MIT OCW — ಉಚಿತ AI Courses

MIT's classic undergraduate AI course taught by Patrick Winston — search, constraints, learning, and reasoning.

MIT's flagship intro to deep learning — updated annually. CNNs, RNNs, generative models, RL, and labs in TensorFlow.

MIT graduate course on applying ML to clinical and healthcare data — risk stratification, causal inference, fairness.

Gilbert Strang's celebrated course on the linear algebra foundations of ML — SVD, PCA, optimization, neural nets.

MIT's graduate deep learning course — modern architectures, training, generative models, and applications.