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Codecademy

Machine Learning/AI Engineer

via Codecademy Path

Overview

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Machine Learning/AI Engineers build end-to-end ML applications and power many of the apps we use every day. They work in Python, Git, & ML. Includes **Python**, **Machine Learning**, **Software Engineering**, **Algorithms**, **Pandas**, **scikit-learn**, **Git**, **Bash**, and more.

Syllabus

  • Introduction to Machine Learning Engineer Career Path
    • Discover what you will learn on your journey to becoming a Machine Learning Engineer!
  • Machine Learning Fundamentals
    • Machine Learning is all around us, and this Skill Path will introduce you to the foundational algorithms and techniques.
  • Software Engineering for Machine Learning/AI Engineers
    • Learn the skills to bridge the gap between machine learning and software engineering, and prepare to solve problems on an engineering team.
  • Intermediate Machine Learning
    • Learn intermediate machine learning methods!
  • Building Machine Learning Pipelines
    • Learn how to build machine pipelines!
  • Machine Learning/AI Engineer: Final Portfolio
    • Show off your knowledge of machine learning engineering by developing your final portfolio project on a topic of your choice.
  • Machine Learning Career Path: Next Steps
    • Review what you learned in the Data Scientist: Machine Learning Specialist Career Path and explore ways to deepen your knowledge!

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