Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R — 94% OFF Coupon

Learn to build, train and deploy ML, DL and AI models in AWS, Python and R from two AI experts. Code templates included.

★4.5 out of 5
1,191,395 students
English
Updated May 2026

Quick Facts — Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R Overview

Here's a quick overview of everything you need to know about Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R before you enroll:

•Course Name: Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R
•Platform: Udemy
•Instructor: Kirill Eremenko, Hadelin de Ponteves, Ligency​, SuperDataScience Team
•Coupon Last Verified: May 19, 2026
•Level: Advanced
•Topic: Development
•Subtopic: Machine Learning
•Total Time: 42h 30m of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: Master Machine Learning on Python & R · Have a great intuition of many Machine Learning models · Make accurate predictions
•Requirements: Just some high school mathematics level.
•Current Price: $10.99 (was $169.99). You save $159.00 with 94% discount.
•How to Apply: Click the coupon button to activate your discount automatically
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Skills You'll Master in This Course

By the end of Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R, you'll have these practical skills:

✓Master Machine Learning on Python & R .
✓Have a great intuition of many Machine Learning models .
✓Make accurate predictions .
✓Make powerful analysis .
✓Make robust Machine Learning models .
✓Create strong added value to your business .
✓Use Machine Learning for personal purpose .
✓Handle specific topics like Reinforcement Learning, NLP and Deep Learning .
✓Handle advanced techniques like Dimensionality Reduction .
✓Know which Machine Learning model to choose for each type of problem .
✓Build an army of powerful Machine Learning models and know how to combine them to solve any problem.

Prerequisites for This Course

Before enrolling in Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R, make sure you have:

•Just some high school mathematics level.

About This Udemy Course

The following is the full official course description for Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R as published on Udemy by instructor Kirill Eremenko, Hadelin de Ponteves, Ligency​, SuperDataScience Team:

Interested in the field of Machine Learning? Then this course is for you!

This course has been designed by a Data Scientist and a Machine Learning expert so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way.

Over 1 Million students world-wide trust this course.

We will walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

This course can be completed by either doing either the Python tutorials, or R tutorials, or both - Python & R. Pick the programming language that you need for your career.

This course is fun and exciting, and at the same time, we dive deep into Machine Learning. It is structured the following way:
  • Part 1 - Data Preprocessing
  • Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
  • Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
  • Part 4 - Clustering: K-Means, Hierarchical Clustering
  • Part 5 - Association Rule Learning: Apriori, Eclat
  • Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling
  • Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP
  • Part 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks
  • Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCA
  • Part 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost
Each section inside each part is independent. So you can either take the whole course from start to finish or you can jump right into any specific section and learn what you need for your career right now.

Moreover, the course is packed with practical exercises that are based on real-life case studies. So not only will you learn the theory, but you will also get lots of hands-on practice building your own models.

And last but not least, this course includes both Python and R code templates which you can download and use on your own projects.

Compare Similar Courses

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Is the Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: May 19, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R is a high-value resource for learners seeking to build skills inDevelopment. Taught by Kirill Eremenko, Hadelin de Ponteves, Ligency​, SuperDataScience Team on Udemy, the 42h 30m 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 94%, from $169.99 to $10.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 94% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.5 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 1,191,395 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R:

  • The depth of Development coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R has earned an aggregate rating of 4.5 out of 5 from 1,191,395 verified student reviews on Udemy. Below is the detailed rating distribution showing learner satisfaction across all star levels.

4.5
★★★★★
1,191,395 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.

About the Instructor — Kirill Eremenko, Hadelin de Ponteves, Ligency​, SuperDataScience Team

Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R is taught by Kirill Eremenko, Hadelin de Ponteves, Ligency​, SuperDataScience Team, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Kirill Eremenko, Hadelin de Ponteves, Ligency​, SuperDataScience Team
•Subject Area: Development
•Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Machine Learning A-Z [2026]: ML, DL, AI with AWS, Python & R, its coupon code, pricing, and enrollment process.

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

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