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.
Create free account
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
Skill level
IntermediateTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary45 hoursCertificate of completion
YesPrerequisites
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!
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!
Projects in this career path
- Project
Building ML Pipelines
Use pipelines to create reusable, succinct code to predict patient survival for the bone marrow transplant dataset. - Project
Transforming Data into Features
Perform data transformations on a clothing company customer review dataset! - Project
Predict Credit Card Fraud
Use Logistic Regression to predict credit card fraud.
- 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.ChrisCodecademy 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.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
Our learners work at
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.
Start your new career faster
Learn the skills
This expertly curated career path gives you all the knowledge and experience you need to start this career.Prep for interviews
Assess if you're ready to apply for jobs, then build your confidence with code challenges and practice questions.Get hired
Showcase your skills with a Codecademy professional certification and connect with employers directly.
Become a Data Scientist
Start my career changeLooking for something else?
Related resources
- Article
Set Up with Git and GitHub
Never fear losing work with this professional versioning system - Article
Git Setup for Mac and Windows Computers
Never fear losing work with this professional versioning system - Article
Getting Started with Git and GitHub Desktop
An introduction to the most widely used version control system – Git
Related courses and paths
- Free course
Build a Machine Learning Pipeline
Learn how to build machine pipelines that automate your workflow and keep everything consistent.Intermediate1 hour - Skill path
Software Engineering for Data Scientists
Data Scientists often work with engineering teams. Learn the software engineering skills you need to bridge the gap between data science andIncludes 7 CoursesWith CertificateIntermediate21 hours - Free course
Ensemble Methods in Machine Learning
Explore bagging, boosting, stacking, and more in this introduction to ensemble methods in machine learning.Intermediate2 hours
Browse more topics
- Data Science5,886,759 learners enrolled
- Machine Learning1,034,329 learners enrolled
- AI2,779,575 learners enrolled
- Code Foundations13,348,259 learners enrolled
- For Business9,835,892 learners enrolled
- Computer Science7,576,742 learners enrolled
- Web Development6,971,190 learners enrolled
- Python4,614,864 learners enrolled
- Cloud Computing4,179,709 learners enrolled