Anyone AIfor companies
Whether you’re a US or LATAM-based company aiming to adopt AI, or expand your AI team, we’re here to help you achieve your goals.
At Anyone AI, we partner with companies to upskill their teams and close the talent gap, enabling seamless AI adoption and future-proofing your business.
Unlock Your Workforce’s AI Potential. Become AI ready.
Train your workforce in AI. Become AI-ready.
Whether you’re a US or LATAM-based company aiming to adopt AI, or expand your AI team, we’re here to help you achieve your goals.
At Anyone AI, we partner with companies to upskill & reskill their teams, enabling seamless AI adoption and future-proofing your business.
Anyone AIfor companies
Whether you’re a US or LATAM-based company aiming to adopt AI, or expand your AI team, we’re here to help you achieve your goals.
At Anyone AI, we partner with companies to upskill their teams and close the talent gap, enabling seamless AI adoption and future-proofing your business.
Unlock Your Workforce’s AI Potential. Become AI ready.
Don’t miss the AI Revolution
When it comes to AI adoption in the enterprise, the #1 barrier is the lack of talent.
“The most significant barrier to AI adoption is the lack of skilled people and the difficulty of hiring. 19% of 3,500 business leaders respondents cited the talent gap as the most significant barrier.”
O’Reilly
AI Adoption in the Enterprise
“The two strongest hubs for AI today are Silicon Valley and Beijing. We need to invest globally in order for AI to achieve its full potential”
Andrew Ng
Former Director of Stanford AI Lab or SAIL and co-founder and head of Google Brain
Build or expand your
AI/ML team with us
Get production-ready AI developers with real-world experience tailored toward your specific AI needs.
The core of Anyone AI is an accelerated AI training program performed by industry experts, that delivers production ready AI developers with real world experience tailored towards the specific needs of our clients.
Build or expand your AI/ML team with us
Get production-ready AI developers with real-world experience tailored toward your specific AI needs.
The core of Anyone AI is an accelerated AI training program performed by industry experts, that delivers production ready AI developers with real world experience tailored towards the specific needs of our clients.
Get production-ready AI developers with real-world experience tailored toward your specific AI needs.
The core of Anyone AI is an accelerated AI training program performed by industry experts, that delivers production ready AI developers with real world experience tailored towards the specific needs of our clients.
Build or expand your
AI/ML team with us
Get production-ready AI developers with real-world experience tailored toward your specific AI needs.
The core of Anyone AI is an accelerated AI training program performed by industry experts, that delivers production ready AI developers with real world experience tailored towards the specific needs of our clients.
Build or expand your AI/ML team with us
Get production-ready AI developers with real-world experience tailored toward your specific AI needs.
The core of Anyone AI is an accelerated AI training program performed by industry experts, that delivers production ready AI developers with real world experience tailored towards the specific needs of our clients.
Get production-ready AI developers with real-world experience tailored toward your specific AI needs.
The core of Anyone AI is an accelerated AI training program performed by industry experts, that delivers production ready AI developers with real world experience tailored towards the specific needs of our clients.
Don’t miss the AI Revolution
When it comes to AI adoption in the enterprise, the #1 barrier is the lack of talent.
“The most significant barrier to AI adoption is the lack of skilled people and the difficulty of hiring. 19% of 3,500 business leaders respondents cited the talent gap as the most significant barrier.”
O’Reilly
AI Adoption in the Enterprise
“The two strongest hubs for AI today are Silicon Valley and Beijing. We need to invest globally in order for AI to achieve its full potential”
Andrew Ng
Former Director of Stanford AI Lab or SAIL and co-founder and head of Google Brain
BECOME AN EXPERT
About the program
The Machine Learning Developer Fellowship is an intensive part-time program designed to help you boost your career in AI.
You’ll learn data engineering, machine learning, deep learning, and LLM fundamentals, and gain hands-on experience by developing AI projects with your peers. AI industry experts will guide you through daily live classes and mentoring sessions.
DURATION
4.5 months
LIVE SESSIONS
with experts in AI
REQUIRES
20 hours per week
LOCATION
100% remote
OUR CAREER
Program Content
The program consists of 4 project-based sprints and one final project.
Maser the Coding interview.
Prep course
optional
Python Refresher. Intro to Numpy. Math review for Machine Learning.
Sprint 1
Analyzing Data and Building Data Pipelines.
Sprint 2
ML foundations, model training and evaluation.
Sprint 3
ML Model Deployment.
Sprint 4
Deep Learning and GenAI.
Final Project
Prospective Company or Anyone AI. Final ML Project.
HOW DOES IT WORK?
We invest in your career. $0 initial cost
The following structure shows a typical week at the Anyone AI ML Developer Part-Time Career.
HOW DOES IT WORK?
We invest in your career. $0 initial cost
The following structure shows a typical week at the Anyone AI ML Developer Part-Time Career.
NUESTROS INSTRUCTORES
Aprende junto a expertos en IA
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.
View profile
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
Build or expand your AI/ML team with us
Get production-ready AI developers with real-world experience tailored toward your specific AI needs.
The core of Anyone AI is an accelerated AI training program performed by industry experts, that delivers production ready AI developers with real world experience tailored towards the specific needs of our clients.
Build or expand your AI/ML team with us
Get production-ready AI developers with real-world experience tailored toward your specific AI needs.
The core of Anyone AI is an accelerated AI training program performed by industry experts, that delivers production ready AI developers with real world experience tailored towards the specific needs of our clients.
BECOME AN EXPERT
About the program
The Machine Learning Developer Fellowship is an intensive part-time program designed to help you boost your career in AI.
You’ll learn data engineering, machine learning, deep learning, and LLM fundamentals, and gain hands-on experience by developing AI projects with your peers. AI industry experts will guide you through daily live classes and mentoring sessions.
DURATION
4.5 months
LIVE SESSIONS
with experts in AI
REQUIRES
20 hours per week
LOCATION
100% remote
OUR CAREER
Program Content
The program consists of 4 project-based sprints and one final project.
Maser the Coding interview.
Maser the Coding interview.
Prep course
optional
Python Refresher. Intro to Numpy. Math review for Machine Learning.
Sprint 1
Analyzing Data and Building Data Pipelines.
Sprint 2
ML foundations, model training and evaluation.
Sprint 3
ML Model Deployment.
Sprint 4
Deep Learning and GenAI.
Final Project
Prospective Company or Anyone AI. Final ML Project.
HOW DOES IT WORK?
We invest in your career. $0 initial cost
The following structure shows a typical week at the Anyone AI ML Developer Part-Time Career.
HOW DOES IT WORK?
We invest in your career. $0 initial cost
The following structure shows a typical week at the Anyone AI ML Developer Part-Time Career.
NUESTROS INSTRUCTORES
Aprende junto a expertos en IA
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.
View profile
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
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…
Don’t miss the AI Revolution
When it comes to AI adoption in the enterprise, the #1 barrier is the lack of talent.
“The most significant barrier to AI adoption is the lack of skilled people and the difficulty of hiring. 19% of 3,500 business leaders respondents cited the talent gap as the most significant barrier.”
O’Reilly
AI Adoption in the Enterprise
“The two strongest hubs for AI today are Silicon Valley and Beijing. We need to invest globally in order for AI to achieve its full potential”
Andrew Ng
Former Director of Stanford AI Lab or SAIL
and co-founder and head of Google Brain
FROM SOFTWARE TO AI
Our Program
The Machine Learning Developer Fellowship is an intensive part-time program for software developers to kick-start their careers in AI.
You’ll learn data engineering, machine learning, deep learning, and LLM fundamentals, and gain hands-on experience by developing AI projects with your peers. AI industry experts will guide you through daily live classes and mentoring sessions.
DURATION
4.5 months
LIVE SESSIONS
with experts in AI
REQUIRES
20 hours per week
LOCATION
100% remote
OUR CAREER
Program Content
The program consists of 4 project-based sprints and one final project.
Maser the Coding interview.
Prep course.
optional
Python Refresher. Intro to Numpy. Math review for Machine Learning.
Sprint 1
Analyzing Data and Building Data Pipelines.
Sprint 2
ML foundations, model training and evaluation.
Sprint 3
ML Model Deployment.
Sprint 4
Deep Learning and GenAI.
Final Project
Prospective Company or Anyone AI. Final Machine Learning Project.
NUESTROS INSTRUCTORES
Aprende junto a expertos en IA
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.
View profile
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
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.
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…
About Anyone AI
In Anyone AI, we invest in developers from LATAM, preparing them for future jobs and addressing the current shortage of talent in the field of AI.
Our support from
Top-Global Investors
We are VC-backed from day 1 by top-global investors and angel investors.
Global Founders Capital
Investors in Facebook, LinkedIn, Slack, Canva, Trivago, Delivery Hero, Revolut, etc
Canvas Ventures
An early investor in Coursera, Evernote, MuleSoft, etc.
Latitud Fund
Latitud Fund (the largest community of angel investors in LatAm).
Build or expand your
AI team with us
Get production-ready AI developers with real-world experience tailored toward your specific AI needs.
Hire Expert AI data trainers (RLHF and SFT), Machine Learning Engineers, Data Scientists, Data Engineers, Data Analysts and other Software Engineer roles on demand.
Do you need to hire a complete team?
Do you need to hire a complete team?
About Anyone AI
In Anyone AI, we invest in developers from LATAM, preparing them for future jobs and addressing the current shortage of talent in the field of AI.
where they worked with Fortune 500 companies like Nvidia, Intel, AWS, Dell, Cadence, Cox Automotive, FLIR, Mercado Libre, etc., completing multiple AI projects and connecting the best LATAM talent with their clients.
Our support from Top-Global Investors
Our support from Top-Global Investors
We are VC-backed from day 1 by top-global investors and angel investors.
We are VC-backed from day 1 by top-global investors and angel investors.
Global Founders Capital
Global Founders Capital
Investors in Facebook, LinkedIn, Slack, Canva, Trivago, Delivery Hero, Revolut, etc
Canvas Ventures
Canvas Ventures
An early investor in Coursera, Evernote, MuleSoft, etc
An early investor in Coursera, Evernote, MuleSoft,
etc.
Latitud Fund
Latitud Fund
Latitud Fund (the largest community of angel investors in LatAm).