Applied AI & Machine Learning For Beginners

The course covers supervised and unsupervised learning, model evaluation, and the practical workflow data scientists use every day. We also touch on neural networks and the basics of deep learning, giving you a clear mental model of how large AI systems are built on top of these fundamentals. No prior machine-learning experience is required — only basic programming familiarity.

What Will You Learn?

You will learn to prepare and clean data, train classification and regression models with scikit-learn, measure accuracy and avoid overfitting, and build a simple neural network. You will also gain an intuition for responsible AI — understanding bias, fairness, and the limits of automated decision-making.