INSPIRIT AI

AI Pioneers
Middle School (Grades 7 - 8)

In AI Pioneers, our emerging engineers will learn how to create projects for social good with Python programming language. Through hands-on coding, students will learn how computers can use data to solve complex problems like natural language processing and computer vision. Led by Stanford, MIT, and top university graduates, students will explore the ways they can meaningfully use AI to predict heart disease, create social robots, assist with disaster relief, and navigate autonomous vehicles. 

In our curriculum, we emphasize ethical responsibility, career paths in artificial intelligence, and interdisciplinary applications! From beginner to advanced coders, we envision a future where students of all backgrounds can contribute towards a bright future of inclusivity and technological advancement. 

Please read more in the program flyer here. Students may apply to the program here.

COURSE STRUCTURE

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 heart disease prediction, assistive technologies, and more.

Project-Based Learning
In our final capstone project, students will be able to apply their newly acquired talents in a collaborative, challenging environment, applying AI to an in depth project Examples include allocating resources for disaster relief, sketch recognition, or creating a website to recommend movies.

AI Scholars
uppers School (Grades 9-12)

Inspirit AI offers an interdisciplinary, project-based artificial intelligence education taught by Stanford, MIT, and top university graduates

What do self-driving cars, Alexa, iPhone's face recognition technology, and ChatGPT 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.

In this course, 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 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.

Feel free to read more in the program brochure here. Students may apply here.

Course Structure

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.