Resources to help you prepare for AWS Certified Machine Learning Engineer - Associate

Resources to help you prepare for AWS Certified Machine Learning Engineer - Associate

Exam Prep Resource Hub

Jenna Seybold
Amazon Employee
Published Jul 29, 2024
Last Modified Aug 21, 2024

Join the Get AWS Certified: Associate Challenge!

  • *Please note: The beta exam for the AWS Certified Machine Learning Engineer - Associate is priced at $75 USD (50% off the full price), and no additional discounts will be available during the beta period. Once the standard version of this exam is available, the 50% discount through this Associate Challenge will be applicable to this exam.
Validate your technical ability to implement machine learning workloads in production and operationalizing them. This certification is for candidates who are in ML engineering or ML Ops roles
Join the Get AWS Certified: Associate Challenge before December 12, 2024 and get guiance through your exam preparation process.

Who should earn their AWS Certified Machine Learning Engineer - Associate ?

The ideal candidate for this certification are individuals with at least 1 year of experience using Amazon SageMaker and other ML engineering AWS services

Prepare for the exam

Go from start to certified. Follow our 4-step Exam Prep Plan on AWS Skill Builder, our online learning center, so you can approach exam day with confidence.
Step 1: Get to know the exam with exam- style questions
Step 2: Refresh your AWS Knowledge and skills
  • Enroll in digital courses where you need to fill gaps in knowledge and skills, practice with AWS Builder Labs, AWS Cloud Quest and AWS Jam.
Step 3: Review and practice for your exam
Step 4: Assess your exam readiness
Exact materials vary by the certification exam. Some materials require an AWS Skill Builder subscription.
Don't miss out on FREE Twitch training with AWS Power Hour: ML Engineer Associate beginning August 16th!

Good luck on your AWS Certified Machine Learning Engineer - Associate exam!

 

Any opinions in this post are those of the individual author and may not reflect the opinions of AWS.

5 Comments