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 Mentorship Program 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
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Students will graduate with a polished research paper or functional prototype.
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Students will leave with a portfolio project that stands out in college applications, competitions, and entrepreneurship challenges.
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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
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.
Independent Research
Students design and launch their own AI-powered research project in fields such as biology, education, climate, social science, or business.
Lectures & Workshops
Hands-on sessions introducing AI concepts and no-code tools.
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:
February 10
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: February 1, 2026
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.