Artificial Intelligence Scholars Virtual Classes and Camps
project-based artificial intelligence education
Inspirit AI Live Online is a 10 session (25-hour) program that exposes high school students to fundamental AI concepts and guides them to build a socially-impactful project. Taught by our team of graduate students from Stanford, MIT, and more students receive a personalized learning experience in small groups with a student-teacher ratio of 5:1.
Highlights Include
- Machine Learning Talks: Learn about machine learning algorithms and techniques in a uniquely interactive, engaging format, before you apply that knowledge in live coding labs.
- Hands-On Python Coding; Develop valuable skills in Python, machine learning, and artificial intelligence in our hands-on coding labs, using cutting-edge research to solve real-world problems like breast cancer diagnosis, building self-driving cars, and more.
- Project-Based Learning: In our AI for Social Good project, students will be able to apply their newly acquired talents in a collaborative, challenging environment, applying AI to a domain they're passionate about (e.g.. music, healthcare, astrophysics, finance, etc.) Students can use these projects in their résumés and college applications.
- Open Labs and Special Sessions: Come and explore the exciting topics in AI that we couldn't pack into regularly scheduled class time. Bring your college and career questions, review past class material, and attend special coding workshops!
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Camp Details
Dates & Times: 10 sessions, 2.5 hours each. See Cohort Schedule in "More Details" orange button below
Ages: 13-18
Cost: $1,100
What do self-driving cars, Alexa, and iPhone's face recognition technology have in common? They are driven by modern advances in artificial intelligence. Whether you’re interested in law, healthcare, art, or economics, AI is poised to transform every discipline and industry in the future. AI is already all around us today, and by the end of the program, students will understand the underlying concepts and motivations behind technology such as computer vision, natural language processing, and neural networks.
We will explore the foundations of machine learning and explore different applications of machine learning models. In the first half of the course, students learn AI’s core technologies including applications, foundational concepts, and programming tools through live online lectures and coding labs. Students will not only learn about different types of machine learning models, but also apply those models to real data sets. In the second half of the course, students will complete an instructor-led group project applying AI to the discipline of their choice (e.g., music, healthcare, astrophysics, finance, etc.), utilizing the programming skills they developed in the first half.
Camp Dates
All times are in Pacific Time; please adjust for your time zone.
Spring 2023:
Cohorts meet once/week for ten weeks. 10 sessions of 2.5 hours each.
- Thursdays: March 30 - June 1
4:00PM - 6:30PM PT - Fridays: March 31 - June 2
7:00PM - 9:30PM PT - Saturdays: April 1 - June 3
8:00AM - 10:30AM PT or 12:30PM - 3:00PM PT - Sundays: April 2 - June 4
8:00AM - 10:30AM PT or 12:30PM - 3:00PM PT
Summer 2023:
Weekday cohorts meet Mon-Fri for two weeks. 10 sessions of 2.5 hours each.
- June 5-16
- June 19-30
- July 3-14
- July 17-28
- July 31- Aug 11
Weekend cohorts meet Sat and Sun for five weeks. 10 sessions of 2.5 hours each.
- June 10- July 9
- July 15- Aug 13
Summer Session Times Options (Weekday or Weekend):
- 8AM - 10:30AM PT
- 12:30PM - 3PM PT
- 7PM - 9:30PM PT
Sample Daily Schedule
- Day 1 Introduction to Artificial Intelligence, Statistics and Probability, Python and AI Libraries Coding Lab
- Day 2 Machine Learning Foundations, Regression and Classification, Regression Coding Lab
- Day 3 Natural Language Processing, Test Classification, NLP Coding Lab
- Day 4 Computer Vision, Neural Networks, Neural Networks Coding Lab
- Day 5 Convolutional Neural Networks, Image and Pattern Detection, CNN Lab
- Day 6 College Prep Workshop, AI Literature Review, AI for Social Good Project Introduction
- Day 7 AI & Ethics Workshop, Data Exploration, Hands-on Project Work
- Day 8 AI & Careers Workshop, Model Building, Hands-on Project Work
- Day 9 AI Research Spotlights, Scientific Communication, Hands-on Project Work
- Day 10 Final Project Presentations, College & Career Prep Panel
Camp Questions & Answers
How do I enroll?
All participants must first apply to express their interest and share their progress in Computer Sciences. Below, add a session to your US Sports Camp cart and check-out. There is no tuition or registration fee due at this time. Simply answer all the questions (your learner will be necessary here). The leaders at Inspirit AI will review this submission and contact you about next steps.
Are there any prerequisites for the program?
We don’t require anything besides an interest in AI! 50-60% of our students are complete beginners to programming before joining the course. Our curriculum is designed to introduce new students to Python. More advanced programming students are also welcome, and will be paired with students who have similar backgrounds. They will have more challenging material suited to their experience.
In the short answer questions on the application, we just want to learn what excites you about AI and what you hope to get out of the program. We also want to get a sense of your prior programming experience, so that we can place you in a cohort appropriate for your level.
Are there any tech requirements for the course? Computer specs, software?
AI Scholars’ coursework requires a computer or laptop, because the material in our course is made interactive through a Python "notebook". This notebook is run in the Google Collaboratory environment where you can work through programming exercises, and unfortunately does not work reliably on tablets or mobile phones. Please use a computer to connect to class.
Who are the instructors?
Our instructing team is made up of graduate students, alumni, and advanced undergraduates in AI + programming from Stanford, MIT, and other top universities across the country, as well as industry professionals from companies such as Microsoft, Google, and Facebook. Our instructors come from a wide array of backgrounds and have expertise applying AI techniques to disciplines such as healthcare, arts, sustainability,engineering, science, and more.
What are some examples of the projects students can work on?
In our course, students will work on a mentor-led group project in a domain of their choice and present their work to peers and instructors on the final day. Below are some examples of our projects:
Distracted Drivers (Computer Vision): In this project, you’ll use computer vision to improve road safety by detecting distracted drivers. You’ll use a variety of machine learning techniques, including convolutional neural networks and transfer learning, to create and improve effective models. Finally, you’ll extend your model through challenge exercises: analyzing when it succeeds and fails, creating saliency maps to make your model interpretable, or editing your dataset to preserve privacy.
Pneumonia Detection (Healthcare, Computer Vision): In this project, you’ll create a computer vision system to help diagnose pneumonia from chest X-rays. You’ll review neural networks and create convolutional neural networks in Keras to process medical images. Then you’ll improve your models using transfer learning: adapting from expert models. You’ll also evaluate your model on field data, and learn to create artificial data using image transformations so that your model performs well on real-life data. You may even deploy your model to an app!
Criminal Justice (AI + Ethics): In this project, you’ll discover hidden racial biases in machine learning systems used today for deciding who to send to jail. You’ll explore different definitions of fairness and sources of bias as you create and analyze fairer models. Along the way, you’ll build your skills in machine learning, Pandas, and probability. You’ll also reflect on the ethical questions of AI: when is it ethical to use a model? In what ways could AI be more or less just than humans? How can AI be used to make the world a better place?
Artificial Intelligence Scholars Virtual Classes and Camps
Coding, All Virtual
SECURE YOUR SPOT – CAMPS SELL OUT!
Last year over 650 Sports Camps sold out, leaving 7,000+ campers on the waitlist. Due to high demand, early registration for our first-come-first-serve camps is strongly recommended.