Before you sign up
Suits ML engineers, data engineers and developers with at least a year of Amazon SageMaker experience who are close to sitting MLA-C02. The main caveat is that some content needs an AWS Skill Builder subscription with no price shown, and AWS labels the plan Fundamental although it expects a year in a related role. To learn the material first, AWS points to the AWS ML Engineer Associate Learning Plan.
What you'll learn
Four-step AWS Skill Builder plan to prepare for the AWS Certified Machine Learning Engineer - Associate (MLA-C02). Inside are practice assessments with more than 125 exam-style questions, hands-on labs, videos reviewing each exam domain and task statement, and 100 flashcards, with a stated duration of 16 hours.
More courses on machine learning.
Who it's for
Developers and engineers, Data scientists and analysts.
Level: intermediate (our rating). Delivery: online, self-paced.
Prerequisites
At least 1 year using Amazon SageMaker and other AWS services for ML engineering, and at least 1 year in a related role such as backend developer, DevOps developer, data engineer or data scientist
Is Exam Prep Plan: AWS Certified Machine Learning Engineer - Associate (MLA-C02 - English) free?
Free to learn. Some parts paid. Some content needs an AWS Skill Builder subscription; subscription price not stated on the page; the certification exam is separate.
Certificate: certificate not stated.
Questions people ask
How much does this course cost?
Free to learn. Some parts paid.
How long does this course take?
About 16 hours, self-paced.
Do I need experience first?
It's an intermediate course (our rating; the provider does not state a level). Prerequisites: At least 1 year using Amazon SageMaker and other AWS services for ML engineering, and at least 1 year in a related role such as backend developer, DevOps developer, data engineer or data scientist.
When does it start?
Start any time.