Current
Beginner
Machine Learning/AI Engineer
Codecademy · Codecademy · Updated March 2026
Platform rating
4.6/5
AI Tutor Rating
8.6/10
Duration
50 hours
Classes
39
Career path for end-to-end machine learning engineering, including model development, pipelines, and portfolio projects.
What you'll get
Develop and evaluate ML models
Build production-oriented ML pipelines
Bridge software engineering with ML delivery
Produce portfolio-grade capstone projects
Fit
Best for
Developers
AI Engineers
Data Scientists
Technical Builders
Not ideal for
Experts seeking deep specialization
Prerequisites & pricing
Prerequisites
None
Pricing
Subscription (Pro)
Certification
Certificate
Growth Leverage: Completing the Machine Learning/AI Engineer course positions you for advanced roles such as Machine Learning Engineer, Data Scientist, or AI Developer. It also opens opportunities for certifications like TensorFlow Developer or AWS Certified Machine Learning, increasing your employability in a rapidly growing field.
Skills Value: The skills acquired enable you to build and deploy scalable ML models, addressing high-demand business needs, which translates to competitive salaries averaging $120,000 per year. Employers are willing to pay premiums for expertise that drives innovation and efficiency in their tech solutions.
Machine Learning
MLOps
Python
Portfolio