PART-TIME CAREER
Machine Learning
Developer
Join our program and learn from
AI experts via daily live classes, hands-on projects, and community support designed to help you boost your career.
PART-TIME CAREER
Machine Learning
Developer
Join our program and learn from
AI experts via daily live classes, hands-on projects, and community support designed to help you boost your career.
PART-TIME CAREER
Machine Learning
Developer
Join our program and learn from AI experts via daily live classes, hands-on projects, and community support designed to help you boost your career.
PART-TIME CAREER
Machine Learning
Developer
Join our program and learn from AI experts via daily live classes, hands-on projects, and community support designed to help you boost your career.
PART-TIME CAREER
Machine Learning
Developer
Join our program and learn from AI experts via daily live classes, hands-on projects, and community support designed to help you boost your career.
PART-TIME CAREER
Machine Learning
Developer
Join our program and learn from AI experts via daily live classes, hands-on projects, and community support designed to help you boost your career.
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
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
optional
Python and Math Refresher for ML.
Sprint 1
3 Weeks
Analyzing Data and Building Data Pipelines.
Sprint 2
3 Weeks
ML Foundations, Model Training and Evaluation
Sprint 3
3 Weeks
ML Model Deployment.
Sprint 4
3 Weeks
Deep Learning and GenAI.
Final Project
3 Weeks
Prospective Company or Anyone AI. Final ML Project.
Graduation
1 Week
Fellow-led Demo Day.
In parallel, you will have English sessions and Job preparation.
Job Preparation
Additional sessions
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
In parallel
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.
Jumpstart your AI career today!
Jumpstart your AI career today!
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
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.
In parallel, you will have English classes
and Job Preparation. It will help you a lot!
Prep course
optional
Python and Math Refresher for ML.
Sprint 1
3 Weeks
Analyzing Data and Building Data Pipelines.
Sprint 2
3 Weeks
ML Foundations, Model Training and Evaluation
Sprint 3
3 Weeks
ML Model Deployment.
Sprint 4
3 Weeks
Deep Learning and GenAI.
Final Project
3 Weeks
Prospective Company or Anyone AI. Final ML Project.
Graduation
1 Week
Fellow-led Demo Day.
Job Preparation
Additional sessions
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
In parallel
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.
Jumpstart your AI career today!
Jumpstart your AI career today!
Jumpstart your AI career today!
OUR CAREER
Program Content
The program consists of 4 project-based sprints and one final project.
Maser the Coding interview.
Prep course.
optional
Python and Math Refresher for ML.
Sprint 1
3 Weeks
Analyzing Data and Building Data Pipelines.
Sprint 2
3 Weeks
ML Foundations, Model Training and Evaluation
Sprint 3
3 Weeks
ML Model Deployment.
Sprint 4
3 Weeks
Deep Learning and GenAI.
Final Project
5 Weeks
Prospective Company or Anyone AI. Final Machine Learning Project.
Graduation
1 Week
Fellow-led Demo Day.
In parallel, you will have English sessions and Job preparation.
Job Preparation
Additional sessions
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
In parallel
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.
OUR INSTRUCTORS
Learn with AI experts
Enzo Ferrante
ACADEMIC LEAD
PhD in Computer Sciences from University of Paris Saclay and INRIA, France. Visiting PhD student at the Computer Vision and Geometry Lab at Stanford University. Postdoctoral Researcher at Imperial College London.
Visiting Fellow at the Computational Neuroimaging Laboratory of Biomedical Imaging at Harvard Medical School (Boston, US). More than 10 years of research experience on deep learning, developing novel machine learning methods for computer vision and biomedical image analysis.
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 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
WHY ANYONE AI?
Hundreds of developers have advanced their AI careers with us
Hundreds of developers have advanced their AI careers with us
CONTINUOUS GROWTH
Our Specializations
Enhance your AI expertise with our specialized programs, crafted for ongoing learning that seamlessly integrates
with your professional commitments.
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…
Optimizing Large Language Models with RLHF
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….
Master the Coding Interview
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!
WHY ANYONE AI?
Hundreds of developers have advanced their AI careers with us
OUR INSTRUCTORS
Learn with AI experts
Enzo Ferrante
ACADEMIC LEAD
PhD in Computer Sciences from University of Paris Saclay and INRIA, France. Visiting PhD student at the Computer Vision and Geometry Lab at Stanford University. Postdoctoral Researcher at Imperial College London.
Visiting Fellow at the Computational Neuroimaging Laboratory of Biomedical Imaging at Harvard Medical School (Boston, US). More than 10 years of research experience on deep learning, developing novel machine learning methods for computer vision and biomedical image analysis.
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 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
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
3 Weeks
Data Manipulation. Data Engineering Fundamentals. Data Visualization and Exploratory Data Analysis.
Sprint 2
3 Weeks
Feature Engineering. Supervised Learning. Neural Networks. Model Ensemble. Unsupervised Learning.
Sprint 3
3 Weeks
Machine Learning Model Deployment.
Sprint 4
3 Weeks
NLP Fundamentals. Transformers. LLMs. Prompt Engineering.
Final Project
5 Weeks
Prospective Company or Anyone AI. Final Machine Learning Project.
Graduation
1 Week
Student-led Demoday.
In parallel, you will have English sessions and Job preparation.
Job Preparation
In parallel
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
In parallel
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
Enhance your AI expertise with our specialized programs, crafted for ongoing learning that seamlessly integrates with your professional commitments.
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…
Optimizing Large Language Models with RLHF
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….
Master the Coding Interview
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…
NEED ASSISTANCE?
Get in touch
Maria Gabriela Da Silva
Talent Acquisition and Admissions Specialist
maria.dasilva@anyoneai.com
+54 9 3515 13-0231
NEED ASSISTANCE?
Get in touch
Maria Gabriela Da Silva
Talent Acquisition and Admissions Specialist
maria.dasilva@anyoneai.com
+54 9 3515 13-0231
Your AI journey begins now!
Your AI journey begins now!
OUR INSTRUCTORS
Learn with AI experts
Enzo Ferrante
ACADEMIC LEAD
PhD in Computer Sciences from University of Paris Saclay and INRIA, France. Visiting PhD student at the Computer Vision and Geometry Lab at Stanford University. Postdoctoral Researcher at Imperial College London.
Visiting Fellow at the Computational Neuroimaging Laboratory of Biomedical Imaging at Harvard Medical School (Boston, US). More than 10 years of research experience on deep learning, developing novel machine learning methods for computer vision and biomedical image analysis.
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 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
Enhance your AI expertise with our specialized programs, crafted for ongoing learning that seamlessly integrates with your professional commitments.
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…
Optimizing Large Language Models with RLHF
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….
Master the Coding Interview
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!
NEED ASSISTANCE?
Get in touch
Maria Gabriela Da Silva
Talent Acquisition & Admissions Specialist
maria.dasilva@anyoneai.com
+54 9 3515 13-0231
NEED ASSISTANCE?
Get in touch
Maria Gabriela Da Silva
Talent Acquisition and Admissions Specialist
maria.dasilva@anyoneai.com
+54 9 3515 13-0231
NEED ASSISTANCE?
Get in touch
Maria Gabriela Da Silva
Talent Acquisition and Admissions Specialist
maria.dasilva@anyoneai.com
+54 9 3515 13-0231