Learn Machine Learning & AI

Learn Machine Learning & AI is a structured course that takes you from "what is machine learning" to understanding the algorithms behind modern artificial intelligence, in short lessons you can read on your phone.

No prior AI experience required. If you can follow basic algebra and a little Python, you can follow this course.

WHAT YOU WILL LEARN

Machine Learning Foundations

What machine learning is, how it differs from traditional programming, the machine learning workflow, training and test data, overfitting, underfitting, bias and variance, and how models are evaluated.

Supervised Learning

Linear regression, logistic regression, decision trees, random forests, support vector machines, k nearest neighbours and naive Bayes, each with the intuition behind it and where it is actually used.

Unsupervised Learning

K means clustering, hierarchical clustering, dimensionality reduction, principal component analysis and anomaly detection.

Deep Learning and Neural Networks

Perceptrons, activation functions, backpropagation, convolutional neural networks for images, recurrent networks and LSTMs for sequences, and an introduction to transformers.

Reinforcement Learning

Agents, environments, rewards, Q learning and policy based methods explained without heavy mathematics.

Natural Language Processing

Tokenization, embeddings, sentiment analysis, and how large language models are built on top of these ideas.

Tools and Libraries

Where Python, TensorFlow, Keras, scikit learn, NumPy and Pandas fit into a real machine learning workflow.

Applied Machine Learning

How these methods are used in healthcare, finance, recommendation systems, fraud detection, computer vision and forecasting.

BUILT FOR LEARNING ON A PHONE

Short lessons. Each topic is broken into sections you can finish in a few minutes, so you can make progress in the gaps in your day rather than waiting for a free evening.

Plain language first, mathematics second. Every algorithm is explained in words before any notation appears, so you understand what it does before you see how it is written.

Search across the whole course, so you can look up a term the moment you hit it in an article or a lecture.

Bookmarks and resume, so a long topic survives being interrupted.

Continuously updated as the field moves.

WHO THIS APP IS FOR

Students taking a machine learning, artificial intelligence or data science course who want a second explanation when the lecture did not land.

Software developers moving into machine learning engineering or data science.

Candidates preparing for machine learning and data science interviews, where the questions are still mostly about fundamentals.

Analysts and professionals who need to understand what an AI system in their industry is actually doing.

Anyone curious about how artificial intelligence works underneath the products they use every day.

WHY LEARN MACHINE LEARNING NOW

Machine learning has stopped being a specialist skill and become part of the baseline for technical work. Understanding how models are trained, why they fail, and what they can and cannot do is now useful in almost every technical role — and increasingly in non technical ones.

This course gives you that understanding in a format you will actually finish: short lessons, clear language, no video to buffer, no account required.

Open your first lesson today.

Questions, corrections or a topic you would like added? Email [email protected] — we update the app based on what learners ask for.