¿POR QUÉ ALGUIEN AI?
Boost your career in AI
Develop your AI skills with intensive, hands-on training led by industry experts and land a job in AI.
+200
Global companies have hired talentfrom our community.
+200
es el tiempo promedio que tardan nuestros profesionales en conseguir una nueva oportunidad laboral en AI.
+200
es el tiempo promedio que tardan nuestros profesionales en conseguir una nueva oportunidad laboral en AI.
Hundreds of developers have advanced their AI careers with us
NUESTROS INSTRUCTORES
Shape the next gen of AI talent in LATAM
Join our community of expert instructors and teach the next generation of AI & ML professionals.
+200
Global companies have hired talentfrom our community.
+200
es el tiempo promedio que tardan nuestros profesionales en conseguir una nueva oportunidad laboral en AI.
+200
es el tiempo promedio que tardan nuestros profesionales en conseguir una nueva oportunidad laboral en AI.
Learn with AI experts
Enzo Ferrante
ACADEMIC LEADER
PhD in Computer Science at Université Paris-Saclay and INRIA (France). He was a Visiting PhD Student at Stanford University (USA), completed his postdoctoral studies at Imperial College London (UK). He was a Fellow at Harvard Medical School (USA) and a Visiting Professor at Université Paris-Saclay (France).
View profile
João Matos
LEAD AI/ML INSTRUCTOR
PhD student in AI for Healthcare at the University of Oxford; BSc and MSc in Biomedical Engineering from the University of Porto. Over three years of experience in academia, including time at MIT as a Fulbright Visiting Student, Harvard School of Public Health as a Teaching Fellow, and Duke University as a Research Assistant.
He has industry experience in Japan as a Deep Learning Engineer, and his research focuses on integrating engineering ethics into health machine learning models to ensure fairness, transparency, and trustworthiness across different modalities and populations.
Ver perfil
LEAD AI/ML PRINCIPAL INSTRUCTOR
PhD Student at the University of Paris-Saclay with over three years of experience in teaching and developing machine learning applications at institutions worldwide, including MIT and Harvard Medical School.
Currently focused on developing and evaluating healthcare models to reduce inequities by detecting and mitigating biases, as well as improving deep learning efficiency. He has also mentored student teams from institutions such as Harvard and MIT on projects related to bias detection and the development of efficient deep learning models.View profile
Iván Reyes
LEAD AI/ML INSTRUCTOR
PhD in Computer Science from CINVESTAV with over five years of experience as a Licensed Engineer in Machine Learning (ML), Professor, and Researcher at Tecnológico de Monterrey.
Currently leading AI/ML initiatives at Layer 7, focusing on building and optimizing NLP models, language comprehension, and natural language understanding (NLU). He has also implemented end-to-end pipelines for speech-to-text and text-to-speech conversion.
View profile
Rodrigo Bonazzola
LEAD AI/ML INSTRUCTOR
PhD in Computing from the University of Leeds, specializing in medical and genomic image analysis. With over six years of experience in academic teaching, he previously worked in bioinformatics at the University of Chicago.
During his PhD, he researched how DNA variants affect heart morphology and function using AI for image processing, built with TensorFlow and PyTorch.
View profile
Diego Garcia Cerdas
AI/ML INSTRUCTOR
MSc in Artificial Intelligence from the University of Amsterdam (ELLIS Honored Student). Currently researching applications of generative AI for neuroscience. Previously supported undergraduate courses on AI theory and robotics as a Teaching Assistant at Radboud University, as well as a graduate summer programme on Neuro-AI at the University of Amsterdam.
He has worked as an ML Engineer at a Dutch startup focusing on generative visual models for the fashion industry. ML Engineer.
View profile
Claudio Gauna
AI/ML INSTRUCTOR
MSc in Computer Science from the University of Buenos Aires (Argentina).
Over 10 years of experience in machine learning, data engineering, and software development for companies such as EY, Moody's, Rappi, and Despegar.Developed AI projects including advanced chatbots, product attribute extraction, classification, courier optimization, and sentiment analysis in hotel reviews.
View profile
Mariano Allevato
AI/ML INSTRUCTOR
BA. Cloud Data Engineer at ITBA. Data Science at EANT and Business Administration at UADE.
More than 5 years of experience in the data industry with multiple roles involving technical and business skills.Currently Founder & Cloud Data Engineer of Squadra Labs. Delivering solutions through the development of data applications, cloud architecture, and machine learning services.
View profile
NUESTROS INSTRUCTORES
Inspire the next generation of AI talent
Join our community of expert instructors and teach the next generation of AI & ML professionals.
+200
Global companies have hired talentfrom our community.
+200
Global companies have hired talentfrom our community.
+200
Global companies have hired talentfrom our community.
Learn with AI experts
Enzo Ferrante
ACADEMIC LEADER
PhD in Computer Science at Université Paris-Saclay and INRIA (France). He was a Visiting PhD Student at Stanford University (USA), completed his postdoctoral studies at Imperial College London (UK). He was a Fellow at Harvard Medical School (USA) and a Visiting Professor at Université Paris-Saclay (France).
View profile
João Matos
LEAD AI/ML INSTRUCTOR
PhD student in AI for Healthcare at the University of Oxford; BSc and MSc in Biomedical Engineering from the University of Porto. Over three years of experience in academia, including time at MIT as a Fulbright Visiting Student, Harvard School of Public Health as a Teaching Fellow, and Duke University as a Research Assistant.
He has industry experience in Japan as a Deep Learning Engineer, and his research focuses on integrating engineering ethics into health machine learning models to ensure fairness, transparency, and trustworthiness across different modalities and populations.
Ver perfil
LEAD AI/ML PRINCIPAL INSTRUCTOR
PhD Student at the University of Paris-Saclay with over three years of experience in teaching and developing machine learning applications at institutions worldwide, including MIT and Harvard Medical School.
Currently focused on developing and evaluating healthcare models to reduce inequities by detecting and mitigating biases, as well as improving deep learning efficiency. He has also mentored student teams from institutions such as Harvard and MIT on projects related to bias detection and the development of efficient deep learning models.View profile
Iván Reyes
LEAD AI/ML INSTRUCTOR
PhD in Computer Science from CINVESTAV with over five years of experience as a Licensed Engineer in Machine Learning (ML), Professor, and Researcher at Tecnológico de Monterrey.
Currently leading AI/ML initiatives at Layer 7, focusing on building and optimizing NLP models, language comprehension, and natural language understanding (NLU). He has also implemented end-to-end pipelines for speech-to-text and text-to-speech conversion.
View profile
Rodrigo Bonazzola
LEAD AI/ML INSTRUCTOR
PhD in Computing from the University of Leeds, specializing in medical and genomic image analysis. With over six years of experience in academic teaching, he previously worked in bioinformatics at the University of Chicago.
During his PhD, he researched how DNA variants affect heart morphology and function using AI for image processing, built with TensorFlow and PyTorch.
View profile
Diego Garcia Cerdas
AI/ML INSTRUCTOR
MSc in Artificial Intelligence from the University of Amsterdam (ELLIS Honored Student). Currently researching applications of generative AI for neuroscience. Previously supported undergraduate courses on AI theory and robotics as a Teaching Assistant at Radboud University, as well as a graduate summer programme on Neuro-AI at the University of Amsterdam.
He has worked as an ML Engineer at a Dutch startup focusing on generative visual models for the fashion industry. ML Engineer.
View profile
Claudio Gauna
AI/ML INSTRUCTOR
MSc in Computer Science from the University of Buenos Aires (Argentina).
Over 10 years of experience in machine learning, data engineering, and software development for companies such as EY, Moody's, Rappi, and Despegar.Developed AI projects including advanced chatbots, product attribute extraction, classification, courier optimization, and sentiment analysis in hotel reviews.
View profile
Mariano Allevato
AI/ML INSTRUCTOR
BA. Cloud Data Engineer at ITBA. Data Science at EANT and Business Administration at UADE.
More than 5 years of experience in the data industry with multiple roles involving technical and business skills.Currently Founder & Cloud Data Engineer of Squadra Labs. Delivering solutions through the development of data applications, cloud architecture, and machine learning services.
View profile
Empresas que han contratado talento de nuestra comunidad:
Empresas que han contratado talento de nuestra comunidad:
¿POR QUÉ ALGUIEN AI?
Boost your career in AI
Develop your AI skills with intensive, hands-on training led by industry experts and land a job in AI.
+200
Global companies have hired talentfrom our community.
+200
Global companies have hired talentfrom our community.
+200
Global companies have hired talentfrom our community.
Hundreds of developers have
advanced their AI careers with us
OUR CAREER
Program Content
The program consists of 4 project-based sprints and one final project.
Maser the Coding interview.
Maser the Coding interview.
In parallel, you will have English sessions
and Job preparation.
Prep course >
Optional
Prep course >
Optional
Sprint 1 >
3 Weeks
Sprint 1 >
3 Weeks
Sprint 3 >
3 Weeks
Sprint 3 >
3 Weeks
Sprint 4 >
3 Weeks
Sprint 4 >
3 Weeks
Sprint 2 >
3 Weeks
Sprint 2 >
3 Weeks
Final Project >
5 Weeks
Final Project >
5 Weeks
Graduation >
1 Week
Graduation >
1 Week
Sprint 5 >
3 Weeks
English sessions >
English sessions >
Job preparation program >
Job preparation program >
Empresas que han contratado talento de nuestra comunidad:
OUR CAREER
Program Content
The program consists of 4 project-based sprints and one final project.
Maser the Coding interview.
Prep course >
Python and Math Refresher for ML.
optional
Sprint 1 > Analyzing Data and Building Data Pipelines.
3 Weeks
Sprint 2 > ML Foundations, Model Training and Evaluation.
3 Weeks
Sprint 3 > ML Model Deployment.
3 Weeks
Sprint 4 > Deep Learning and GenAI.
3 Weeks
Final Project >
5 Weeks
Graduation >
1 Week
In parallel, you will have English sessions and Job preparation.
Job preparation > Live, group and individual, sessions. Resume and LinkedIn optimization. Interview process preparation. Access to hundreds of AI job opportunities. Connection to a professional support network.
English sessions > Conversational practice. Refine your grammar for clearer communication. Improve your pronunciation for greater clarity. Develop and sharpen your interview skills. Give and defend spoken presentations.
CONTINUOUS GROWTH
Our specializations
Deepen your AI knowledge with our specializations, designed so you can continue learning after completing the degree, while you work.
Preparación laboral
Learn the fundamentals of language models like GPT and LLAMA, exploring their structures, attention concepts, and tools like Hugging Face and LangChain. Master techniques such as prompt engineering, X-shot learning.
Preparación laboral
Learn how to improve the accuracy of language models (LLM) with Reinforcement Learning from Human Feedback (RLHF), the technique used by Google, Meta, OpenAI, and others to optimize their models.
Preparación laboral
Develop the skills required to excel in technical interviews, covering essential topics like data structures, algorithms, problem-solving strategies, and coding best practices. Solve real-world coding challenges.
JOIN OUR
High-calibre
community
with +500 graduates in 10 countries.
¿POR QUÉ ALGUIEN AI?
Boost your career in AI
Develop your AI skills with intensive, hands-on training led
by industry experts and land a job in AI.
Develop your skills with intensive and practical training, led by experts, and get into the AI job market.
+200
Global companies have hired talentfrom our community.
+200
Global companies have hired talentfrom our community.
+200
Global companies have hired talentfrom our community.
+200
es el tiempo promedio que tardan nuestros profesionales en conseguir una nueva oportunidad laboral en AI.
+200
es el tiempo promedio que tardan nuestros profesionales en conseguir una nueva oportunidad laboral en AI.
Hundreds of developers have advanced their
AI careers with us
Empresas que han contratado talento de nuestra comunidad:
Empresas que han contratado talento de nuestra comunidad:
NUESTROS INSTRUCTORES
Shape the next gen of AI talent
in LATAM
Join our community of expert instructors and teach the next generation of AI & ML professionals.
+200
Global companies have hired talentfrom our community.
+200
Global companies have hired talentfrom our community.
+200
Global companies have hired talentfrom our community.
6 meses
es el tiempo promedio que tardan nuestros profesionales en conseguir una nueva oportunidad laboral en AI.
6 meses
es el tiempo promedio que tardan nuestros profesionales en conseguir una nueva oportunidad laboral en AI.
Learn with AI experts
Enzo Ferrante
ACADEMIC LEADER
PhD in Computer Science at Université Paris-Saclay and INRIA (France). He was a Visiting PhD Student at Stanford University (USA), completed his postdoctoral studies at Imperial College London (UK). He was a Fellow at Harvard Medical School (USA) and a Visiting Professor at Université Paris-Saclay (France).
View profile
João Matos
LEAD AI/ML INSTRUCTOR
PhD student in AI for Healthcare at the University of Oxford; BSc and MSc in Biomedical Engineering from the University of Porto. Over three years of experience in academia, including time at MIT as a Fulbright Visiting Student, Harvard School of Public Health as a Teaching Fellow, and Duke University as a Research Assistant.
He has industry experience in Japan as a Deep Learning Engineer, and his research focuses on integrating engineering ethics into health machine learning models to ensure fairness, transparency, and trustworthiness across different modalities and populations.
Ver perfil
LEAD AI/ML PRINCIPAL INSTRUCTOR
PhD Student at the University of Paris-Saclay with over three years of experience in teaching and developing machine learning applications at institutions worldwide, including MIT and Harvard Medical School.
Currently focused on developing and evaluating healthcare models to reduce inequities by detecting and mitigating biases, as well as improving deep learning efficiency. He has also mentored student teams from institutions such as Harvard and MIT on projects related to bias detection and the development of efficient deep learning models.View profile
Iván Reyes
LEAD AI/ML INSTRUCTOR
PhD in Computer Science from CINVESTAV with over five years of experience as a Licensed Engineer in Machine Learning (ML), Professor, and Researcher at Tecnológico de Monterrey.
Currently leading AI/ML initiatives at Layer 7, focusing on building and optimizing NLP models, language comprehension, and natural language understanding (NLU). He has also implemented end-to-end pipelines for speech-to-text and text-to-speech conversion.
View profile
Rodrigo Bonazzola
LEAD AI/ML INSTRUCTOR
PhD in Computing from the University of Leeds, specializing in medical and genomic image analysis. With over six years of experience in academic teaching, he previously worked in bioinformatics at the University of Chicago.
During his PhD, he researched how DNA variants affect heart morphology and function using AI for image processing, built with TensorFlow and PyTorch.
View profile
Diego Garcia Cerdas
AI/ML INSTRUCTOR
MSc in Artificial Intelligence from the University of Amsterdam (ELLIS Honored Student). Currently researching applications of generative AI for neuroscience. Previously supported undergraduate courses on AI theory and robotics as a Teaching Assistant at Radboud University, as well as a graduate summer programme on Neuro-AI at the University of Amsterdam.
He has worked as an ML Engineer at a Dutch startup focusing on generative visual models for the fashion industry. ML Engineer.
View profile
Claudio Gauna
AI/ML INSTRUCTOR
MSc in Computer Science from the University of Buenos Aires (Argentina).
Over 10 years of experience in machine learning, data engineering, and software development for companies such as EY, Moody's, Rappi, and Despegar.Developed AI projects including advanced chatbots, product attribute extraction, classification, courier optimization, and sentiment analysis in hotel reviews.
View profile
Mariano Allevato
AI/ML INSTRUCTOR
BA. Cloud Data Engineer at ITBA. Data Science at EANT and Business Administration at UADE.
More than 5 years of experience in the data industry with multiple roles involving technical and business skills.Currently Founder & Cloud Data Engineer of Squadra Labs. Delivering solutions through the development of data applications, cloud architecture, and machine learning services.
View profile
Your AI journey begins now!
OUR CAREER
Program Content
Program Content
The program consists of 4 project-based sprints and one final project.
The program consists of 4 project-based sprints and one final project.
Maser the Coding interview.
Maser the Coding interview.
In parallel, you will have English classes and Job Preparation.
It will help you a lot!
Prep course >
Python and Math Refresher for ML.
optional
Prep course >
Python and Math Refresher for ML.
optional
Sprint 1 > Analyzing Data and Building Data Pipelines.
3 Weeks
Sprint 2 > ML Foundations, Model Training and Evaluation.
3 Weeks
Sprint 2 > ML Foundations, Model Training and Evaluation.
3 Weeks
Sprint 3 > ML Model Deployment.
3 Weeks
Sprint 3 > ML Model Deployment.
3 Weeks
Sprint 4 > Deep Learning and GenAI.
3 Weeks
Sprint 4 > Deep Learning and GenAI.
3 Weeks
Final Project >
5 Weeks
Final Project >
5 Weeks
Graduation >
1 Week
Graduation >
1 Week
Graduation >
1 Week
In parallel, you will have English sessions and Job preparation.
Job preparation > Live, group and individual, sessions. Resume and LinkedIn optimization. Interview process preparation. Access to hundreds of AI job opportunities. Connection to a professional support network.
Job preparation > Live, group and individual, sessions. Resume and LinkedIn optimization. Interview process preparation. Access to hundreds of AI job opportunities. Connection to a professional support network.
English sessions > Conversational practice. Refine your grammar for clearer communication. Improve your pronunciation for greater clarity. Develop and sharpen your interview skills. Give and defend spoken presentations.
English sessions > Conversational practice. Refine your grammar for clearer communication. Improve your pronunciation for greater clarity. Develop and sharpen your interview skills. Give and defend spoken presentations.
CONTINUOUS GROWTH
Our specializations
Deepen your AI knowledge with our specializations, designed so you can continue learning after completing the degree, while you work.
Developing LLM-Based Apps
Learn the fundamentals of language models like GPT and LLAMA, exploring their structures, attention concepts, and tools like Hugging Face and LangChain. Master techniques such as prompt engineering, X-shot learning.
Developing LLM-Based Apps
Learn how to improve the accuracy of language models (LLM) with Reinforcement Learning from Human Feedback (RLHF), the technique used by Google, Meta, OpenAI, and others to optimize their models.
Developing LLM-Based Apps
Develop the skills required to excel in technical interviews, covering essential topics like data structures, algorithms, problem-solving strategies, and coding best practices.
Solve real-world coding challenges.
Your AI journey begins now!
Your AI journey begins now!
JOIN OUR
high-calibre community
with +500 graduates in 10 countries.
JOIN OUR
high-calibre community
with +500 graduates in 10 countries.
CONTINUOUS GROWTH
Our specializations
Deepen your AI knowledge with our specializations, designed so you can continue learning after completing the degree, while you work.
Developing LLM-Based Apps
Learn the fundamentals of language models like GPT and LLAMA, exploring their structures, attention concepts, and tools like Hugging Face and LangChain. Master techniques such as prompt engineering, X-shot learning.
Developing LLM-Based Apps
Learn how to improve the accuracy of language models (LLM) with Reinforcement Learning from Human Feedback (RLHF), the technique used by Google, Meta, OpenAI, and others to optimize their models.
Developing LLM-Based Apps
Develop the skills required to excel in technical interviews, covering essential topics like data structures, algorithms, problem-solving strategies, and coding best practices. Solve real-world coding challenges.
JOIN OUR
high-calibre community
with +500 graduates in 10 countries.
JOIN OUR
high-calibre community
with +500 graduates in 10 countries.
Your AI journey begins now!
Your AI journey begins now!