Introduction to AI Safety
Understand advanced AI risks, evaluations, alignment and oversight. Take your first step towards building safer AI.
Explore courseStart with the basics or follow your next big question. Practical courses for people who learn by doing.
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.
From harmful mistakes and misuse to loss of control.
Evaluate capabilities, limitations and behaviour before trusting a system.
Combine oversight, access controls and practical mitigations.
Course taught in Spanish on cursos.saturdays.ai.
Understand advanced AI risks, evaluations, alignment and oversight. Take your first step towards building safer AI.
Explore courseBuild your foundations. Go from your first line of Python to thinking in code.
Explore courseExplore language models, image generation and the creative possibilities of AI.
View programmeWork with context, RAG, agents and practical projects to take your prompts further.
Explore courseDiscover patterns in data and learn to deploy a model through a hands-on project.
Explore courseLearn to clean, explore and transform data with one of Python’s essential tools.
Explore courseExplore agents that learn by doing, from Q-learning to deep reinforcement learning.
Explore courseBrowse the complete course catalogue on cursos.saturdays.ai
Try another topic or explore all levels.
Find other curious minds and share what you’re learning.
Contact the communityFrom the Saturdays.AI community archive. Details of past editions are retained for reference; the local team can confirm the current programme.
This archive includes automatic translations. Audio, video and text inside images remain in their original language.
Build skills for the future of work.
Learn AI from scratch with courses in Python, data science, prompt engineering and machine learning.


Well-structured courses
Lectures are consistent, informative, and easy to follow.
Hands-on exercises
Each module includes exercises that, in addition to summarizing the key concepts of each module, will guide you through the activities proposed in the lessons of that module.
Contact the team to find the current community channels and connect with other learners.
Unlimited access
You will gain unrivaled knowledge in programming, stadistics, and machine learning– wherever you are.
Additional materials
Mental maps in text to learn more effectively and additional info to keep learning
Certificate
Get a certificate confirming completion of an online lecture or a whole course.
You can choose different study plans through the courses depending on your knowledge and interests in AI.
In Spanish. Prompt engineering for learners who know the basics and want to explore techniques for managing contexto, caching, planificación, RAG and agentes.


English & Spanish Learn to code in AI from scratch. We have prepared a customized roadmap to power-up your Python skills in a short time, in a fun and no-stress way.
The program is organized in several modules where we will challenge you with practical exercises. You will have the opportunity to share with the community your progress, ask doubts and code with other people, building the foundations to further learning.
English & Spanish Mini-course to learn the foundations of Generative AI and Multimodal in a fun, from scratch way, good for total newbies and AI artists alike.
We cover from a bird-eye POV hot topics like LLMs, Diffusion and of course, what tools and «tricks» we can use to generate what we want.
This particular field (generative AI) is changing superfast, so we are going to keep updating the content often.


In English and Spanish. Learn data mining through a practical project and deploy a model on Hugging Face. Develop two useful skills for your data science and AI projects.
In Spanish. Did you know that reinforcement learning (R.L.) is essential in the development of autonomous systems and in making intelligent decisions?
Discover how to model and solve complex artificial intelligence problems. In this course, you will learn how to implement algorithms like Q-learning and Deep RL; You will understand how to apply them in real scenarios such as intelligent games, robotics and recommendation systems.
*Spoiler: Maybe the AGI will be achieved thanks to the RL

in English Learn the foundations of Data Science with this course that includes short explanatory videos of around 5 minutes each along with mental maps in text to learn more effectively, hands-on exercises and a project to learn by doing. You will get peer feedback and a community to learn in good company.
Build a solid foundation in data science.


In English and Spanish. Pandas is a flexible library for working with data. Learn to load, prepare, transform, model and analyse it.
In English and Spanish. A NumPy course: learn to work with numerical data.
Have you ever wondered how data scientists and engineers perform complex calculations and manipulate large data sets in Python? This is where NumPy comes in! In this course, we are going to dive into the fascinating world of NumPy and learn how to handle numerical data efficiently.


*S_panish_* SciPy is the Python library for performing science par excellence, it contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, resolution of ODEs and other tasks for science and engineering.
