AWS Certified Machine Learning Engineer Associate: Hands On! — 90% Off Coupon

Practice exam included! Master MLA-C01 / ME1-C01 AWS Machine Learning Engineer Exam: SageMaker, Bedrock, and AI Skills.

4.6 43,816 students enrolledCreated by Sundog Education by Frank Kane, Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer, Frank KaneLast updated: 🌐 English

Course Overview — Key Details

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•Course Title: AWS Certified Machine Learning Engineer Associate: Hands On!
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Sundog Education by Frank Kane, Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer, Frank Kane
•Coupon Verified On: February 1, 2026
•Difficulty Level: Advanced
•Category: IT & Software
•Subcategory: AWS Certified Machine Learning Engineer - Associate
•Duration: 23h 30m of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: Prepare confidently for the AWS Certified Machine Learning Engineer Associate exam. · Understand and apply key AWS machine learning services like SageMaker, Bedrock, and more. · Perform data preparation, feature engineering, and data validation for ML models.
•Prerequisites: This course is ideal for individuals with at least one year of experience using Amazon SageMaker and other AWS services for machine learning. A background in data engineering, DevOps, or software development, along with a basic understanding of machine learning algorithms and cloud infrastructure, is recommended.
•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:

✓Prepare confidently for the AWS Certified Machine Learning Engineer Associate exam. .
✓Understand and apply key AWS machine learning services like SageMaker, Bedrock, and more. .
✓Perform data preparation, feature engineering, and data validation for ML models. .
✓Master hyperparameter tuning, model training, and deployment strategies on AWS. .
✓Implement CI/CD pipelines and automation for scalable machine learning workflows. .
✓Secure, monitor, and optimize AWS ML infrastructure for performance and cost-efficiency.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

•This course is ideal for individuals with at least one year of experience using Amazon SageMaker and other AWS services for machine learning. A background in data engineering, DevOps, or software development, along with a basic understanding of machine learning algorithms and cloud infrastructure, is recommended.

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 Sundog Education by Frank Kane, Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer, Frank Kane. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: Sundog Education by Frank Kane, Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer, Frank Kane
•Field: IT & Software
•Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the AWS Certified Machine Learning Engineer Associate: Hands On! Coupon Worth It?

AWS Certified Machine Learning Engineer Associate: Hands On! is a it & software course offered on Udemy by instructor Sundog Education by Frank Kane, Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer, Frank Kane, spanning 23h 30m of on-demand content. It holds a 4.6/5 rating from over 43,816 enrolled students.

Through CourseSpeak, you can access this course with a 90% discount coupon. The coupon was last verified on February 1, 2026. 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 (43,816 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 February 2026. For individual student reviews, visit the course page directly.

4.6
43,816 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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