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Updated: Jul 22, 2026
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In order to apply for the AWS Certified Machine Learning Specialty, You have to follow these steps
The Amazon MLS certification path includes only one certification exam.
| Certification Vendor: | Amazon Web Services (AWS) |
| Exam Name: | AWS Certified Machine Learning – Specialty |
| Exam Number: | MLS-C01 |
| Exam Format: | Multiple choice, Multiple response |
| Related Certifications: | AWS Certified Machine Learning Engineer – Associate AWS Certified Data Analytics – Specialty AWS Certified Solutions Architect – Associate AWS Certified Data Engineer – Associate |
| Exam Price: | 300 USD |
| Exam Duration: | 180 minutes |
| Available Languages: | English, Japanese, Korean, Simplified Chinese |
| Real Exam Qty: | 65 |
| Certificate Validity Period: | 3 years |
| Passing Score: | 750/1000 (scaled score) |
| Recommended Training: | Exam Readiness: AWS Certified Machine Learning – Specialty AWS Skill Builder Machine Learning Learning Path |
| Exam Registration: | AWS Certification Registration |
| Sample Questions: | Amazon MLS-C01 Sample Questions |
| Exam Way: | Online proctored or test center (Pearson VUE) |
| Pre Condition: | No formal prerequisites required, but 1+ year of experience in ML/AI on AWS is recommended |
| Official Syllabus URL: | https://aws.amazon.com/certification/certified-machine-learning-specialty/ |
If you don't have much hands-on experience in machine learning, it is recommended to enroll in the course and gain it before going for the AWS Certified Machine Learning – Specialty exam. There are five options offered by AWS itself, some of them are as follows:
This course also lasts for only one day but still has comprehensive content. It emphasizes the AWS DL (Deep Learning) solutions as well as the use of MXNet and Amazon SageMaker. Also, the candidates are going to understand how to deploy DL models by utilizing AWS services and build intelligent systems. This training can be taken in either live-classroom form or live-virtual.
During these in-classroom or virtual sessions, the candidates will come across exceptional knowledge about how to use the machine learning pipeline to solve real business problems. It is the best project-based studying environment for individuals that are passionate about working with ML models using Amazon SageMaker. At the end of the course, students will be able to solve any issues related to fraud detection, flight delays, recommendation engines, etc. It leads the applicants to the path of overcoming any challenges effectively and get knowledge of machine learning thoroughly to take the test. You will find this 4-days course easy if you have prior experience in the field as well as knowledge of Python and Statistics.
In contrast to the previous option, this training is just a one-day course. The candidates can follow it in different languages like English, French, Simplified Chinese, Indonesian, Japanese, and Korean. It focuses on the CRISP-DM model in relation to data science, including all its six phases and framework and methodology. The course also shows applicants how to use CRISP-DM to resolve various problems within their daily work. The good thing about this training is that it's free.
AWS Certified Machine Learning Specialty Exam Reference
| Section | Weight | Objectives |
|---|---|---|
| Modeling | 36% | - Machine learning model development
|
| Machine Learning Implementation and Operations | 20% | - Deployment and MLOps
|
| Data Engineering | 20% | - Data ingestion and storage
|
| Exploratory Data Analysis | 24% | - Data preprocessing and visualization
|
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