●4 weeks Live Online · Grades 9-12 · Fall 2026 Cohort

Build an AI Agent Aligned to Your Majorin 4 weeks

A 4-week live online Agentic AI project-based program for high school students interested in Computer Science, Healthcare, Finance, or Law, through live instruction, mentor sessions, and guided independent work. Earn a certificate, conditional letter of recommendation, and more.

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4 weeks live15% selection rateApplication-basedCertificate + LOR7-day money-back guaranteeSmall dedicated cohort

Four in-demand majors.
One powerful AI skill set.

Pick the field that excites you most. You will build a real AI agent project tailored to that domain — the kind of work that stands out on a college application.

Computer Science

The #1 most in-demand major in the US

Powering everything from autonomous vehicles to cybersecurity. CS graduates are the most sought-after hires in tech, finance, and every industry building with AI.

Healthcare / Pre-Med

Where AI is transforming patient outcomes

AI is reshaping diagnostics, drug discovery, and patient care. Students interested in medicine, biotech, or public health will see how agents handle high-stakes, safety-critical information.

Finance / Economics

The industry investing billions in AI

From algorithmic trading to fraud detection, finance leads AI adoption. Students interested in business, economics, or fintech will learn how agents analyze data and communicate under uncertainty.

Law / Pre-Law

AI is redefining legal research and analysis

Legal tech is one of the fastest-growing AI applications. Students interested in law, policy, or government will explore how agents organize evidence, handle ambiguity, and support human judgment.

Four weeks. From concept
to working AI agent.

Each week builds on the last. By week four, you have a tested, documented AI agent project you can demonstrate and explain.

Agentic AI

is the next frontier — agents that plan, reason, and act are replacing simple chatbots across every industry

Multi-step reasoning

tool use, evaluation, and human-in-the-loop design are the skills that separate AI builders from AI users

This program

teaches you to build production-grade agent patterns, not prompt templates — skills that transfer to any field

Week 1Think Like an Agent Builder

Foundations

  • 01Understand what makes an AI agent different from a chatbot
  • 02Learn the core building blocks: goals, planning, tools, task state, actions, and human review
  • 03Explore how your chosen pathway uses AI in the real world
  • 04Design the blueprint for your pathway-specific AI agent

Outcome: A complete agent blueprint: what it does, how it works, and how it checks its answers.

Week 2Core Agent Workflow

Build

  • 01Build the agent workflow from scratch using code
  • 02Connect the agent to approved information sources
  • 03Implement tool calls and structured data retrieval
  • 04Teach the agent to understand a request and create a research plan

Outcome: A working agent that accepts input, retrieves information, and produces structured output.

Week 3Testing, Safety, and Reliability

Evaluate

  • 01Test the agent with normal requests, edge cases, and conflicting information
  • 02Add citations, uncertainty warnings, and human-review checkpoints
  • 03Find and fix failure modes in the agent
  • 04Implement safety boundaries appropriate to your pathway

Outcome: A tested agent with safety guardrails, citations, and documented failure analysis.

Week 4Polish, Document, and Present

Ship

  • 01Finalize and personalize the agent project
  • 02Write clear documentation explaining design decisions
  • 03Prepare a demonstration of the agent's capabilities and limitations
  • 04Present the project and explain the work truthfully

Outcome: A polished, documented AI agent project you can demonstrate and explain in any interview.

Skills you will build

Agent architectureMulti-step planningTool integrationData retrievalSource evaluationEvidence comparisonCitation generationUncertainty handlingSafety boundariesHuman-in-the-loopFailure analysisAgent testingDocumentationTechnical presentation

How each week works

Approximately 4-5 hours per week. A rhythm of live instruction, mentor guidance, and independent building.

Instructor Studio

Saturdays, 90 minutes live online

Live teaching session where the instructor introduces new concepts, demonstrates techniques, and guides the cohort through the week's learning objectives.

Mentor Lab

Sundays, 60 minutes live online

Small-group session where a mentor reviews student progress, helps debug issues, provides feedback on design decisions, and answers questions.

FlexBuild

Approximately 2 hours of guided independent work per week

Independent project work on your own schedule. Apply what was taught in the Instructor Studio and bring questions to the Mentor Lab.

What you walk away with

STEMtiq Agentic AI Scholars Certificate

Issued after completing all four weeks and the final project. Reflects real work performed, not just attendance.

Conditional Letter of Recommendation

Students who complete the program with demonstrated quality and effort are eligible for a letter of recommendation from the program instructor.

Working Agentic AI Project

A real, code-based AI agent aligned to your chosen major that you built, tested, and can demonstrate and explain.

STEMtiq AI Community Access

Continue asking questions, sharing progress, and learning with other student builders after the program ends.

STEMtiq AI Lab Access

Get access to AI agent building reading materials, curated trends in AI, and exclusive workshops to keep learning beyond the program.

STEMtiq Alumni Benefits

Unlock future programs at alumni pricing, early access to new offerings, mentor office hours, and a growing network of student AI builders.

7-Day Money-Back Guarantee

Try the program risk-free. If the Agentic AI Scholars Program is not the right fit for your student within the first 7 days of the program, request a full refund. No questions asked.

Full refund

100% of tuition returned

7-day window

From the first session

No questions

Simple refund process

Real projects. Real code.
Open source on GitHub.

These are the kinds of agentic AI projects students build. Every project is fully open-sourced so you can read every line, fork it, and make it yours.

AI + Humanities

Adaptive Language Tutoring System

Diagnoses learner weaknesses across six skill dimensions, adapts difficulty in real time using Item Response Theory, and maps progress to the CEFR proficiency framework.

Item Response Theory6 skill dimensionsCEFR mappingSpaced repetition
Source Code
AI + Healthcare

Healthcare Prior Authorization System

Reviews clinical data for prior authorization decisions on diagnostic imaging. Scores requests against ACR Appropriateness Criteria and generates professional determination letters.

ACR Criteria scoringClinical NLPNote parsingDetermination letters
Source Code
AI + Finance

Fraud Detection Co-Pilot

Three agents that flag, investigate, and summarize suspicious transactions using rule-based and ML-driven signals with a human checkpoint for high-severity cases.

Rule + ML hybridHuman-in-the-loopEvidence gatheringCase reports
Source Code
AI + Software Dev

GitHub PR Review Agent

Four agents that automate code review on pull requests. Scans for security issues with CWE references, checks style rules, and posts inline comments.

Parallel agentsCWE referencesMulti-languageInline commenting
Source Code
AI + Social Good

Climate Weather Prediction & Disaster Alert System

Three-agent pipeline that forecasts extreme weather up to 10 days ahead and dispatches emergency alerts in CAP XML format used by FEMA and the Red Cross.

GraphCast GNNAutoregressive inferenceCAP XML alertsERA5/GFS ingestion
Source Code
AI + Transportation

Surge Pricing Agent System

Four agents simulate real-time ride-hailing supply and demand across five city zones, computing surge multipliers with full reasoning transparency.

Supply/demand simSurge computationDriver reallocationAuditable reports
Source Code
View All Projects on GitHub

Highly selective.
Application-based admission.

The Agentic AI Scholars Programaccepts approximately 15% of applicants. We review every application individually to build a cohort of motivated, curious students who will get the most from the program and contribute to each other's learning.

~15%

Selection rate

4

Major pathways

4 weeks

Live instruction

What accepted students receive:

4 weeks of live sessions
Weekly Instructor Studio + Mentor Lab
Pathway-specific AI agent project
Agentic AI Scholars Certificate
Conditional Letter of Recommendation
Small dedicated cohort
AI community + alumni access
7-day money-back guarantee
Apply Now

Tuition details shared with accepted students

How admission works

1

Submit your application

Choose your preferred pathway and tell us about yourself. Applications are reviewed on a rolling basis.

2

We review your application

Our admissions team reviews every application individually. We look for curiosity, motivation, and commitment to learning.

3

Selected students are notified

Accepted students receive a selection notification via email with program details and next steps.

4

Pay the enrollment tuition

Accepted students complete payment to confirm their seat. A 7-day money-back guarantee applies from the program start date.

5

Receive your official admission letter

Confirmed students receive an official admission letter, onboarding materials, and pathway preparation guides before the Fall 2026 Cohort begins.

~15% acceptance rate. We review applications on a rolling basis. Apply early to secure your spot in the Fall 2026 Cohort. No payment is required to apply.

Apply to the Agentic AI Scholars Program

Takes less than 2 minutes. ~15% acceptance rate. No payment required to apply.

Choose PathwayAbout YouContact Details

Which pathway aligns with your interests?

Student data protected under COPPA and FERPA guidelinesNo payment required to apply~15% acceptance rateRolling admissions — apply early

Questions from parents

What is the Agentic AI Scholars Program?
A 4 weeks, live online program where high school students build a real AI agent project aligned to a college major they are interested in: Computer Science, Healthcare, Finance, or Law. Each pathway has a unique project that teaches agentic AI concepts through the lens of that field.
How is this different from the weekend workshop?
The weekend workshop is a 5-hour introduction where students build a Search AI Agent in one weekend. The Scholars Program is a 4-week deep dive where students choose a professional pathway, build a more complex agent project, receive weekly mentor guidance, earn a certificate, and are eligible for a conditional letter of recommendation.
What are the four pathways?
Computer Science (Repository Support Agent), Healthcare / Pre-Med (Patient Education Navigator), Finance / Economics (Market Research Analyst Agent), and Law / Pre-Law (Case Intake and Briefing Agent). Each pathway teaches the same core agentic AI concepts through domain-specific projects.
Does my child need prior coding or AI experience?
No prior experience is required. The program is designed for beginners. Students receive onboarding materials before the first session, and the instructor and mentor provide hands-on guidance every week.
What is the weekly time commitment?
Approximately 4-5 hours per week. This includes Saturdays, 90 minutes live online, Sundays, 60 minutes live online, and Approximately 2 hours of guided independent work per week.
How does the application process work?
Submit your application through the form on this page. Our admissions team reviews every application individually. Accepted students are notified via email with program details, tuition information, and next steps. No payment is required to apply. The program has an approximately 15% acceptance rate.
How does the money-back guarantee work?
If the program is not the right fit for your student within the first 7 days from the start of the program, you can request a full refund. No questions asked. Simply email admissions@stemtiq.org within the 7-day window and the full tuition will be returned.
When does the program start and end?
The Fall 2026 Cohort runs from Saturday, October 4, 2026 to Sunday, October 26, 2026. Sessions are held on Saturdays (Instructor Studio) and Sundays (Mentor Lab).
What is the conditional letter of recommendation?
Students who complete the full program with demonstrated quality of work and consistent effort are eligible for a letter of recommendation from the program instructor. The letter is based on the instructor's assessment of the student's work, participation, and growth throughout the program.
Can my child switch pathways after enrolling?
Pathway changes can be requested before the first session. Once the program begins, switching is not available because each pathway follows a unique project progression.
Will this help with college applications?
The program gives students a substantial, multi-week AI project they can describe in applications and interviews, along with a certificate and potential letter of recommendation. STEMtiq does not guarantee college admission or represent this program as college credit. The conditional letter of recommendation is based on program completion and demonstrated quality of work, at the instructor's discretion. Its value is the student's learning, project, and ability to explain the work truthfully.

Not sure which is right?

Weekend Workshop

Try AI agent building

  • 5 hours over one weekend
  • Build a Search AI Agent
  • Great for exploring interest
  • Certificate included
  • $99 early bird
View Workshop
4-Week Scholars Program

Go deep with a major

  • 4 weeks of live sessions
  • Major-aligned AI agent project
  • Weekly mentor guidance
  • Certificate + conditional LOR
  • ~15% acceptance rate
Apply Now

Build an AI agent aligned to your future major.

4 weeks. Four pathways. A real AI agent project you built, tested, and can demonstrate. Certificate and conditional letter of recommendation included.

Apply Now

~15% acceptance rate · Application-based · 7-day money-back guarantee · Limited spots

STEMtiq does not guarantee college admission or represent this program as college credit. The conditional letter of recommendation is based on program completion and demonstrated quality of work, at the instructor's discretion. Its value is the student's learning, project, and ability to explain the work truthfully.