AWS Certified Machine Learning Engineer – Associate Certification
The AWS Certified Machine Learning Engineer – Associate Certification validates your ability to build, deploy, operate, monitor, and maintain machine learning solutions on AWS.
This Associate-level certification is designed for professionals who work with machine learning workloads in production. It covers the full machine learning lifecycle, including data preparation, model development, training, deployment, workflow automation, monitoring, troubleshooting, and security.
AWS is transitioning from the current MLA-C01 exam to the updated MLA-C02 exam. MLA-C01 focuses on traditional machine learning engineering. MLA-C02 expands the scope to include generative AI, foundation models, large language models, Amazon Bedrock, agentic AI workflows, and responsible AI.
NYTCC provides structured AWS ML engineer training to help learners understand the certification objectives and prepare for their selected exam version. The course includes simple explanations, practical examples, revision support, and exam-focused preparation.
Why Choose AWS Certified Machine Learning Engineer – Associate Certification Training?
Machine learning is used in finance, healthcare, retail, software, logistics, marketing, and many other industries. Organizations need professionals who can move machine learning models from development into reliable production environments.
This certification helps you develop knowledge of AWS machine learning operations. You learn how to prepare data, select models, train and evaluate models, deploy endpoints, automate workflows, monitor systems, and protect ML resources.
The updated MLA-C02 exam reflects the changing responsibilities of modern ML engineers. It includes traditional machine learning as well as foundation models, generative AI applications, retrieval-augmented generation, AI agents, and Amazon Bedrock.
This training is suitable for:
- Machine learning engineers
- MLOps engineers
- LLMOps engineers
- Data engineers
- Backend developers
- DevOps professionals
- Data scientists
- Cloud engineers
- AI professionals
The certification does not guarantee employment or a specific salary. However, it can help demonstrate practical knowledge when combined with hands-on projects, programming skills, cloud experience, and machine learning practice.
Course Structure
Everything you need to know about the curriculum and outcomes.
Why Choose Us?
NYTCC offers practical and exam-focused AWS ML certification training for students and working professionals.
With NYTCC, learners receive:
- Structured certification preparation
- Simple explanations of AWS services
- Topic-wise learning guidance
- Practical ML workflow examples
- Mock tests and exam-style questions
- Revision and doubt-clearing support
- Guidance for MLA-C01 and MLA-C02 preparation
- Flexible online learning support
- Career-focused machine learning content
The training is designed to help you understand the concepts behind AWS machine learning solutions. You can review important topics, practise questions, identify knowledge gaps, and prepare according to your selected examination version.
AWS Certified Machine Learning Engineer – Associate Certification Exam Format
AWS is currently offering the MLA-C01 exam during the transition period and has introduced the MLA-C02 beta exam. Candidates should confirm the exact exam version and code during AWS registration.
| Exam detail | MLA-C01 | MLA-C02 beta |
| Certification level | Associate | Associate |
| Exam version | Current version | Updated beta version |
| Exam code | MLA-C01 | AWS exam guide: MLA-C02. AWS landing page beta table currently displays ME1-C02 |
| Duration | 130 minutes | 170 minutes |
| Total questions | 65 | 85 questions listed for beta delivery |
| Question types | Multiple choice, multiple response, ordering, and matching | Multiple choice and multiple response |
| Scored content | 50 scored questions and 15 unscored questions | Beta exams contain additional statistical-evaluation items |
| Passing score | 720 on a scale of 100–1,000 | Do not publish a fixed beta passing score |
| Examination cost | $150 USD | $75 USD beta pricing |
| Testing options | Pearson VUE test center or online proctored exam | Pearson VUE test center or online proctored exam |
| Languages | English, Japanese, Korean, and Simplified Chinese | English only during beta |
| Certification validity | Three years | Three years if certification is earned |
| English availability | Through September 28, 2026 | Beta delivery begins September 29, 2026 |
The AWS certification page lists 85 questions for the MLA-C02 beta. AWS also explains that beta exams contain additional questions for statistical evaluation. The official exam guide separately describes the standard scoring structure as 50 scored and 15 unscored questions. Therefore, the beta question count and standard scoring details should not be presented as exactly the same format.
AWS Certified Machine Learning Engineer – Associate Certification Examination Cost
The MLA-C01 exam cost is $150 USD. The MLA-C02 beta exam is listed at $75 USD.
Domains of AWS Certified Machine Learning Engineer – Associate Certification
Knowledge weightage as per official certification standards.
The certification has four major domains. The updated MLA-C02 exam keeps the same overall four-domain structure but changes the domain names and includes broader AI and generative AI topics.
| Domain | MLA-C01 weight | MLA-C02 weight |
| Data Preparation for Machine Learning / ML and AI | 28% | 28% |
| ML Model Development / ML Model and Foundation Model Development | 26% | 24% |
| Deployment and Orchestration of ML Workflows / ML and AI Workflows | 22% | 24% |
| ML Solution Monitoring, Maintenance, and Security / Operating, Monitoring, and Securing ML and AI Solutions | 24% | 24% |
The first domain covers data ingestion, transformation, validation, storage, and preparation for machine learning or AI modelling.
The second domain includes model selection, training, tuning, evaluation, model versioning, foundation models, and generative AI development.
The third domain focuses on deployment infrastructure, endpoints, compute resources, scaling, CI/CD, automation, and workflow orchestration.
The fourth domain covers monitoring, logging, troubleshooting, access management, encryption, compliance, responsible AI, and ongoing maintenance.
Career Post AWS Certified Machine Learning Engineer – Associate Certification
The AWS Certified Machine Learning Engineer – Associate Certification can support career development in cloud computing, machine learning, MLOps, and generative AI.
Potential career paths include:
- Machine Learning Engineer
- MLOps Engineer
- LLMOps Engineer
- Cloud ML Engineer
- Data Engineer
- AI Application Developer
- Backend Developer with ML skills
- DevOps Engineer for ML projects
- Data Scientist
The certification can help demonstrate that you understand how to implement, deploy, monitor, and maintain AWS machine learning solutions. Career results depend on your skills, experience, projects, location, and employer requirements.
Average Salary
The average annual salary for professionals with an AWS Certified Machine Learning Engineer – Associate certification typically ranges from $110,000 to $150,000 in the United States and ₹10 LPA to ₹22 LPA in India for mid-level roles.
Frequently Asked Questions
What is the AWS Certified Machine Learning Engineer – Associate Certification?
It is an Associate-level AWS certification that validates skills in building, deploying, operating, monitoring, and maintaining machine learning and AI solutions on AWS.
Is this certification good for beginners?
MLA-C01 focuses mainly on traditional machine learning engineering. MLA-C02 expands the content to include generative AI, foundation models, Amazon Bedrock, LLMs, agentic AI, and responsible AI.
Which exam version should I prepare for?
Prepare for the version you plan to schedule. MLA-C01 English delivery is available through September 28, 2026. MLA-C02 beta delivery begins September 29, 2026. Confirm the latest details with AWS before registration.
Do I need a previous AWS certification?
No previous AWS certification is listed as a prerequisite. AWS recommends relevant knowledge and practical experience, but specific prerequisite certification is not required.
Who should take this certification?
The certification is suitable for ML engineers, MLOps engineers, LLMOps engineers, data engineers, backend developers, DevOps professionals, data scientists, and cloud professionals.
How much does the exam cost?
MLA-C01 is listed at $150 USD. MLA-C02 beta pricing is listed at $75 USD. Taxes and regional pricing may apply.
What is the MLA-C01 passing score?
The MLA-C01 minimum passing score is 720 on a scaled score from 100 to 1,000.
How long is the certification valid?
The AWS Certified Machine Learning Engineer – Associate certification is valid for three years.
What are the AWS exam ID requirements?
For an online proctored exam, AWS requires one valid primary ID. At a test center, candidates generally need two primary IDs or one primary ID and one secondary ID. The name on the IDs must match the name in the AWS Certification Account.
Can I retake the exam if I fail?
For a standard AWS exam, candidates must wait 14 calendar days after failing before retaking it. There is no general limit on attempts, but the full exam fee applies to each attempt. MLA-C02 beta candidates can take the beta only once and must wait for the standard version if they need another attempt.
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