Beginner
12 hours 24 lessons
AI & Machine Learning Foundations
Learn the fundamentals of artificial intelligence and machine learning using Python. Get hands‑on with data preprocessing, model training, evaluation, and deployment best practices.
AI
Python
Machine Learning
No payment required.
Syllabus
Module 1 · VIDEO
25 min
Introduction to AI & ML
Overview of AI, ML paradigms, real-world applications, and tooling.
Module 2 · READING
35 min
Python for Data Science
NumPy, Pandas, and data manipulation essentials.
Module 3 · VIDEO
40 min
Supervised Learning
Regression, classification, and model training with scikit-learn.
Module 4 · QUIZ
15 min
Model Evaluation
Metrics: accuracy, precision, recall, F1; cross-validation basics.
Module 5 · VIDEO
30 min
Feature Engineering
Scaling, encoding, and feature selection techniques.
Module 6 · PROJECT
60 min
Mini Project: Predictive Model
Build and evaluate a small ML model end-to-end.
What you’ll learn
- Understand supervised vs. unsupervised learning
- Build ML pipelines with scikit-learn
- Evaluate models using common metrics
- Deploy simple models in production contexts
Getting started
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