Looking for something else?
Full-Stack Engineer
A full-stack engineer can get a project done from start to finish, back-end to front-end.
Career Path
Beginner friendly, 168 lessons
Become a Machine Learning Engineer
Made with❤️ in NYC © 2022 Codecademy
In this path, you’ll learn how to solve business challenges with machine learning systems and decision-making algorithms.
About this Career Path
- Build machine learning apps: Build machine learning models, then turn them into applications to enable better decision-making.
- Maximize your algorithms: Tune your machine learning models to minimize run time and maximize performance.
- Prepare for your career: Get job-ready with portfolio projects and more.
Beginner
Skill level
$127,000
Average salary (US)
4,000+
Recent learners
Projects you’ll build
Classify Raisins with Hyperparameter Tuning!
Implement the hyperparameter tuning methods to solve a simple yet very challenging project.
Predict Wine Quality with Regularization
Build a wine quality classifier with logistic regression using regularization!
Find the flag!
Use decision trees to predict what continent a flag comes from based on features like color and shape.
Computer Science
Learn Computer Science fundamentals, build a professional portfolio, and prepare for an entry-level role in tech.
Career Path
Beginner friendly, 82 lessons
Which career is right for you?
Learn which careers and languages suit your personal interests and strengths best in this short and free resource.
Top companies trust Codecademy to level up their teams. Learn more
Career Path
Machine Learning / AI Engineer Career Path
Ever wonder how Netflix recommends what you should watch? Algorithms are everywhere, and organizations need engineers to power these systems. Get the specialized skills and portfolio you need to start your career as a Machine Learning/AI Engineer in this curated career path.
Includes Python, Machine Learning, Algorithms, Pandas, scikit-learn, and more
Write live code, build projects, and practice for interviews
Finish in 4 months with a certificate of completion
Reviews from other learners
"Lessons are in a logical order, with easy to follow applications and projects, and full explanations given for everything taught, in multiple ways; so that no matter how you learn, Codecademy can help you."
Robert
Codecademy Learner @ USA
"Codecademy has launched my learning and comprehension progress beyond what I thought possible."
Norman
Codecademy Learner @ USA
"Codecademy is the best place to learn out there! Most of the other courses just have videos. Codecademy has a platform on which we can code and we get instant feedback."
Jefrin
Codecademy Learner @ India
Syllabus
Introduction to Machine Learning Engineer Career Path
Discover what you will learn on your journey to becoming a Machine Learning Engineer!
1
Machine Learning Fundamentals
Machine Learning is all around us, and this Skill Path will introduce you to the foundational algorithms and techniques.
2
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.
3
Intermediate Machine Learning
Learn intermediate machine learning methods!
4
Building Machine Learning Pipelines
Learn how to build machine pipelines!
5
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.
6
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!
7
7 units • 37 projects • 39 lessons