1:1 No-Code AI Research Mentorship Program for High School Students

Launch your AI education journey by building innovative new projects in our 1:1 No-Code AI Research Mentorship Program, no prior programming experience required.

1:1 Program: No-Code AI Research

The Inspirit AI No-Code Research Fellowship invites ambitious high school students from all academic backgrounds to conduct original research at the frontiers of artificial intelligence.

Guided 1:1 by researchers and mentors from Stanford, MIT, and leading universities, students learn to harness powerful no-code AI platforms and modern generative AI like large language models (LLMs) to design and execute a research project that addresses a real-world challenge.

Program Outcomes

  • Students will graduate with a polished research paper or functional prototype.

  • Students will leave with a portfolio project that stands out in college applications, competitions, and entrepreneurship challenges.

  • Students will gain the ability to apply AI critically and creatively to their chosen field, without needing prior programming experience.

What Students Learn

AI Foundations

Master core concepts in natural language processing, computer vision, generative AI, and AI safety, through hands-on, no-code exploration.

Research Methods

Formulate questions, analyze data, evaluate results, and communicate findings with academic rigor.

No-Code Tools for AI

Apply platforms like RunwayML, Teachable Machine, Lovable, Cursor, and GPT data analysis to prototype working AI systems.

Ethics & Impact

Understand bias, fairness, and responsible design in AI applications.

Program Structure

ai high school

10 or 25 1:1 Mentorship Sessions

with an experienced AI research mentor from Stanford, MIT, or a leading university with industry and/or lab experience applying AI.

ai middle school

Independent Research

Students design and launch their own AI-powered research project in fields such as biology, education, climate, social science, or business.

ai competition

Lectures & Workshops

Small-group sessions introducing AI concepts and no-code tools.

ai competitions

Deliverables

A research paper or extended abstract, a functional no-code demo, and a professional presentation deck.

Example No-Code AI Research Projects

AI + Biology

Analyzing protein sequences with AI-powered bioinformatics tools.

AI + Social Science

Studying online political discourse using no-code NLP platforms.

AI + Education

Prototyping an AI tutor that personalizes study plans.

AI + Business and Economics

Building a financial chatbot for accessibility in emerging markets.

Program Logistics and Contact

This program runs for 10 or 25 sessions of 1 hour each.

Upcoming Start Dates:
September 10, October 10, November 10, or December 15

Exact session dates chosen by student & mentor. Timing is determined based on student & mentor matching.

Prospective 1:1 students please contact jared@inspiritai.com
Current 1:1 students please contact aimentorship@inspiritai.com

Program Fee and Admissions

AI+X Individual Research (10 hours): USD $2500

AI+X Individual Research Fellowship (25 hours): USD $5000

Admitted students will be emailed a link for online payment. Payment plans available.

Application Deadline: September 30, 2025

Program Curriculum

Module 1: Foundations

Intro to AI concepts, prompting, and agents using ChatGPT / Claude / Gemini.

Module 2: Core AI Methods

Use no-code AI platforms (RunwayML, Peltarion, Lovable, Cursor, Zapier AI, LangChain templates) to build text, vision, and multimodal models.

Module 3: Data Analysis Tools

Analyze and visualize datasets in Google Sheets + GPT data analysis, Airtable, or ChatGPT Code Interpreter. Drag-and-drop ML pipelines (Teachable Machine, MonkeyLearn).

Module 4: Research Skills

Learn experimental design, bias analysis, evaluation metrics via no-code dashboards. Emphasis on interpretation over implementation.

Module 5: Research Skills

Build original no-code AI project (app, pipeline, or analysis). Example: prototype an AI tutor, climate tool, social sentiment analyzer.

Module 6: Deliverables

Research paper OR extended abstract + functional no-code demo (working app/dashboard/AI pipeline) + presentation deck.