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- AI
- Cloud
- Data
AWS Certified Machine Learning Engineer - Associate (MLA–C01)
This path covers everything you need to know to prepare for you AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam. The path is made up of courses based on each domain of the exam:
- Data Preparation for Machine Learning (ML) - ML Model Development - Deployment and Orchestration of ML Workflows - ML Solution Monitoring, Maintenance, and Security
Along the way our Authors will provide you with tips for passing the exam, and walkthroughs of exam questions to help you brush up on your exam skills.
Content in this path
Start your AWS Certified Machine Learning Engineer journey!
This path covers everything you need to know to prepare for you AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam. The path is made up of courses based on each domain of the exam:
- Data Preparation for Machine Learning (ML) - ML Model Development - Deployment and Orchestration of ML Workflows - ML Solution Monitoring, Maintenance, and Security
Along the way our Authors will provide you with tips for passing the exam, and walkthroughs of exam questions to help you brush up on your exam skills.
Try this certification path for free
Build confidence to ace your certification exam with a variety of prep tools, including video courses, labs, and practice exams.
What You'll Learn
- 1. Knowledge of SageMaker capabilities and algorithms for model building and deployment
- 2. Knowledge of monitoring tools for logging and troubleshooting ML systems
- 3. Knowledge of AWS data storage and processing services for preparing data for modeling
- At least 1 year of experience in a related role. such as a backend software developer, DevOps developer, data engineer, or data scientist.
- AWS
- Cloud
- Machine Learning
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