AWS Certified Machine Learning - Specialty
Exam Code: MLS-C01
The AWS Certified Machine Learning – Specialty certification validates the ability to design, implement, deploy, and maintain machine learning (ML) solutions on AWS. It focuses on data engineering for ML, exploratory data analysis, model training and tuning, deployment, monitoring, and operational best practices using AWS ML services.
- Exam Breakdown
- Domain Breakdown
- Access Breakdown
Exam Format
- Exam Code: MLS-C01
- Certification Level: Specialty
- Exam Duration: 180 minutes
- Passing Score: 750 out of 1000 (scaled score)
- Unscored Content: The exam may include unscored questions for research purposes. These do not affect your score and are not identified.
Exam Details
- Question Types: Multiple choice, multiple response
- Number of Questions: 65 questions
- Hands-On Questions: No hands-on labs; exam evaluates practical and scenario-based knowledge of machine learning solutions on AWS.
Exam Policies
- Offline Proctoring: Must be rescheduled or canceled at least 24 hours before the scheduled exam time.
- Online Proctoring: Must be rescheduled or canceled at least 24 hours before the scheduled exam time.
- Waiting Period: A minimum 14-day wait is required after a failed attempt before retaking the exam.
- Retake Fee: Full exam fee must be paid for each retake.
Certification Validity and Renewal
- Validity: 3 years
- Renewal Options: Recertify by passing the latest version of the exam or through AWS recertification options.
Exam Fee
- Base Fee: $300 USD (excluding taxes)
- Taxes: Country-specific VAT may apply
. Example: In India, 18% tax applies, making the total $354 USD ($300 + $54 tax)
Prerequisites
There are no formal prerequisites for taking the AWS Certified Machine Learning – Specialty exam. However, AWS recommends:- 1–2 years of hands-on experience developing, running, and maintaining ML or deep learning workloads on AWS
- Experience with data engineering, model training, tuning, and deployment
- Understanding of ML algorithms, hyperparameter optimization, and performance metrics
- Knowledge of AWS ML services such as Amazon SageMaker.
Exam Topics
- Data Engineering: Data ingestion, transformation, and feature engineering
- Exploratory Data Analysis: Data preparation and visualization techniques
- Modeling: Model selection, training, evaluation, and tuning
- Machine Learning Implementation and Operations: Deployment, monitoring, and optimization of ML solutions
Intended Audience
The AWS Certified Machine Learning – Specialty certification is ideal for professionals working in AI and machine learning roles, including:- Machine Learning Engineer
- Data Scientist
- AI Engineer
- Cloud ML Developer
- Data Engineer working with ML workloads
Career Impact
- Jobs You Can Get: Machine Learning Engineer, Data Scientist, AI Engineer, ML Solutions Architect, Cloud ML Specialist, etc.
Average Salary: Varies by country — U.S.: $110,000–$160,000 USD, India: ₹10,00,000–₹30,00,000 INR, United Kingdom: £60,000–£100,000 GBP, UAE: 200,000–400,000 AED per year. - Why It’s Valuable: Demonstrates advanced machine learning expertise on AWS and validates the ability to deploy production-ready ML solutions in cloud environments.
Exam Mode
The exam is proctored and can be taken:- At authorized Pearson VUE test centers
- Online proctored through Pearson VUE’s platform
Exam Booking Link
- Available through the AWS Certification Portal under “Machine Learning – Specialty (MLS‑C01)”
After Passing
- Certificate and digital badge issued via your AWS Certification Account—typically available within hours to a few days after passing.
Prepare with actual exam questions
To strengthen your knowledge and approach exam day with confidence. We provide practice questions to help you understand the exam format and question patterns.
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Top Reasons to Choose
AWS Certified Machine Learning – Specialty
High Demand for Machine Learning Skills
Organizations increasingly rely on AI and machine learning to drive data-driven decisions and automation, creating strong demand for ML professionals.
Strong Focus on Real-World ML Implementation
The certification emphasizes real-world ML lifecycle skills including data preparation, model training, deployment, and optimization.
Career Growth and Global Recognition
As an AWS Specialty-level certification, it validates advanced AI and ML expertise and enhances career opportunities in cloud and data science roles.
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FAQ
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Who should take the AWS Certified Machine Learning – Specialty (MLS-C01) exam?
The MLS-C01 exam is designed for professionals performing machine learning or data science roles who build, train, and deploy ML solutions using AWS services.
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How difficult is the MLS-C01 exam?
The exam is considered challenging because it tests advanced machine learning concepts, AWS services, and real-world ML deployment scenarios.
-
Why does AWS offer the Machine Learning – Specialty certification?
AWS offers this certification to validate advanced technical skills in building, training, tuning, and deploying ML solutions on AWS cloud infrastructure.
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What tools and resources can be used to prepare for the MLS-C01 exam?
Candidates can prepare using official AWS resources such as: • AWS Skill Builder learning paths • AWS documentation and whitepapers • Hands-on practice with Amazon SageMaker and ML services • AWS practice exams and labs
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Is the AWS Certified Machine Learning – Specialty certification still valuable in 2026?
Yes, the certification remains valuable as AI and machine learning adoption continues to grow, increasing demand for professionals with cloud ML expertise.
