Saturdays.AI master’s programme
This page includes programme information from our community archive. Contact the team to confirm current dates, availability and requirements.
This archive includes automatic translations. Audio, video and text inside images remain in their original language.
Your next step in artificial intelligence
Learning AI means connecting knowledge with practice: understanding data, experimenting with models and building projects that address real needs. Saturdays.AI helps you find resources and a community to learn with.
This page describes the master’s programme published on our previous website. Before enrolling, ask the team about its availability and current learning options.
Ask about upcoming editions | Explore learning resources
Archive of previous editions
- 100% online
- 12 months
- At your pace
Saturdays.AI master’s programme
You can buy directly the Master, join! #ai4all #ai4good
The community (in +10 countries) where you will learn Artificial Intelligence from scratch while creating a social impact project 🚀
The Master has 2 parts: Machine Learning + Deep Learning, in addition to a previous module if you start from 0, and subsequent optional specialization modules in AIoT, LLMs, GenAI, and others.
The Saturdays.AI Master is the community where any A.I. student. comes to learn. Whether you are just starting out or have been in parallel professions for years, here you will find colleagues, mentors and challenges to support you in your learning.
If you want to gain experience in programming, machine learning and data, this is the community to achieve it while creating a social impact project ✊
What will you do inside?
Create a project in 12 months
You will learn the bases of the machine and / or deep learning.
And you will end up creating a social impact project with the help of mentors with experience to obtain the final certificate.
Acquire practical skills.
At your disposal recorded classes, explanatory content, challenges and feedback between students to learn by doing.
Connect with people like you
Join and meet a diverse community of +200 AI enthusiasts. in different cities around the world.
Don't learn alone.
What do they say?
Some signs of love that have been made to us in public and that we cherish with affection.
100% online but with...
1st Help from 0
2nd Mentors with experience
The classes are coherent, didactic and easy to follow. 70 hours of content in each specialization: recorded videos, exercises and solutions.
3º Practical exercises
Each module includes exercises that, in addition to summarizing the key concepts of each topic, They will help you learn by doing.
4º Support and benefits
The program includes private forums in which you can ask your questions and schedule, getting in touch with mentors and colleagues.
Also benefits to make your project a reality, such as credits AWS.
5th Projects
Each student must complete and teach a social impact project, with the support of mentors, to complete the program.
6th Diploma
At the end of each itinerary you will receive a diploma demonstrating that you have successfully delivered all the challenges and the final project.
Do you want to see the master inside? 👇
🤖 Our Mission 🚀
We are a community with a mission to make AI accessible to everyone.
Learning for the future increasingly takes place in communities. We connect a global community 🌎 of A.I. students
What makes us different…
Javi Ramirez
Digital Creator, Founder Prompthero
"...Saturdays.AI removes the difficulty curve of Artificial Intelligence by not making it something for engineers or mathematicians, and allows many other people to create projects with the help of mentors and their community."
Irene Font
Director of Trusted AI at Liberty Mutual
Nora Lama
Strategic Partner Manager at Google
"What improved my knowledge the most was the methodology of learning by doing. It doesn't matter how much experience you have..."
More than 20,000 students have passed through Saturdays.AI and work in...
Learning to program and understand the world of data opens many doors for you, both to work in a company and to be a freelancer.
Join and Learn A.I.
Choose your plan. We make it easy for you 😎
you alone
- Too much content
- Without companions
- No practical challenges
- No networking
- No goals
Master Saturdays
- Massive content
- Personalized AI Tutor
- Practical training
- Constant support
- real project
Traditional training
- Too much content
- few companions
- Theoretical training
- No networking
A comprehensive Master 👨💻
I am a beginner in the world of A.I.
Machine Learning Itinerary
We have put together the best exercises and explanations so that you can learn all the strategies and concepts in a practical way if you want to learn to be a Data Scientist.
6 Modules + Project
160 Hours
1. Exploratory Data Analysis
- Introduction to ML (The ML Landscape)
- Cleaning and dividing datasets: Train, test, validation
- Data types: Tabular data, time series, structured and unstructured data.
- Preprocessing: Data visualization and EDA
- Basic ML Models: kNN & Decision Trees
2. Supervised Learning: Classification
- Decision trees
- Random Forest
- Modify the Hyperparameters of a model (hyperparameter tuning)
- Validation of classification models
3. Supervised Learning: Regression
- Overfitting vs. Underfitting
- Bias vs. Variance
- Regression
- Cross-validation
- Validation of regression models
4. Unsupervised Learning
- Understand the concept of “Clustering” (k-means)
- Dimensionality reduction (PCA, TSNE)
- Hierarchical clustering
- “Elbow method vs. explained variance”
5. Neural Networks, Gradient Descent
- Introduction to neural networks (NN)
- Gradient Descent
- What is “Backpropagation”?
- “Transfer Learning”
- Know the metrics to evaluate a model
6. NLP
- NLP Basics
- NLP Workflow
- “Regular expressions & word tokenization”
- N.E.R.
- “Feature Engineering”
I already have previous experience and I want to go further.
Deep Learning Itinerary
You will be able to master the principles of deep learning and apply it in challenges and practical exercises that will help you on your professional path.
6 Modules + Project
160 Hours
1. Classification & Main components
- Basic EDA (Exploratory Data Analysis)
- The neuron and its activation functions (the perceptron)
- Neural networks (NN)
- Gradient descent and other optimizers
- Regularization
2. Convolutional Neural Networks
- The “Convolution” operation
- Concepts of a CNN: Padding & step size, Batchnorm, Pooling…
- Data Augmentation
- Resnet (skip connections)
- Transfer learning
3. Object Detection & Image Segmentation
- Object Detection - Introduction
- Face landmark detection
- Image segmentation
- Join
4. Autoencoders
- Definition of Autoencoders and their relationship with the PCA
- Autoencoders in supervised learning
- “Variational autoencoders” & “Denoising Autoencoders”
5. Introduction to Reinforcement Learning
- State – Action Loop
- Action Space
- Reward & return
- Policy and Value functions
- Bellman equations
- Deep QL
6. Deep Learning 4 NLP
- NLP Workflow (tokenization, stemming, POS,…)
- LSTM
- Embeddings (Word2Vec, GloVe, ELMO)
- Attention
- Self-attention
- Transformers
...and ends with a social impact project 🛰️
Students who have been certified in machine and / or deep learning enter a call to create projects. Look at an example of the presentations.
Brainstorming
You can bring your idea or participate in the design and validation of other A.I. projects. with social impact.
Supported work
You will have support and support to advance and carry out your project.
DemoDay
The projects will be pitched to the public!
Some of the published projects 📡
Get your Diploma
Once you complete the program, you will receive a verifiable Certificate of Completion that you can link to from your resume and LinkedIn profile.
You may be wondering...
About Saturdays.AI
Is it an approved master's degree?
It isn't, and we don't want it to be.
Approved master's degrees have to adhere to study plans that make you lose flexibility in learning. That's why we didn't want our master to be one, because we update the content and focus on the community, and those are one of our main values.
What do the projects consist of?
The final projects will serve to demonstrate what was learned in the course, proposing a solution to a social impact problem (of your choice) with the use of Artificial Intelligence.
Projects are shared as open source, together with an explanatory article, in their state on presentation day. You can continue developing them after the course.
Where can I see projects from other editions?
You can explore our github repository and our page on Medium.
What makes Saturdays.AI different from other programs?
The answer to this question lies with the students who have already gone through the program.
It is not a curriculum written in stone with all the contents of Machine Learning. We think that the most realistic way to have a real impact is to test our community through challenges, interact with other members of the community, and end up creating and presenting a project.
What students appreciate most is the fun of the course, the experience and the general map they get once they have finished. Something difficult to achieve by taking boring online courses.
Where does the name Saturdays.AI come from?
In 2018, a group of friends from different fields wanted to learn AI together and put it into practice. Saturday was the day we could meet. We started with an event in Barcelona, followed by communities in Ecuador, Monterrey, Madrid and elsewhere. That experience shaped our approach to learning as a community.
About our methodology
Will I have support during the process?
In the community forums you can ask any questions whenever you need it so that any other student or one of the mentors can help you.
Will I have access to everything immediately?
When purchasing, access to the first module of the itinerary you choose will be enabled. Subsequently, you will unlock the following modules when you pass the final test for each of them.
Are community events recorded?
Yes. If you cannot participate in any session or workshop we carry out, you can watch the recordings whenever you want on video.
Are there different levels?
Yes. There are two levels: machine learning and deep learning. The deep learning track requires prior knowledge of machine learning, and both tracks require intermediate Python skills.
Here you have more information to know both itineraries. If you have no practical experience with machine learning, we recommend the starting level.
How do I know what my level is?
You can take these tests from Datacamp to see your level of Python and data science. We recommend you start with Machine Learning if you have not yet practiced and experimented with it.
Access to the alumni community and events is for life.
You can directly purchase access to the Master in the link above, and it is designed for you to finish in 12 months.
What if it's not what I'm looking for?
You have 15 days to review the benefits and the community, and if it is not what you are looking for we will refund your money. There is no risk.
Do you have any other questions? Write to us 💬