Your Step-by-Step Path
Step 1: Python Foundations
ML is done in Python. You need to be comfortable before tackling libraries and math.
CS50's Introduction to Programming with Python
36h · Free
Step 2: ML Fundamentals (Google)
Google's crash course is the clearest introduction to core ML concepts: linear regression, neural networks, feature engineering.
Machine Learning Crash Course
15h · Free
Step 3: ML with Python (freeCodeCamp)
Hands-on TensorFlow, classification, clustering, NLP, and reinforcement learning with real certification.
Machine Learning with Python
30h · Free
Step 4: Deep Learning (MIT)
CNNs, RNNs, and generative models taught by MIT researchers, free with labs and code.
MIT Introduction to Deep Learning
30h · Free
Step 5: Deep Learning Specialization
Andrew Ng's legendary course, the gold standard in online ML education.
Deep Learning Specialization (Andrew Ng)
120h · Free
More Courses to Explore
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.
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.
Harvard's 9-course data science certificate on edX. Covers R programming, data visualisation, probability, inference, regression, machine learning, and capstone.
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.
MIT's graduate-level machine learning course. Covers supervised and unsupervised learning, neural networks, SVMs, Bayesian methods, EM algorithm, and reinforcement learning.
Andrej Karpathy's free video series building neural networks from scratch — from backpropagation all the way to GPT. Widely considered the single best free deep-learning course available. Taught by an OpenAI founding member and ex-Tesla AI director.