Inspirit AI Artificial Intelligence Program for High School Students

What is Inspirit AI?

Inspirit AI provides pre-college Artificial Intelligence programs designed for middle and high school students globally. Developed and delivered by alumni and graduate students from Stanford, MIT, and other leading universities, the programs aim to expose young learners to the fundamentals and applications of AI. Instruction occurs in small groups, fostering collaboration and personalized guidance. No prior programming experience is required for introductory cohorts, making it accessible to students with diverse interests exploring the intersection of AI with fields like healthcare, art, and more. Advanced cohorts cater to those with existing programming knowledge.

The curriculum covers key AI technologies such as Computer Vision, Natural Language Processing, Recommendation Systems, and Deep Learning. A core component involves students working on mentor-led, socially impactful AI projects, applying learned concepts to real-world scenarios like precision medicine, exoplanet detection, or generative AI applications. The program also incorporates experiential workshops focused on college application preparation and guidance on pursuing AI-related careers and ventures.

Features

Expert Instructors: Taught by alumni and graduate students from Stanford, MIT, and other top universities specializing in AI.
Project-Based Learning: Students collaborate on socially impactful AI projects mentored by instructors.
Comprehensive AI Curriculum: Covers core technologies like Computer Vision, Natural Language Processing, Recommendation Systems, and Deep Learning.
College Preparation Guidance: Includes workshops on college applications and insights into AI careers.
Flexible Cohorts: Offers programs for students with no programming background and advanced cohorts for experienced students.
Small Group Instruction: Facilitates personalized learning and mentorship.

Use Cases

Developing AI for Generative Art and Storytelling.
Applying AI in Precision Medicine for Cancer Tissue Classification.
Using AI to Analyze Astronomical Data for Exoplanet Detection.
Creating AI-Powered Educational Study Assistants.
Building AI Models for Sports Analytics and Prediction.
Developing Truthful Chatbots using Large Language Models.
Exploring the Intersection of AI with Journalism, Language, Law, and Political Science.