MySmartCoPilot Learn

AI and machine learning

From using AI tools well to building with models: machine learning, deep learning, applications built on large language models, and the engineering that keeps models running.

11 tracks

Machine Learning (scikit-learn)

Planned outline: 15 modules, starting with “Machine learning foundations and the scikit-learn API”. Coming soon

AI Literacy & Prompting

Planned outline: 11 modules, starting with “How AI works, in plain words”. Coming soon

Building LLM Applications

Planned outline: 15 modules, starting with “Start here: LLM features and a zero-cost workbench”. Coming soon

Artificial Intelligence (classical AI and soft computing)

Planned outline: 16 modules, starting with “Start here: what AI is and how this track works”. Coming soon

Mathematics for Machine Learning

Planned outline: 14 modules, starting with “Orientation, notation and the numerical toolkit”. Coming soon

Deep Learning (PyTorch)

Planned outline: 18 modules, starting with “Neural network basics”. Coming soon

Build a Small LLM from Scratch

Planned outline: 11 modules, starting with “Start here: the pipeline, the model ladder and the workbench”. Coming soon

Natural Language Processing

Planned outline: 14 modules, starting with “Start here: what NLP is and a reproducible workbench”. Coming soon

Computer Vision

Planned outline: 20 modules, starting with “Start here: images, pixels and the CV toolbox”. Coming soon

MLOps

Planned outline: 15 modules, starting with “Foundations: what MLOps is and how to start”. Coming soon

Reinforcement Learning (Gymnasium and PyTorch)

Planned outline: 16 modules, starting with “Start here: the RL problem and your toolkit”.