AWS Certified Machine Learning Engineer - Associate

Teams often cite this credential when documenting who is trained to build and secure machine learning workloads on AWS, including IAM access control and network isolation for SageMaker and data resources. CBT Nuggets team reporting provides per-learner progress, completion, and completion exports that IT leaders can file as audit evidence, while the auditor's control crosswalk decides how the certification maps to any formal framework.

It fits the DevOps engineers, system administrators, and cloud engineers who will stand up and run ML workloads on AWS. The linked course prepares them to own data storage and database choices, data wrangling with AWS Glue and Glue DataBrew, inbound streaming data, SageMaker domain setup, labeling and data augmentation, and feature stores. It also prepares them to frame business problems as ML tasks and to train and tune models with SageMaker built-in algorithms, SageMaker JumpStart, and hyperparameter tuning.

CBT Nuggets AWS Certified Machine Learning Engineer - Associate courses are built by named expert trainers. Where a course includes hands-on virtual labs or a practice exam mapped to AWS's published exam objectives, the course list on this page says so. Team admin reporting tracks assignment, completion and exam readiness per engineer — the view managers use to run a team training program.

From the admin console, managers assign the AWS Certified Machine Learning Engineer - Associate courses directly to specific engineers or role groups and track completion and practice-exam scores per learner. Team-wide reporting rolls up to a single dashboard you can review or export for leadership reviews or compliance reporting.

The linked CBT Nuggets training totals about 25 hours of video across the live courses. Actual time to certify depends on each engineer's starting point with AWS data services and SageMaker, and team reporting lets IT leaders track course completion across the group before exams are scheduled.

CBT Nuggets updates AWS course content as exam objectives refresh, and this page shows the current exam's status and any retirement date the vendor has announced. When AWS restructures or renames a track, the assigned training stays aligned with the same team training plan, and the training stays current without anyone losing their progress mid-stream.