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Course
- Cloud
AWS Certified Machine Learning Engineer - Associate (MLA-C01): ML Model Development
This course covers the ML Model Development domain of the Machine Learning Engineer Associate certification exam. This course will teach you the concepts and skills needed to pass this domain of the exam.
What you'll learn
AWS has a broad range of machine learning services to help businesses approach complex problems. In this course, AWS Certified Machine Learning Engineer - Associate (MLA-C01): ML Model Development, you’ll learn to navigate these services and select the approach that is most appropriate for your machine learning (ML) solutions. First, you’ll explore AWS managed ML and AI services that are purpose-built for specific use cases. Next, you’ll discover built-in algorithms to tackle more complex ML challenges using Amazon SageMaker. Finally, you’ll learn how to monitor your models and make adjustments throughout training. When you’re finished with this course, you’ll have the skills and knowledge of machine learning engineering on AWS needed to pass this domain of the exam.
Table of contents
About the author
David has always had an interest in learning and teaching complex systems. Before he was working with AWS, he spent his days learning and teaching board games at his local board game cafe in hometown Columbus, OH. Over the last six years working in tech, he has gone from a self-taught Ruby developer to a 4x AWS certified senior consultant in cloud technologies, and now a Training Architect at Pluralsight. David holds both professional-level AWS certifications and is passionate about helping people unlock their career potential through learning cloud skills. When he's not building courses, you can find David out hiking around Seattle with his wife Myia and his dog Oliver, or inside playing board games or role playing games.
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