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Codecademy

MLS-C01: AWS Certified Machine Learning - Specialty

via Codecademy Path

Overview

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Prepare for AWS MLS-C01 Machine Learning certification covering model building, training, tuning, deployment, and cloud-based ML implementation.

Syllabus

  • Data Engineering
    • <p>In this track of the MLS-C01: AWS Certified Machine Learning - Specialty journey, you will explore machine learning with AWS, S3 simple storage, data movement, pipelines, and finish with Jupyter Notebook.</p>
  • Data Analysis and Feature Engineering
    • <p>In this track of the MLS-C01: AWS Certified Machine Learning - Specialty journey, you will explore data analysis, feature engineering, problem framing, and also Athena, Quicksight &amp; EMR</p>
  • Machine Learning in SageMaker
    • <p>In this track of the MLS-C01: AWS Certified Machine Learning - Specialty journey, you will learn about SageMaker and AI/ML services.</p>
  • Data Preparation and Model Training
    • <p>In this track of the MLS-C01: AWS Certified Machine Learning - Specialty journey, you will learn about data collection, SageMaker applications &amp; security, model training, and AI services.</p>
  • Take the Practice Exam
    • <p>Practice exams are designed to help you prepare for the exam and perform on exam day. Study at your own pace, whenever you want, and wherever you are most comfortable. Practice with exam-like questions.</p>
  • Schedule your Exam
    • After completing your studies, schedule your exam with the third-party provider.
  • Upload Certification
    • After you receive notification that you’ve been certified, upload your certification to achieve completion.

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