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.

15,285 learners enrolled

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  • Skill level

    Intermediate

  • Time to complete

    4 months

  • Certificate of completion

    Yes

  • Prerequisites

    None

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)
$127,000

Syllabus

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!

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The platform

Hands-on learning

Don't just watch or read about someone else coding — write your own code live in our online, interactive platform. You'll even get AI-driven recommendations on what you need to review to help keep you on track.
Animated demonstration of running code in Codecademy's learning environment

Projects in this career path

  • The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.
    Chris
    Codecademy Learner @ USA
  • I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.
    Rodrigo
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    John-Andrew
    Codecademy Learner @ USA

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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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  • 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.

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