Current
Intermediate
AI Tutor Pick
Machine Learning and AI with Python
edX · Harvard University · Updated March 2026
Platform rating
4.8/5
AI Tutor Rating
8.8/10
Duration
6 weeks
Classes
20
Harvard's ML course covering supervised learning, regularization, neural networks, and practical AI implementation with Python and scikit-learn.
What you'll get
Build supervised and unsupervised ML models
Apply regularization and cross-validation
Implement neural networks from scratch
Deploy ML models for real-world tasks
Fit
Best for
Developers
AI Engineers
Data Scientists
Technical Builders
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Python and basic statistics
Pricing
Free (verified: $199)
Certification
Certificate
Growth Leverage: Completing this course can lead to roles such as Machine Learning Engineer, Data Scientist, or AI Specialist, opening opportunities in tech giants, startups, or research institutions. It also prepares candidates for certifications like AWS Certified Machine Learning, enhancing their career prospects significantly.
Skills Value: The skills acquired allow professionals to design and implement effective ML models, addressing real-world challenges like predictive analytics and automating tasks, making them highly valuable in the job market where AI-related roles see salary premiums ranging from 10% to 30%.
Machine Learning
Python
scikit-learn
Harvard
Neural Networks