-93%
Rating
4.4(50.5k)
4.7(35.9k)
Duration12h13h
CouponBLACK_...UDEAFF...
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Is the Building Recommender Systems with Machine Learning and AI Coupon Worth It?

Expert review by Josh Smith, Lead Course Reviewer at CourseSpeakUpdated May 31, 2026

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, this is a high-value resource for learners seeking to build skills in Development. Taught by Frank Kane, Sundog Education by Frank Kane, Sundog Education Team on Udemy, the 12h course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 93%, from $179.99 to $11.99, removing the primary financial barrier to enrollment.

Pros

  • ✓Verified 93% price reduction.
  • ✓High learner satisfaction (4.4/5).
  • ✓Trusted by 50,532 students.
  • ✓Certificate + lifetime access.

Cons

  • !May be challenging for absolute beginners.
  • !Lifetime access depends on Udemy.
  • !Projects & quizzes need extra time.
JS
Josh Smith
Lead Course Reviewer
Credentials →

"Given the 93% price reduction and verified 4.4-star rating, Building Recommender Systems with Machine Learning and AI is a strong value in Development on Udemy. Enrollment recommended while the coupon is active."

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Final Verdict: Worth It
Exceptional value with current pricing
New to redeeming coupons? Visit our step-by-step guide for detailed instructions on how to apply coupon codes.Coupon last verified May 31, 2026.Udemy coupons are time-limited — redeem as soon as possible.

Course Rating Summary

This course holds an aggregate rating of 4.4 out of 5 based on 50,532 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.4
50,532 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy. Last verified: May 31, 2026.

Instructor Profile

Background information on Frank Kane, Sundog Education by Frank Kane, Sundog Education Team, the instructor responsible for this course on Udemy.

FK
Frank Kane, Sundog Education by Frank Kane, Sundog Education Team
Udemy Instructor
Full Profile ↗
Subject Area
Development
Total Students
50,532+ enrolled
Rating
4.4 / 5.0
Course Duration
12h
Teaching Approach
Practical, project-based instruction focused on real-world application of Development skills. This course provides structured progression from foundational concepts to advanced techniques.

Frequently Asked Questions

The following questions and answers cover the most common queries about this course, its coupon code, pricing, and enrollment process. All answers are based on verified data from Udemy as of May 31, 2026.

About the Author

Josh Smith
Josh Smith
Udemy Coupon Specialist

8+ years finding and verifying the best Udemy deals. Helped thousands of students save on premium courses through curated coupon codes and exclusive discounts.

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