A LITTLE CURIOSITY GOES A LONG WAY

Big possibilities.
One first step.

Start with the basics or follow your next big question. Practical courses for people who learn by doing.

AI SAFETY / SECURITY

Build the future.
Protect what matters.

The next breakthrough should move us forward. Learn to question what an AI system can do, recognise where it can fail and build safeguards for the people it affects.

01
Understand the risks
From harmful mistakes and misuse to loss of control.
02
Test the evidence
Evaluate capabilities, limitations and behaviour before trusting a system.
03
Design safeguards
Combine oversight, access controls and practical mitigations.

A PLACE TO START

Introduction to AI Safety

Course taught in Spanish on cursos.saturdays.ai.

Explore the introductory course Explore AI Safety / Security

7 learning paths to explore.

Introduction to AI Safety

Understand advanced AI risks, evaluations, alignment and oversight. Take your first step towards building safer AI.

Starting outSpanish

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Python for AI

Build your foundations. Go from your first line of Python to thinking in code.

Starting outEnglish

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Generative AI

Explore language models, image generation and the creative possibilities of AI.

Starting outEnglish & Spanish

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Prompt engineering

Work with context, RAG, agents and practical projects to take your prompts further.

Going deeperSpanish

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Data mining & Hugging Face

Discover patterns in data and learn to deploy a model through a hands-on project.

Going deeperEnglish & Spanish

Explore course

Pandas for data science

Learn to clean, explore and transform data with one of Python’s essential tools.

Starting outEnglish & Spanish

Explore course

Reinforcement learning

Explore agents that learn by doing, from Q-learning to deep reinforcement learning.

Going deeperSpanish

Explore course

Browse the complete course catalogue on cursos.saturdays.ai

BETTER TOGETHER

Questions welcome.
People even more.

Find other curious minds and share what you’re learning.

Contact the community

More learning paths and programme information

From the Saturdays.AI community archive. Details of past editions are retained for reference; the local team can confirm the current programme.

Learn AI at your own pace

Start with Python and data science, explore generative AI or go deeper into machine learning techniques. Choose a resource that fits your experience and put it into practice.

Foundations for further learning

The learning paths combine explanations, exercises and projects. Some include concept maps and other supporting materials. Check each course’s prerequisites, access conditions and certificate criteria, where a certificate is offered.

If you want to share what you learn, contact the community.

More resources from the archive

This selection brings together learning paths from our past offerings. The course platform provides current information on content and availability.

Advanced prompt engineering

Explore context, caching, planning, RAG and agents. This course is intended for learners who already know the foundations. Taught in Spanish.

View the resource

Python for AI

Start coding with exercises organised into modules. Build the foundations for further learning in data science and AI. The link opens the English course.

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Generative and multimodal AI

Explore language models, image generation, diffusion models and prompt engineering. Experiment with creative tools and evaluate the results. Spanish and English paths are available.

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Data mining and Hugging Face

Learn data mining through a practical project and deploy a model on Hugging Face. Check the platform for language options.

View the resource

Reinforcement learning

Study how agents learn by interacting with an environment. Practise Q-learning and deep reinforcement learning, and explore applications in games, robotics and recommendation systems. Taught in Spanish.

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Data science foundations

The archive records an English learning path with short videos, concept maps, exercises and a practical project. Check the current catalogue for available resources.

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Pandas for data science

Learn to load, prepare, transform and analyse data with Pandas. Check the platform for course content and language options.

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NumPy for data science

Work with arrays and numerical data in Python. Explore how to organise data and perform calculations efficiently. Check the platform for language options.

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SciPy for data science

Explore scientific computing tools for optimisation, linear algebra, integration, interpolation, Fourier transforms and signal processing. The path also covers differential equations and other scientific and engineering applications. Taught in Spanish.

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