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.

15,057 learners enrolled

Create free account

Mini Info Outline Icon
By signing up, you agree to our Terms of Service & Privacy Policy. This site is protected by reCAPTCHA and the Google Privacy Policies & Terms of Service.

Or sign up with

Have an account?
  • Skill level

  • Time to complete

    4 months
  • Certificate of completion

  • 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!

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
  • 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.
    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.
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    Codecademy Learner @ USA

Our learners work at

  • Google Logo
  • Meta Logo
  • Apple Logo
  • EA Logo
  • Amazon Logo
  • IBM Logo
  • Microsoft Logo
  • Reddit Logo
  • Spotify Logo
  • Uber Logo
  • YouTube Logo
  • Instagram Logo
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.

Become a Data Scientist

Start my career change

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.