The Inspirit AI Continuous Learning Portal
The Inspirit AI Learning Continuous Portal is the next step in your AI learning journey—designed to support your growth and success by providing invaluable resources for college preparation, research and careers in AI.
Continue Your AI Learning Journey
Your AI learning journey begins with AI Scholars—and continues with our Inspirit AI Continuous Learning Portal. AI Scholars students gain access to a robust library of resources to support high school students as they learn, grow, and prepare for a future shaped by AI. With several additional project notebooks, college preparation and career resources, and 50+ AI research talks, the Inspirit AI Continuous Learning Portal equips students with the knowledge and skills needed to excel in AI and beyond.
AI Learning Portal Components
Full-Access to Class Materials
Including lecture slides, coding notebooks, and solutions for students to review after class.
50+ AI + X Research Talks
from Stanford, MIT, and Ivy League Inspirit Instructors on how AI is transforming various domains and industries—from healthcare to finance to the humanities.
4 Additional AI Projects
across disciplines, such as healthcare, astronomy, finance, technology, and social good for students to continue their AI journey after the completion of the program.
College, Careers, & Research Prep
resources to learn how to strategically position your research projects in your college applications, plus AI career guidance.
Full-Access to Class Materials
Students will receive access to all their class materials through our online platform, ensuring they can continue learning and reviewing even after class sessions end. This includes lecture slides, coding notebooks, and detailed solutions, providing a comprehensive resource to reinforce concepts and support independent study. Students will receive continued access to materials for 1 year after the program completion.
50+ AI + X Research Talks
Our team consists of alumni and graduate students from Stanford, MIT, and Ivy League Universities who have done cutting-edge research in the field. In our AI + X Instructor Spotlights, our Inspirit Instructors share the most recent developments in artificial intelligence, with the goal of inspiring high school students to conduct their own research. On our Inspirit AI Continuous Learning Portal, students have access to 50+ AI + X Research Talks on how AI is transforming various disciplines.
AI Research Talks Across Domains Include:
AI + Medicine
Explore how AI can be used to diagnose and treat disease, develop new treatments and medications, and understand overall health and medicine.
Sample Talk:
How AI Can Transform Dermatology with Stanford Medical Student, Joshua Tanner
AI + Business & Finance
Learn how AI can be used to predict stock market prices, understand cybersecurity and financial data, and understand overall business and finance.
Sample Talk:
BERT Prediction of Stock Prices with AI Researcher and Yale Alum, David McCowin
AI + Humanities
Consider how AI can be used for translation and text tools, research and analysis, and more, as well as discover critical questions about ethical implications of AI tools.
Sample Talk:
Extracting Dialogue from Contemporary Novels with Harvard Student, Ria Dhull
AI + Arts & Music
Dive into an exploration of how AI can generate art and music, develop music recommendations, and understand the overall fields of art and music.
Sample Talk:
How Machine Learning is Impacting Music with Aditya Chander, Yale Ph.D. Student
AI + Mathematics, Robotics & Engineering
Discover how AI is automating complex mathematical calculations, revolutionizing robotics, and engineering more broadly.
Sample Talk:
Machine Learning fro Robotics with UPenn PhD Student, Bruce Lee
AI + Space, Astrophysics, & Physics
Learn how AI allows us to analyze data from telescopes and satellites, search for exoplanets, and more—in the fields of astronomy and physics.
Sample Talk:
AI and Space Exploration with MIT Alum, Samir Wadhwania
Sample AI + X Research Talks
4 Additional AI Projects
Students will receive four additional projects, such as pneumonia detection, distracted driver detection, disaster relief, and searching for exoplanets, within the Inspirit AI Continuous Learning Portal. These projects consist of objectives, background articles, coding notebooks, detailed solutions, and datasets. These AI projects will allow students to build a robust portfolio that demonstrates their skills to set them apart in the college admissions process.
Examples of Additional Projects
Pneumonia Detection
Improving medical diagnosis by using computer vision systems to detect Pneumonia from chest X-rays.
Distracted Driver Detection
Preventing road accidents by detecting driver distraction from driver images.
AI + Disaster Relief
Using AI to identify communities impacted by natural disasters and allocate aid or resources.
Searching for Exoplanets
Using data collected from NASA’s Kepler telescope to train AI to detect exoplanets.
College, Careers, and Research Preparation
Our college, careers, and research preparation resources provide invaluable guidance on how to strategically position student research projects to stand out in college applications. You will also hear from Justin Neiman, former Harvard admissions officer, on how to showcase your Inspirit AI project-building experience on your college applications.
→ Plus, an AI Careers Workshop developed by Udgam Goyal, MIT Alum
Get practical takeaways from an AI Careers workshop, designed with the intention of helping you navigate your next internship, research, and professional applications.
Udgam Goyal is a Product Lead for the Machine Learning team at Aurora, which is the market leader in building self-driving trucks, where he leads performance improvements in machine learning models for perception, motion planning, and mapping. Prior to Aurora, Udgam has spent time advising Fortune 500 tech companies at the Boston Consulting Group, leading product teams on the AI platform team at Microsoft, and building socially impactful products at Meta. Udgam has a Bachelor’s and Master’s in Computer Science with a focus in Artificial Intelligence, where he conducted research at MIT CSAIL and the MIT Media Lab.
Continuous AI Learning Journey
After students complete the AI Scholars program, they can also continue their AI learning journey through a variety of additional program offerings for returning students. We offer a 1:1 AI + X Individual Research Mentorship Program, which equips students with graduate-level AI programming and research skills and guides them to build publishable AI research projects.
