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AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide

The ultimate guide to passing the MLS-C01 exam on your first attempt

Somanath NandaWM

Created by Somanath Nanda, Weslley Moura

Get ready to prove your machine learning skills on AWS and confidently tackle the MLS-C01 exam. You'll learn how to design, deploy, and monitor machine learning models using AWS services, while mastering the techniques needed for real-world projects and certification success.

Packt | Feb 2024 | 342 min

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LevelExpert
CategoriesData Science, Deep Learning Architectures and Frameworks, Amazon Web Services

What You Will Learn

You'll work through practical examples that mirror real AWS machine learning scenarios. Along the way, you'll answer self-assessment questions, review exam tips, and test your knowledge with mock exams. Each step helps you build confidence and deepen your understanding of AWS ML services and workflows.

Key Features

  • Develop and deploy machine learning models using AWS tools and best practices
  • Prepare and transform data for machine learning tasks, including handling missing values
  • Build, monitor, and optimize ML pipelines for production environments on AWS

Target Audience

Ideal for professionals and students aiming to pass the AWS Certified Machine Learning Specialty exam or expand their AWS machine learning expertise. If you already know the basics of machine learning and have some AWS experience, you'll gain the targeted skills and confidence needed to succeed.

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