Are you a High Schooler interested in working on a life changing AI project that will help you learn skills needed for jobs of the future, stand out in college applications and help you create big societal impact?
Look no further!!
Learn Artificial Intelligence and Computational Research
Learn how to Code. Build AI Projects. Publish on GitHub.
Do Research. Publish Research Paper.
Earn a Certificate. Earn a Mentor Recommendation Letter.
Create Impact.
No Pre-requisites.
STEAM in AI Students have the opportunity to work on these exciting
AI Projects across Industries, Domains and Careers
AI + Healthcare
AI + Finance
AI + Social Impact
AI + Engineering
AI + Art
AI + Music
AI + Languages
AI + BioChem
AI + Data Privacy
Online and In-Person Cohorts available for the following 6 Tracks
Foundation Track
Data Science
Online: Spring, Summer, Fall, Winter
Data Science + Data Analytics + Data Visualization
Designed for Students in Middle and High School (Grades 7-12)
The Data Science and Analytics Summer Camp in the Foundation Track is an intensive program designed to introduce middle and high school students to the exciting world of data. Over the course of seven weeks, participants will explore the fundamentals of Data Science, Data Analytics, and Data Visualization. This hands-on camp will equip students with essential skills to analyze and interpret data, make data-driven decisions, and create compelling visualizations.
Summer Duration: 7 Weeks, 14 hours (online). Cost: $2,985
Dates: Week of June 17 – Aug 9, 2024
Cohort will meet for 2 hours per week.
Summer Duration: 4 Weeks, 14 hours (online). Cost: $2,985
Dates: Week of June 17 – July 12, 2024
Cohort will meet for 3.5 hours per week.
Summer Duration: 4 Weeks, 14 hours (online). Cost: $2,985
Dates: Week of July 15 – Aug 9, 2024
Cohort will meet for 3.5 hours per week.
Master Track
Build AI Model with Code
Online : Spring, Summer, Fall, Winter
Coding + AI Model Building
Designed for Students in High School (Grades 9-12)
The Coding and AI Model Building Summer Camp in the Master Track is an advanced program designed to provide high school students with in-depth knowledge and hands-on experience in coding and artificial intelligence (AI) model development. Over the course of ten weeks, participants will embark on a journey to master coding skills and create AI models, preparing them for future opportunities in the rapidly evolving tech industry.
Summer Duration: 10 Weeks, 20 hours (online). Cost: $3,495
Dates: Week of June 17 – Aug 23, 2024
Cohort will meet for 2 hours per week.
Summer Duration: 4 Weeks, 20 hours (online). Cost: $3,495
Dates: Week of June 17 – July 12, 2024
Cohort will meet for 5 hours per week.
Summer Duration: 4 Weeks, 20 hours (online). Cost: $3,495
Dates: Week of July 15 – Aug 9, 2024
Cohort will meet for 5 hours per week.
Full Immersion Track
Master Track + Computational Research
Online: Spring, Summer, Fall, Winter
In-person: Summer.
Coding + AI Model Building + Computational Research
Designed for Students in High School (Grades 9-12) and College
The Full Immersion Coding and AI Research Summer Camp offers a unique opportunity for high school and college students to deepen their knowledge in coding and AI while engaging in a real-world research project. Participants will not only gain advanced technical skills but also develop critical research and communication skills. By publishing a group research paper, students will showcase their ability to contribute meaningfully to the field of AI and computation, setting them on a path towards successful academic and professional careers.
Summer Duration: 10 Weeks, 20 hours (online). Cost: $4,495
Dates: Week of June 17 – Aug 23, 2024
Cohort will meet for 2 hours per week.
Summer Duration: 4 Weeks, 20 hours (online). Cost: $4,495
Dates: Week of June 17 – July 12, 2024
Cohort will meet for 5 hours per week.
Summer Duration: 4 Weeks, 20 hours (online). Cost: $4,495
Dates: Week of July 15 – Aug 9, 2024
Cohort will meet for 5 hours per week.
Duration: 3 Weeks, Mon-Fri (in-person). Cost: $5,495 Commuter. $7,995 Residential
Dates: June 24th to Friday, July 12th.
Time: 9:00 am – 4:00 pm
Location: Santa Clara University, Bay Area, CA
Beginner Track
Low Code/ No Code
Online and In person: Summer only
Designed for Students in Middle and High School (Grades 7-12)
The AI Ethics and Low Code/No Code AI Tools Summer Camp is designed to introduce students to the exciting world of artificial intelligence while emphasizing the ethical considerations surrounding AI development and usage. Participants will learn about the basic principles of AI, delve into the ethics of AI, and gain hands-on experience in building AI applications using low code and no code platforms.
Duration: 2 Weeks, 10 hours (online). Cost: $1,295
Dates: June 29, June 30, July 6, July 7.
Cohort will meet for 2 Weeks, 5 hours per week.
Duration: 1 Week, Mon-Fri (in-person). Cost: $1,595
Dates: June 24 – 28, 2024.
Time: 9:00 am – 4:00 pm
Location: Santa Clara University, Bay Area, CA
Design Thinking and AI
Low Code/ No Code
Online and In person: Summer only
Designed for Students in Middle and High School (Grades 7-12)
This one-week immersive program is designed for young minds eager to explore the dynamic world of Artificial Intelligence (AI) and Design Thinking. Through interactive sessions, hands-on workshops, and collaborative projects, students will delve into the fundamentals of AI and the creative process of Design Thinking. Our camp is structured to foster critical thinking, ethical understanding, and practical skills in AI, preparing students to become thoughtful innovators in a technology-driven future.
Duration: 2 Weeks, 10 hours (online). Cost: $1,295
Dates: July 27, July 28, August 3, August 4
Cohort will meet for 2 Weeks, 5 hours per week.
Duration: 1 Week, Mon-Fri (in-person). Cost: $1,595
Dates: July 8 – 12, 2024.
Time: 9:00 am – 4:00 pm
Location: Santa Clara University, Bay Area, CA
AI in Business and Entrepreneurship
Low Code/ No Code
Online and In person: Summer only
Designed for Students in Middle and High School (Grades 7-12)
This camp offers a unique opportunity for students to explore the dynamic world of AI and its growing impact on the business sector. Through a blend of interactive lessons, workshops, and hands-on projects, students will gain a foundational understanding of AI technologies and how they are revolutionizing various business domains. Our program is structured to foster innovative thinking, practical skills in data analysis, and an entrepreneurial mindset, preparing young minds for the future of business in the digital age.
Duration: 2 Weeks, 10 hours (online). Cost: $1,295
Dates: July 13, July 14, July 20, July 21.
Cohort will meet for 2 Weeks, 5 hours per week.
Duration: 1 Week, Mon-Fri (in-person). Cost: $1,595
Dates: July 1 – 5, 2024.
Time: 9:00 am – 4:00 pm
Location: Santa Clara University, Bay Area, CA
Exciting News!!
STEAM in AI Intensive is coming to Santa Clara University in the Bay Area this Summer. Get a taste of Silicon Valley, Learn AI and do Research. Check out the Commuter and Residential Programs.
Register for Summer 2024. Early Deadline to Apply March 15th! Applications are processed on a rolling basis. Limited Seats.
How is STEAM in AIᵀᴹ different?
STEAM in AI is a Trade School for Data + AI Ethics
Developed by former Stanford and UC Berkeley Adjunct Professor, MIT Mentor $100K Entrepreneurship Competition, Data and AI Ethics thought leader from Silicon Valley, Generative AI Ethics Keynote Speaker for the U.S. Military and the California Department of Education.
The Mission of STEAM in AI is to raise the next generation of Ethics 1st Data + AI skilled workforce!University of California Berkeley
Former Adjunct Professor
Stanford University
Former Adjunct Faculty
American Society of Military Comptrollers
Keynote Speaker, AI Ethics
DeepLearning.AI by Andrew Ng
822,000+ LinkedIn followers
Featured Pie & AI Ambassador as a
Leader Building a Network of Global AI Hubs
California Department of Education
Speaker, Demystifying AI
Our Network of Mentors
STEAM in AI is taught by Mentors from the Industry
Our Mentors are Ph.D. Students, Data Scientists, AI/ ML Engineers shaping the AI Industry today.STEAM in AIᵀᴹ brings exciting opportunities for Middle, High and College Students
To work on Projects and learn how to do Computational Research in Artificial Intelligence with a strong focus on AI Ethics
Register for Summer 2024. Early Deadline to Apply March 15th! Applications are processed on a rolling basis. Limited Seats.
Late Spring and Summer 2024 Cohort Applications Open!! Online and In-Person Cohorts available!
Secure Your Spot Now! Get Priority for AI Projects and Mentors!!
Limited Seats! Rolling Admissions!!Detecting and Mitigating AI Blindspots
AI blindspots refer to limitations or shortcomings in artificial intelligence systems that can lead to unexpected errors, biases, or failures. These blindspots can arise from various factors, including the data used to train the AI, the algorithms employed, and the inherent complexities of the real world. Addressing AI blindspots requires rigorous testing, diverse and representative training data, ongoing monitoring, and a commitment to ethical AI practices. Researchers and developers are improving AI robustness and mitigating these blindspots to create more reliable and trustworthy AI systems.Personality Detection for AI Systems
The proposed project aims to develop a robust framework for detecting and characterizing the personality traits of Artificial Intelligence (AI) systems. Understanding the personality of AI is crucial for enhancing user interaction, trust, and the overall user experience. This project will explore methods to assess and categorize AI personalities, facilitating the development of more personalized and adaptive AI systems.Detecting Cardiac Arrhythmias’
Are you passionate about making a real-world impact through technology? Our winter cohort will embark on a groundbreaking project to develop an AI-powered solution for detecting Atrial Fibrillation - the most common cardiac arrhythmia affecting seniors. This isn't just a learning project; it's an opportunity to potentially save lives. Senior citizens, especially those from underserved communities, face significant challenges in accessing healthcare. Our focus? To utilize AI for remote monitoring, thus drastically improving their quality of life. You'll delve into advanced techniques like Shannon entropy, k-nearest neighbors, support vector machines, and various signal processing methods.Quantifying Inequitable Access to Election Polling Sites
Improving equitable access to community resources such as voting sites is an important first step towards addressing the needs of underrepresented populations. This project will focus on the precise quantification of inequitable access to voting booths and the automated identification of electoral ``deserts`` using real-world maps of polling coverage. The technique employed will be topological data analysis (in particular, persistent homology), a mathematical framework for detecting ``holes`` in a network or a cloud of data points.Register for Summer 2024. Early Deadline to Apply March 15th! Applications are processed on a rolling basis. Limited Seats.
Hear from STEAM in AI Graduates
Through STEAM in AI, I got to explore the fundamentals of software engineering. It helped me learn about different areas of coding, such as learning about AI, data sciences, and machine learning. This taught me what I could expect in the future.
I was originally thinking about pursuing mechanical or electrical engineering but now I’m interested in computer sciences.
Chloe Feng, Rising High School Senior
How do you think the STEAM in AI College Prep Program helped you in your Path to College?
It showed me different ethical ways to use AI and opening up my eyes to different potential issues and code wise it opened a lot of paths for to learn and explore. My interest in careers was already computer science, STEAM in AI Data + AI Ethics Intensive enforced it though.
Alexa Torres, STEAM in AI Data + AI Ethics Intensive Graduate
STEAM in AI Student Projects
Project 1: Social Media Sentiment & Image Analysis for Improving Professional Outlooks
The main goal of this project was to develop an AI-based tool that teenagers and young adults could use to analyze how potential employers would view their social media activity and to improve their professional outlook by highlighting problematic posts.
Project 2: Analyzing Building Architecture with Computer Vision
The objective of the project was to apply Computer Vision Machine Learning tools in Artificial Intelligence to analyze and classify Buildings based on their architectural features.
Project 3: Building an AI Model for Depolarization
The objective of this project was to develop an AI model using LLM (Language and Learning Models) techniques to address depolarization. The model aimed to analyze and understand polarizing language patterns, detect potential sources of polarization, and suggest strategies for promoting dialogue and understanding.
Project 4: Building an ML Classification Model for Knee MRI to help doctors with diagnosis
The objective of this project was to build a Machine Learning Classification Model to predict if a Knee had an ACL or Meniscal Tear based on an MRI image. This model could be used for an app to give a second opinion to a doctor as they evaluate a patient's Knee MRI to help prevent misdiagnosing.
Research Paper: Building a Depolarization GPT AI
Register for Summer 2024. Early Deadline to Apply March 15th! Applications are processed on a rolling basis. Limited Seats.
Students
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