AI & ML · From your first model to how large language models work
AI and machine learning
How machines learn from data, from a straight-line fit to transformers, LLMs and agents. Every lesson is a small machine you can step through, then a short quiz.
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Part of: AI engineer
Module 01 Beginner
Foundations
What learning from data means and the core loop of training.
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Lesson 01 · 10 min
What AI and machine learning are
10 stepsNot started - Lesson 02
Data and features
Coming soon - Lesson 03
Linear regression
Coming soon - Lesson 04
Classification
Coming soon - Lesson 05
Loss: measuring mistakes
Coming soon - Lesson 06
Gradient descent
Coming soon
Module 02 Intermediate
Classic machine learning
Trees, evaluation, clustering and fewer dimensions.
- Lesson 07
Decision trees
Coming soon - Lesson 08
Overfitting and generalisation
Coming soon - Lesson 09
Evaluating models
Coming soon - Lesson 10
Clustering
Coming soon - Lesson 11
Dimensionality reduction
Coming soon
Module 03 Intermediate
Deep learning
Neural networks and how they learn.
- Lesson 12
Neurons and activations
Coming soon - Lesson 13
Neural networks
Coming soon - Lesson 14
Backpropagation
Coming soon - Lesson 15
Convolutional networks
Coming soon - Lesson 16
Embeddings
Coming soon - Lesson 17
Attention and transformers
Coming soon
Module 04 Advanced
LLMs in practice
How large language models are built and used.
- Lesson 18
Tokens
Coming soon - Lesson 19
How LLMs are trained
Coming soon - Lesson 20
Prompting
Coming soon - Lesson 21
Retrieval-augmented generation
Coming soon - Lesson 22
Agents and tool use
Coming soon - Lesson 23
Evaluation and safety
Coming soon - Lesson 24
Running models in production
Coming soon
Go deeper
Special topics
Stand-alone deep dives.