Career Path

Machine Learning/AI Engineer

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.

This career path includes
23,467 learners enrolled
This career path includes
  • Skill level

  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
    45 hours
  • Projects

  • Prerequisites


About this career path

Ever wonder how Netflix recommends what you should watch? Algorithmic decision-making is everywhere. From detecting fraudulent transactions to recommending movies to figuring out the nearest car for a ride, so many of the applications we use every day rely on this. What powers these systems? Machine Learning Engineering!

Average Salary (US)


7 units • 39 lessons • 37 projects • 33 quizzes
  • 1

    Introduction to Machine Learning Engineer Career Path

    Discover what you will learn on your journey to becoming a Machine Learning Engineer!

  • 2

    Machine Learning Fundamentals

    Machine Learning is all around us, and this Skill Path will introduce you to the foundational algorithms and techniques.

  • 3

    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.

  • 4

    Intermediate Machine Learning

    Learn intermediate machine learning methods!

  • 5

    Building Machine Learning Pipelines

    Learn how to build machine pipelines!

  • 6

    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.

  • 7

    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!

  • Certificate of completion available with Plus or Pro

    Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.

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Frequently asked

  • Career paths teach you exactly what you need to start a new career. Curated by our team of experts, career paths contain a collection of courses, projects, prep for technical interviews, and more. By the end, you’ll be ready to start interviewing for entry-level jobs in the career of your choice.

Everything you need for a Machine Learning/AI Engineer career

  • Job-readiness checker
    Use AI to evaluate how well your skills and experience meet the requirements of a job posting.
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  • Portfolio projects
    Apply what you're learning to create recruiter-ready projects for your portfolio.
  • Interview simulator
    Use AI to identify strengths and see how to improve your interviewing skills to land your dream tech job.
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  • Job listings
    Get personalized job postings, connect with employers hiring tech talent, and easily apply for open roles.
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How it works

Start your new career faster

  1. Learn the skills

    This expertly curated career path gives you all the knowledge and experience you need to start this career.
  2. Prep for interviews

    Assess if you're ready to apply for jobs, then build your confidence with code challenges and practice questions.
  3. Get hired

    Showcase your skills with a Codecademy professional certification and connect with employers directly.

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