AWS Certified Machine Learning - Specialty - Retired on March 31, 2026

AWS Certified Machine Learning - Specialty - Retired on March 31, 2026
4.8(75 ratings)
Learners18868 Learners
Last Updated on 3/2026
or
Practice Tests

$70.95

$22.99

Video Courses

$45.95

$22.99

Hands-on Labs

$69.95

$22.99

Cloud Sandbox

$55.95

$39.99

0% Off

$0

$0

LAST UPDATED

New questions added in Section Tests [Mar 2026]
2 New Lectures added based syllabus updates [Mar 2026]
PT Version Update [Mar 2026]
Cheat Sheet Version 2.0 [Mar 2026]

Course Overview

The AWS Certified Machine Learning - Specialty course covers designing, building, and deploying machine learning solutions on AWS. You'll work through structured video lessons and exam-style practice questions that mirror the real ML Specialty exam, building the practical judgment needed to apply these skills on the job. By the end, you'll be ready to sit the ML Specialty exam and earn the AWS Certified Machine Learning - Specialty credential. This AWS Certified Machine Learning - Specialty training pairs guided lessons with a full AWS Certified Machine Learning - Specialty practice test, so you walk into the ML Specialty exam fully prepared.

Whether you're brand new to this area or brushing up before the ML Specialty exam, this course paces the material so nothing feels rushed.

What Skills Will You Gain

  • Framing business problems as ML problems

  • Preparing and engineering data for ML on AWS

  • Selecting, training, and tuning ML models

  • Deploying, monitoring, and operationalizing ML solutions

Key Features

  • 24x7 support from AWS-certified experts

  • This course is valid for 2 years from the date of purchase

  • Practice tests with unique, exam-style questions

  • Detailed explanations for every practice question

  • Hands-on labs using real AWS services

  • Downloadable ML Specialty cheat sheet for quick revision

Domains and Weightage

Official domain-by-domain weightings for the ML Specialty exam were not included in the source data for this page, so the skill areas below are listed without percentage breakdowns. Verify current weightings on the vendor's official AWS Certified Machine Learning - Specialty exam guide before publishing.

  • Framing business problems as ML problems

  • Preparing and engineering data for ML on AWS

  • Selecting, training, and tuning ML models

  • Deploying, monitoring, and operationalizing ML solutions

How to Prepare for the Exam

The AWS Certified Machine Learning - Specialty course lays out a clear path to the ML Specialty exam, so you're not guessing what to study next.

Start with the video lessons in this AWS Certified Machine Learning - Specialty course to build a working understanding of the core concepts the ML Specialty exam covers. Then move into the hands-on labs to apply what you've learned in a real environment instead of just reading about it.

Next, work through the ML Specialty practice test set. Each AWS Certified Machine Learning - Specialty practice test question comes with a detailed explanation, so a wrong pick becomes a lesson you actually retain.

When your ML Specialty practice test scores stay consistently above the passing mark, you're ready to book the AWS Certified Machine Learning - Specialty exam. For a fuller walkthrough, refer to a dedicated AWS Certified Machine Learning - Specialty exam preparation guide alongside this course.

Certification Path

The ML Specialty certification has no mandatory prior certification requirement.

Once you pass, the AWS Certified Machine Learning - Specialty certification stays valid for 3 Years. Before it expires, you can renew the ML Specialty certification by retaking the current exam.

Many learners treat the AWS Certified Machine Learning - Specialty certification as a step within a broader vendor certification track. Check Whizlabs' related course listings for a logical next-level credential once you've completed this ML Specialty course.

Why Get ML Specialty Certified?

This certification validates your ability to work with designing, building, and deploying machine learning solutions on AWS. It signals to employers that you can apply these skills in real AWS projects, supporting stronger roles, responsibilities, and career growth.

Benefits that AWS Certified Machine Learning - Specialty (MLS-C01) - Retired in Mar 31, 2026 offers

Career Advancement

Positions you for machine learning engineers and data scientists roles, and signals proven, job-ready expertise in designing, building, and deploying machine learning solutions on AWS.

Business Advantage

Helps your organization apply designing, building, and deploying machine learning solutions on AWS more effectively, reducing risk and improving efficiency in real deployments.

Skill Development

Deepens your hands-on understanding of designing, building, and deploying machine learning solutions on AWS, moving beyond theory into practical, job-ready skills.

Earning Potential

Specialty-level certifications like this are consistently linked to stronger salaries and career growth in AWS-related roles.

Exam Format and Information

AWS Certified Machine Learning - Specialty - Retired on March 31, 2026

Prior Certification

Not Required

Exam Validity

3 Years

Exam Fee

300 USD

Exam Duration

180 Minutes

No. of Questions

65 Questions

Passing Score

750/1000

Recommended Experience

Best for those with hands-on or working familiarity with designing, building, and deploying machine learning solutions.

Languages

English, Japanese, Korean, and Simplified Chinese.

Exam Format

Multiple choice and multiple response questions.

Who Can Take the ML Specialty Exam?

There are no formal prerequisites for this exam. Hands-on experience with designing, building, and deploying machine learning solutions on AWS makes it more approachable. It's designed for machine learning engineers, data scientists, and anyone building these skills.

Machine learning engineers working with designing, building, and.

Data scientists preparing for specialty-level certification.

IT professionals expanding into this specialization.

Consultants advising clients on AWS best practices.

Students and career changers entering the field.

Anyone pursuing the ML Specialty credential.

Learning Resources

Why Choose Whizlabs?

Expert Support

Get help from AWS-certified trainers whenever you're stuck on a concept or question.

Hands-on Labs

Practice with real AWS services in guided labs that mirror the exam and the job.

Practice Tests

Unique ML Specialty style questions with detailed explanations from subject matter experts.

Cloud Sandbox

Explore live AWS services in a ready-to-use sandbox environment.

Testimonials

4.8

Overall Feedbacks

5 Star
81.33%
4 Star
18.67%
3 Star
0.00%
2 Star
0.00%
1 Star
0.00%

4.9/5

Based on 226 reviewsReview source

4.8/5

Based on 705 reviewsReview source
N

Nikhil Saxena

5.0
Quote

A must read

Frequently Asked Questions

There is no pre-requisite for the AWS Certified Machine Learning - Specialty Certification Exam. You can directly appear for this amazon AWS certification exam.

Some recommended knowledge and experience for AWS Certified Machine Learning - Specialty Certification are:

  • Minimum one year of hands-on experience in architecting, building or running ML/deep learning workloads on the AWS Cloud.
  • Experience in handling ML/deep learning frameworks.
  • Basic understanding and ability to express the purpose of the Machine learning algorithms.
  • Ability to perform basic hyperparameter optimization.
  • Ability to incorporate operational and deployment practices.

The important topics and concepts covered in the AWS Certified Machine Learning - Specialty Certification exam are:

  • Amazon SageMaker (built-in ML algorithms)
  • AWS Comprehend, Translate
  • S3
  • Amazon Lex, Polly, Transcribe
  • Amazon Rekognition
  • Feature engineering techniques (imputation, outliers, binning, normalization)
  • Kinesis
  • Athena, Glue 
  • DynamoDB 

AWS Certified Machine Learning - Specialty exam objectives are:

  • Validate one’s ability to building, implementing, deploying, and maintaining ML solutions for business problems.
  • Select and legitimize the suitable ML approach for a given business issue.
  • Identify the right AWS administrations to implement solutions to ML.
  • Design and actualize versatile, cost-streamlined, dependable, and secure solutions of Machine Learning.

No, we do not provide an exam voucher. You have to directly purchase the same from Amazon. AWS Certified Machine Learning - Specialty Certification Exam fee is $300; that is the same across countries. You can buy exam vouchers from Xvoucher, an authorized third-party distributor.

The main domains covered in AWS Certified Machine Learning - Specialty Certification Exam are:

Worth mentioning documentation for the preparation of AWS Certified Machine Learning - Specialty exam are:

We are offering 130+ practice questions and 9+ hours of training videos for AWS Machine Learning - Specialty exam. Our AWS Machine Learning - Specialty Practice Tests are designed to help you understand the technical concepts covered in the main exam.

Also, we have a team of AWS experts who are ready to clarify any queries within 48 hours. This would be sufficient to pass AWS Machine Learning Certification with proper dedication and hard work.

AWS Certified Machine Learning - Specialty Questions includes:

  1. Multiple-choice: Has one correct response and three incorrect responses
  2. Multiple-response: Has two or more correct responses out of five or more options.

Want to be the cloud expert your team relies on?

It's time to Upskill!