Machine LearningBeginner
Machine Learning Crash Course
Google's fast-paced introduction to machine learning. Covers ML concepts, TensorFlow APIs, and real-world case studies. Written and maintained by Google engineers. Completely free.
Language hub
Free Machine Learning Courses
Machine learning courses vary more in difficulty than any other category here, so pick based on your actual background, not ambition. Google's Machine Learning Crash Course and Kaggle's Intro to Machine Learning are the right starting points if you're new: both are short, practical, and don't require much math beyond algebra. Once you're comfortable with Python, freeCodeCamp's Machine Learning with Python course and MIT's Introduction to Deep Learning build real technical depth. Andrew Ng's Deep Learning Specialization on Coursera and Andrej Karpathy's Neural Networks: Zero to Hero are both advanced and both worth the time, but expect to need linear algebra and a working knowledge of Python before you start either one.
10Free courses
6With certificate
Related Learning Paths
Build projects in Machine Learning
6 free Machine Learning courses include a certificate
See all free coding courses with certificates →Every free Machine Learning course
freeCodeCampCertificate
Machine LearningIntermediate
Machine Learning with Python
freeCodeCamp's machine learning curriculum. Covers TensorFlow, neural networks, natural language processing, and reinforcement learning. Build and train models through five certification projects. Free certificate.
edXCertificate
Machine LearningIntermediate
HarvardX Data Science Professional Certificate
Harvard's 9-course data science certificate on edX. Covers R programming, data visualisation, probability, inference, regression, machine learning, and capstone.
CourseraCertificate
Machine LearningAdvanced
Deep Learning Specialization (Andrew Ng)
Andrew Ng's landmark Deep Learning Specialization on Coursera. Five courses covering neural networks, CNNs, RNNs, optimisation, and ML strategy. Free to audit; certificate costs money.
Machine LearningAdvanced
Machine Learning (MIT 6.867)
MIT's graduate-level machine learning course. Covers supervised and unsupervised learning, neural networks, SVMs, Bayesian methods, EM algorithm, and reinforcement learning.
Machine LearningAdvanced
Neural Networks: Zero to Hero
Andrej Karpathy's free video series building neural networks from scratch, starting with backpropagation and ending at GPT. Widely considered the single best free deep-learning course available. Taught by an OpenAI founding member and ex-Tesla AI director.
Kaggle LearnCertificate
Machine LearningBeginner
Intro to Machine Learning (Kaggle)
Kaggle Learn's micro-course on machine learning fundamentals using scikit-learn. Covers decision trees, model validation, underfitting and overfitting, and random forests. Three hours, all in browser-based notebooks.
Kaggle LearnCertificate
Machine LearningIntermediate
Intermediate Machine Learning (Kaggle)
Kaggle Learn's follow-up to Intro to ML. Covers missing values, categorical variables, pipelines, cross-validation, XGBoost, and data leakage. Four hours of focused, applied content.
Kaggle LearnCertificate
Machine LearningIntermediate
Intro to Deep Learning (Kaggle)
Kaggle Learn's introduction to deep learning with TensorFlow and Keras. Covers neural networks, dropout, batch normalization, and binary classification. Hands-on with real datasets.
Machine LearningIntermediate
MIT Introduction to Deep Learning
MIT's annual deep learning course. Covers deep learning fundamentals, CNNs, RNNs, generative models, and responsible AI. Lecture videos updated annually and completely free.