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.
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Skill level
IntermediateTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary50 hoursProjects
37Prerequisites
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!
Certificate of completion available with Pro
Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.
Take your skills into the real world with projects
Practice new skills, connect concepts, and put it all together to create something of your own.- portfolio Project
Machine Learning Career Path Portfolio Project
Bring together all of your machine learning engineering skills into a portfolio project. Implement an end-to-end workflow and turn it into a machine learning pipeline that is performant, reproducible and productionizable! - practice Project
Building ML Pipelines
Use pipelines to create reusable, succinct code to predict patient survival for the bone marrow transplant dataset. - practice Project
Transforming Data into Features
Perform data transformations on a clothing company customer review dataset!
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Earn a certificate of completion
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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.
Everything you need for a Machine Learning/AI Engineer career
- Job-readiness checkerUse AI to evaluate how well your skills and experience meet the requirements of a job posting.Powered by AI
- Portfolio projectsApply what you're learning to create recruiter-ready projects for your portfolio.
- Interview simulatorUse AI to identify strengths and see how to improve your interviewing skills to land your dream tech job.Powered by AI
- Job listingsGet personalized job postings, connect with employers hiring tech talent, and easily apply for open roles.
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?
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