AWS Certified Machine Learning Engineer associate
Exam Code: MLA-C01
The AWS Certified Machine Learning Engineer – Associate certification validates the ability to build, train, deploy, and monitor machine learning solutions on AWS. It focuses on practical ML workflows, data preparation, model development, deployment, and operational best practices using AWS ML services.
- Exam Breakdown
- Domain Breakdown
- Access Breakdown
Exam Format
- Exam Code: MLA-C01
- Certification Level: Associate
- Exam Duration: 130 minutes
- Passing Score: 720 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 implementation 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: $150 USD (excluding taxes)
- Taxes: Country-specific VAT may apply
. Example: In India, 18% tax applies, making the total $177 USD ($150 + $27 tax)
Prerequisites
There are no formal prerequisites for taking the AWS Certified Machine Learning Engineer – Associate exam. However, AWS recommends:- At least 1 year of hands-on experience building, deploying, and maintaining machine learning solutions
- Understanding of machine learning concepts and algorithms
- Experience with AWS services such as Amazon SageMaker, S3, and data processing tools
- Knowledge of data preparation, model training, and deployment pipelines
Exam Topics
- Data Preparation for Machine Learning: Data ingestion, transformation, feature engineering, and storage
- ML Model Development: Model selection, training, evaluation, and tuning
- Deployment and Orchestration of ML Workflows: Model deployment, CI/CD pipelines, inference endpoints
- Monitoring and Maintenance of ML Solutions: Performance monitoring, troubleshooting, optimization, and retraining strategies
For a detailed breakdown and official study guide, feel free to contact us!
Intended Audience
The AWS Certified Machine Learning Engineer – Associate certification is ideal for professionals working with machine learning implementation, including:- Machine Learning Engineer
- Data Engineer working with ML pipelines
- AI Developer
- Cloud Engineer implementing ML workloads
- Software Engineer working with AI solutions
Career Impact
• Jobs You Can Get: Machine Learning Engineer, AI Developer, Data Engineer, Cloud ML Engineer, Applied ML Engineer, etc.
Average Salary: Varies by country — U.S.: $100,000–$150,000 USD, India: ₹8,00,000–₹22,00,000 INR, United Kingdom: £55,000–£90,000 GBP, UAE: 180,000–350,000 AED per year.
• Why It’s Valuable: Validates practical skills in implementing machine learning pipelines and production ML systems using AWS services.
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
- Schedule through the AWS Certification Portal under the “Machine Learning Engineer – Associate (MLA‑C01)” listing
After Passing
- Certificate and digital badge are issued via your AWS Certification Account — typically available within hours to a few days
Offers
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Top Reasons to Choose
AWS Certified Machine Learning Engineer associate
High Demand for Applied Machine Learning Skills
Organizations require professionals who can build, deploy, and manage machine learning systems in production environments.
Strong Focus on Production ML Pipelines
The certification emphasizes real-world ML workflows including data preparation, deployment, monitoring, and automation.
Career Growth and Global Recognition
As an official AWS Associate-level certification, it provides strong recognition and serves as a pathway to advanced AI and ML certifications.
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FAQ
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Who should take the AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam?
The MLA-C01 exam is ideal for professionals who build, deploy, and maintain machine learning models and pipelines using AWS services.
-
How difficult is the MLA-C01 exam?
The exam is considered moderately challenging because it requires practical knowledge of machine learning workflows, AWS ML services, and deployment practices.
-
Why does AWS offer the Machine Learning Engineer – Associate certification?
AWS offers this certification to validate skills in implementing machine learning solutions and operationalizing ML workloads on AWS infrastructure.
-
What tools and resources can be used to prepare for the MLA-C01 exam?
Candidates can prepare using official AWS resources such as: • AWS Skill Builder learning plans • AWS documentation and ML service guides • Hands-on practice with Amazon SageMaker and ML pipelines • AWS practice exams and labs
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Is the AWS Certified Machine Learning Engineer – Associate certification still valuable in 2026?
Yes, the certification remains highly valuable in 2026 as organizations increasingly deploy machine learning solutions in cloud environments.
