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Understand the machine underneath modern AI without writing a line of code. Learn what a neuron does, why weights are the only place a model stores knowledge, how layers build their own concepts, and how training actually works through loss, gradient descent, and backpropagation.
2 módulos • 6 lecciones
Learn what physically happens when AI runs. See which parts of a computer matter for AI, why GPUs and AI chips took over, why memory is the real limit on model size and speed, how quantization shrinks models, and what goes on inside the data centers that train and serve them. No code, no math.
Finally see how AI, machine learning, deep learning, and generative AI fit together. Learn where rules end and learning begins, what the "deep" in deep learning actually changes, when simpler machine learning still wins, and how to place any real product on the map. No code, no math.
Go one level under the hood of ChatGPT, Claude, and Gemini. Understand tokens, next-token prediction, context windows, model parameters, Mixture of Experts, and why AI models cost money to run. A short, no-code course for people who use AI every day.
Understand machine learning from the ground up — without writing a single line of code. Use ChatGPT, Claude, Gemini, Perplexity, and Google's Teachable Machine to build, test, and explain ML models. Built for university students and early-career learners with zero technical background. Earn a free certificate to add to your LinkedIn and resume.
Master machine learning from the ground up. Learn supervised and unsupervised learning, build models with scikit-learn, and understand the intuition behind algorithms like linear regression, decision trees, and neural networks. Hands-on Python exercises with real datasets.
Master linear algebra through the lens of artificial intelligence. Learn vectors, matrices, dot products, eigenvalues, and tensors by seeing exactly how they power neural networks, transformers, embeddings, and other AI systems.