🔷 Key Takeaways
| Course name | Machine Learning and AI with Python |
|---|---|
| Platform | edX |
| Price | Free to audit; $299 for a verified certificate |
| Duration | 6 weeks (October 15, 2025 – June 17, 2026) |
| Level | Intermediate |
| Prerequisites | Prior Python experience |
| Skills | Decision trees, random forests, model training, bias detection, data analysis, Python for ML |
About
Offered by Harvard via edX, this intermediate course introduces learners to the foundational algorithms behind machine learning and artificial intelligence, focusing on decision trees and expanding into more complex models like random forests. It blends practical data science challenges with real-world datasets to help you understand, implement, and refine machine learning models using Python.
WHO: Taught by instructors from the Harvard School of Engineering and Applied Sciences, this course is designed by experts in data science and AI education.
WHAT: You’ll explore data science problems using Python, decision trees, and machine learning models. Key topics include model training, recognizing and correcting data bias, avoiding under/overfitting, and leveraging Python libraries effectively in AI contexts.
SKILLS: You’ll learn to analyze datasets, build predictive models, and apply machine learning techniques using Python—gaining hands-on experience with tools essential for careers in AI and data science.
LEVEL: Best suited for learners with existing Python knowledge looking to deepen their machine learning understanding at an intermediate level.
