AWS Machine Learning Certification: Complete Guide 2025
MLS-C01
The aws machine learning certification path reaches an advanced milestone with the AWS Certified Machine Learning - Specialty (MLS-C01). Built for IT professionals such as ML Engineers, Data Scientists, AI/ML Specialists, and Machine Learning Architects, this exam validates real-world skill across Data Engineering (20%), Exploratory Data Analysis (24%), Modeling (36%), and ML Implementation and Operations (20%). If you’re comparing aws machine learning associate options or targeting the aws machine learning specialty credential, HydraNode.ai helps you prepare faster with focused study resources and free AI-generated practice tests.
Exam Details
Resources
Everything you need to pass
Comprehensive preparation materials for your AWS Certified Machine Learning - Specialty exam
Exam Content
Exam Domains & Topics
Master these 4 domains to pass your exam
Data Engineering
Exploratory Data Analysis
Modeling
Machine Learning Implementation and Operations
Who Should Take This Exam?
- IT professionals seeking Amazon Web Services (AWS) expertise
- Machine Learning practitioners
- Cloud architects and engineers
- DevOps and infrastructure specialists
- Technical leads and solution architects
- Career changers entering cloud computing
Study Timeline
8-12 weeks
Recommended duration
Foundation · Weeks 1-2
Review exam objectives & core concepts
Deep Dive · Weeks 3-6
Study each domain with hands-on labs
Practice & Review · Weeks 7-8
Take practice exams & target weak areas
Career
Career Opportunities
Roles and salary potential for AWS Certified Machine Learning - Specialty certified professionals
Related Job Titles
$165,000
Average Annual Salary
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Prerequisites
There are no strict formal prerequisites for the AWS Certified Machine Learning - Specialty certification. However, Amazon Web Services (AWS) recommends having foundational knowledge of machine learning concepts and some hands-on experience before attempting the exam. Candidates who invest time in study materials and practice exams typically perform best.
AWS Certified Machine Learning - Specialty FAQs
Common questions about the MLS-C01 certification exam
The AWS Certified Machine Learning - Specialty is a professional certification offered by Amazon Web Services (AWS) that validates your expertise in the relevant technology domain. The exam code is MLS-C01. This certification demonstrates your ability to design, implement, and manage solutions using Amazon Web Services (AWS) technologies.
The AWS Certified Machine Learning - Specialty exam typically contains 65 questions. These questions are a mix of multiple-choice and scenario-based questions designed to test both theoretical knowledge and practical application.
The passing score for the AWS Certified Machine Learning - Specialty exam is 750/1000. Note that Amazon Web Services (AWS) uses a scaled scoring system, so focus on understanding all exam domains thoroughly rather than just achieving the minimum score.
The AWS Certified Machine Learning - Specialty exam duration is 180 minutes (3 hours). This includes time for reviewing your answers. We recommend practicing with timed mock exams to manage your time effectively.
The AWS Certified Machine Learning - Specialty exam costs $300. Prices may vary by region and are subject to change. Amazon Web Services (AWS) occasionally offers discounts or voucher programs for certification exams.
The AWS Certified Machine Learning - Specialty certification is valid for 3 years. To maintain your certification, you'll need to recertify before it expires, either by passing the current exam version or through Amazon Web Services (AWS)'s continuing education program.
While Amazon Web Services (AWS) doesn't always require formal prerequisites, we recommend having hands-on experience with the relevant technologies. Familiarity with core concepts and practical experience will significantly improve your chances of passing the exam.
Yes, the AWS Certified Machine Learning - Specialty exam is proctored and can be taken either at a testing center or online through remote proctoring. Online proctoring allows you to take the exam from home while being monitored via webcam. Ensure you have a quiet, private space with a stable internet connection if choosing the online option.
If you don't pass the AWS Certified Machine Learning - Specialty exam on your first attempt, you can retake it. Amazon Web Services (AWS) typically has a waiting period between attempts (usually 14 days for the first retake). Use this time to review the areas where you struggled and take additional practice exams.
To prepare for the AWS Certified Machine Learning - Specialty exam, we recommend: 1) Review the official exam guide and objectives, 2) Gain hands-on experience with the technologies, 3) Use practice exams to identify knowledge gaps, 4) Study each exam domain thoroughly, and 5) Join study groups or forums to discuss challenging topics with other candidates.
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About the AWS Certified Machine Learning - Specialty Certification
The AWS Certified Machine Learning - Specialty (MLS-C01) is a specialty-level certification offered by Amazon Web Services (AWS). This certification validates your expertise in machine learning and is recognized globally by employers seeking qualified professionals. The exam consists of 65 questions to be completed in 180 minutes, with a passing score of 750/1000. The exam fee is $300, and the certification is valid for 3 years.
Why Get AWS Certified Machine Learning - Specialty Certified?
- Career Advancement: Certified professionals earn an average of $165,000 per year. Amazon Web Services (AWS)-certified professionals are among the most sought-after in the machine learning industry.
- Industry Recognition: Amazon Web Services (AWS) certifications are respected worldwide by employers, demonstrating verified competency in machine learning technologies and practices.
- Skill Validation: The AWS Certified Machine Learning - Specialty exam rigorously tests your knowledge across 4 domains, ensuring you have the practical skills employers demand.
AWS Certified Machine Learning - Specialty Exam Format & Details
The MLS-C01 exam is designed to test both theoretical knowledge and practical application. Candidates are given 180 minutes to complete the exam, which contains approximately 65 questions. A score of 750/1000 is required to pass.
Exam Domains & Topics
The AWS Certified Machine Learning - Specialty exam covers 4 key domains. Understanding the weight of each domain helps you allocate your study time effectively:
- Data Engineering (20% of exam)
- Exploratory Data Analysis (24% of exam)
- Modeling (36% of exam)
- Machine Learning Implementation and Operations (20% of exam)
Who Should Take the AWS Certified Machine Learning - Specialty Exam?
This certification is designed for professionals in the following roles:
- IT professionals seeking Amazon Web Services (AWS) expertise
- Machine Learning practitioners looking to validate their skills
- Professionals preparing for a career in machine learning
- Technical specialists aiming to advance their career with an industry-recognized credential
- Team leads and managers who need to understand machine learning concepts
Career Opportunities & Salary
Earning the AWS Certified Machine Learning - Specialty certification opens doors to roles such as ML Engineer, Data Scientist, AI/ML Specialist, Machine Learning Architect. Certified professionals earn an average salary of $165,000 per year, reflecting the high demand for machine learning skills in today's job market.
Recertification & Renewal
The AWS Certified Machine Learning - Specialty certification is valid for 3 years. To maintain your credential, you will need to meet Amazon Web Services (AWS)'s renewal requirements before your certification expires. This may include earning continuing education credits, passing a recertification exam, or earning a higher-level certification.
Exam Registration & Cost
The MLS-C01 exam costs $300. You can register through Amazon Web Services (AWS)'s official website or an authorized testing center. Most candidates choose between in-person testing at a Pearson VUE or PSI center and online proctored exams taken from home. Be sure to review the exam policies, including identification requirements and prohibited items, before your test date.
How to Prepare for MLS-C01
Most candidates need 4-8 weeks of dedicated study to prepare for the AWS Certified Machine Learning - Specialty exam. Start by reviewing the official exam objectives, then work through each domain systematically. Regular practice with exam-style questions is essential for building confidence and identifying weak areas. Combine reading with hands-on practice to develop both theoretical knowledge and practical skills.
Hydranode offers comprehensive preparation materials including practice exams, study guides, and free practice tests to help you pass on your first attempt. Our AI-powered practice questions are designed to match the format and difficulty of the actual MLS-C01 exam, giving you realistic preparation and instant feedback on your performance.