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AWS Machine Learning Engineer Associate Exam Prep

This course prepares learners for the AWS Certified Machine Learning Engineer – Associate certification while building practical skills in implementing and...

By Neal Davis on Coursera

About This Course

This course prepares learners for the AWS Certified Machine Learning Engineer – Associate certification while building practical skills in implementing and operationalizing machine learning workloads on AWS. Through a combination of clear theory, architectural diagrams, and hands-on demonstrations, the course explains how machine learning solutions are designed, deployed, and managed in real-world cloud environments. Learners will explore the key concepts required for building production-ready ML systems, including data preparation, model training, deployment strategies, and monitoring ML workloads in AWS. The course also introduces the AWS services and tools commonly used to develop scalable and reliable machine learning solutions. By the end of the course, learners will understand how to implement and manage ML workflows on AWS and will be well prepared to take the AWS Certified Machine Learning Engineer – Associate exam.

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Frequently Asked Questions

How much does AWS Machine Learning Engineer Associate Exam Prep cost?

Visit the AWS Machine Learning Engineer Associate Exam Prep course page for current pricing and available discounts.

Who teaches AWS Machine Learning Engineer Associate Exam Prep?

AWS Machine Learning Engineer Associate Exam Prep is taught by Neal Davis, Neal Davis.

What skill level is AWS Machine Learning Engineer Associate Exam Prep for?

This course is designed for all levels learners.

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Students0
Duration12 hours
LevelAll Levels
Languageen
PlatformCoursera
InstructorNeal Davis