01
Meet the person who makes AI click
Talk one-on-one with a program mentor. Experience their teaching style and ask how they support beginners and experienced students.
AGENTIC AI SCHOLARS · LIVE ONLINE · GRADES 9–12
Project-basedAgentic AI Programfor High Schoolers
Turn your child’s curiosity about AI into a project they can build, explain, and share. In 5 weeks, industry AI mentors guide them from first concepts to a working AI agent connected to their interests. No coding experience needed.
25 live hours10 weekend sessionsGrades 9–12
Start with a free, one-on-one mentor session. See an AI agent demo and explore what your child could build.
30 minutes · Parent & child welcome · No payment or commitment
YOUR CHILD’S POTENTIAL. YOUR QUESTIONS. ONE CONVERSATION.
A better next step
starts with the right mentor.
You don’t need to have AI figured out. Spend 30 minutes with a mentor and see whether this is the right learning experience for your child.
YOUR FREE MENTOR SESSION30 minutes.
Focused on your family.
Focused on your family.
Live online · One-on-one
Parents & high school students welcome
02
See an AI agent come to life
Watch an agent-building demo. See how code, tools, and information come together—and what your child could learn to build.
03
Make it about your child
Share their interests, strengths, learning style, and coding experience. Explore a project direction that connects to what excites them.
04
Leave with a clear picture
Walk through the curriculum, outcomes, weekly commitment, cohort dates, and tuition. Get the answers your family needs to decide.
Considering the November 2026 cohort? Its application deadline is November 7, 2026, 11:59 PM Pacific. Book your free session ahead of it so you have time to decide.
REAL WORK. SOMETHING TO SHOW FOR IT.
Leave with more than
“I took an AI class.”
A project you can open. Code you can walk through. Evidence of what you learned, built, and improved.
your-agent / demo
Which sources help answer this?
Find sourcesCompare evidenceCite the answer
EXAMPLE RESPONSEHere is what the evidence supports.
Illustration of a student projectSources attached. Missing information flagged.
Source 01 Source 0201 / YOUR TAKEAWAY
Hosted Agentic AI Project
A working AI agent aligned to your interests, built with professional practices and hosted as a demonstration you can share, test, and explain.
your-name / your-agentCode
agent.ts
tools.ts
tests/
README.md
Your thinking, documented.
Example repository structureThe problem · Setup · Tests · What to improve
02 / YOUR TAKEAWAY
GitHub Code
Your project code in a GitHub repository, with a README, setup instructions, test cases, and documented design decisions and limitations.
SAMPLE
STEMtiq AICertificate of
Completion
Completion
Agentic AI Scholars Program
Your name goes here25 LIVE HOURS
FINAL PROJECT
FINAL PROJECT
03 / YOUR TAKEAWAY
Certificate
The STEMtiq Agentic AI Scholars Certificate, issued after completing all five weeks and the final project. It recognizes completed work, not attendance alone.
EARNED THROUGH YOUR WORKA mentor who can
speak to your growth.
speak to your growth.
- Project quality
- Effort & improvement
- Participation
04 / YOUR TAKEAWAY
Merit-Based Letter of Recommendation
An industry AI mentor may award a letter based on demonstrated project quality, effort, and participation. It is performance-based, not automatic or included simply for enrolling.
Imagine your child presenting their own AI agent.
Meet the mentor and see how the program helps them get there.
ONE SHARED FOUNDATION. YOUR OWN DIRECTION.
Your interests. Your future major.
Your AI agent.
Investigate biomedical evidence, analyze legal arguments, evaluate markets, or improve software. Build an agent that uses tools, checks its work, and produces a result you can defend.
Computer Science
Software Engineering & Code Review Agent
- Computer science
- Software engineering
- Data science
CAPSTONE CHALLENGE
“Investigate a failing feature in a provided codebase. Locate the relevant code, propose a patch, and present test evidence for a maintainer’s review.”
AGENT WORKFLOW
- Inspect the issue and retrieve relevant code
- Propose a patch and request approved tests
- Analyze results and prepare a review package
Technical scope & portfolio
Connect computer science to software engineering: program analysis, debugging, test design, and human-reviewed code changes.
Agent-building skills: Code retrieval, structured tool calls, patch generation, regression testing, bounded retries, and approval gates.
Portfolio deliverable: A reviewable patch proposal, regression tests, before-and-after results, and an agent execution trace.
How you’ll evaluate it: Reproduce one defined failure, evaluate the proposed fix with targeted tests, and explain any unresolved failures before approval.
Example source or technical reference:
GitHub repository contents documentation
Healthcare / Pre-Med
Biomedical Research & Evidence Agent
- Biology
- Public health
- Biomedical science
CAPSTONE CHALLENGE
“Investigate a focused biomedical research question, such as CRISPR approaches to sickle cell disease. Compare the methods, reported findings, and limitations in selected published abstracts.”
AGENT WORKFLOW
- Plan the question and search a curated study set
- Extract study methods, findings, and limitations
- Compare evidence and flag unanswered questions
Technical scope & portfolio
Connect biology, biomedical science, and pre-med interests to literature research, experimental design, and critical evaluation of scientific evidence.
Agent-building skills: Literature retrieval, structured evidence extraction, citation verification, conflicting findings, and uncertainty evaluation.
Portfolio deliverable: A citation-linked evidence table, research brief, and evaluation results for unsupported or conflicting claims.
How you’ll evaluate it: Trace every reported finding to its source, distinguish study methods, and mark information that the selected abstracts do not establish.
Example source or technical reference:
NCBI / PubMed literature tools
Business / Marketing / Finance / Economics
Market Intelligence & Strategy Agent
- Business
- Marketing
- Finance
- Economics
CAPSTONE CHALLENGE
“Evaluate a market-entry question in a chosen industry. Compare three competitors using dated public sources, calculate relevant metrics, and test strategic options under explicit assumptions.”
AGENT WORKFLOW
- Retrieve competitor evidence and company data
- Calculate comparable metrics and scenarios
- Develop strategic options with cited tradeoffs
Technical scope & portfolio
Connect business, marketing, finance, and economics to competitive analysis, financial reasoning, market structure, and decisions under uncertainty.
Agent-building skills: Multi-source retrieval, financial data extraction, calculation tools, scenario analysis, and fact-versus-assumption checks.
Portfolio deliverable: A competitive-intelligence dashboard, reproducible scenario model, and strategy brief separating facts from assumptions.
How you’ll evaluate it: Reproduce every calculation, compare matching periods and definitions, and show how changing an assumption changes the analysis.
Example source or technical reference:
SEC EDGAR public data APIs
Law / Pre-Law
Legal Research & Argument Analysis Agent
- Political science
- History
- Public policy
CAPSTONE CHALLENGE
“Analyze a fictional student-speech dispute using selected U.S. Supreme Court opinions. Compare the courts’ reasoning, build competing arguments, and identify where the facts differ.”
AGENT WORKFLOW
- Retrieve relevant passages from selected opinions
- Compare facts, reasoning, and counterarguments
- Draft an argument map and source-linked memo
Technical scope & portfolio
Connect law, public policy, and pre-law interests to legal research, precedent comparison, argument construction, and rigorous written analysis.
Agent-building skills: Legal-source retrieval, case comparison, argument mapping, pinpoint citations, and separation of evidence from inference.
Portfolio deliverable: An interactive argument map, case-comparison table, and research memo with pinpoint source references.
How you’ll evaluate it: Link each argument to a verifiable passage, distinguish court reasoning from the agent’s inference, and surface contrary evidence.
Example source or technical reference:
U.S. Supreme Court published opinions
Your Own Interest
Domain Research & Analysis Agent
- Engineering
- Environmental science
- Education
- Psychology
- Design
CAPSTONE CHALLENGE
“For an environmental engineering project, compare climate conditions across selected locations and model a resource-use scenario with a public dataset and declared assumptions.”
AGENT WORKFLOW
- Define the domain question and retrieve data
- Run calculations and compare scenarios
- Present findings, assumptions, and limitations
Technical scope & portfolio
Bring an interest in engineering, environmental science, education, psychology, or design. Define a research problem, choose appropriate methods, and defend the interpretation with evidence.
Agent-building skills: Agent design, tool integration, structured outputs, safety evaluation, and domain-specific problem solving.
Portfolio deliverable: An interactive domain analysis, reproducible calculation trace, and evaluation report for a mentor-approved research question.
How you’ll evaluate it: Use a defined dataset and measurable question; make the analysis reproducible and explain what the results cannot establish.
Example source or technical reference:
Example data source: NASA POWER
THE STANDARD FOR EVERY CAPSTONE
Build it. Test it.
Defend your decisions.
Your agent chooses its next tool or follow-up question from the results it gets, within a bounded loop. You document its evidence, test its failure cases, and keep consequential actions under human review.
Across five weeks, build one complete workflow using mentor-provided code scaffolds, 2–3 approved tools, a focused source collection, and a defined evaluation set. Advanced students can extend the scope with mentor guidance.
These are proposed capstone directions. Your mentor helps finalize the research question, source collection, and scope. Source organizations do not sponsor or endorse the program.
EXPLORE THE CODE. IMAGINE YOUR DIRECTION.
Real projects. Real code.
Explore it on GitHub.
Look inside STEMtiq’s public project references—from healthcare and finance to software and climate. Follow the workflow, inspect the code, and find an idea worth investigating.
CODE REFERENCE
Linguistics · Education · Psychology
Adaptive Language Tutoring System
Explore a tutoring workflow that adapts practice to a simulated learner’s progress, from skill assessment to the next exercise.
- Adaptive practice
- Learner modeling
- Simulated data
CODE REFERENCE
Healthcare · Pre-Med · Health Policy
Healthcare Prior Authorization System
Trace how sample records move through extraction, a simplified review workflow, and an explanation. Explore where human judgment belongs.
- Document extraction
- Review workflow
- Teaching prototype
CODE REFERENCE
Finance · Business · Data Science
Fraud Detection Co-Pilot
Compare rule-based signals with Claude-powered investigation, evidence gathering, and a human review checkpoint. Includes a mock-data mode.
- Tool calling
- Evidence gathering
- Human review
CODE REFERENCE
Computer Science · Cybersecurity
GitHub PR Review Agent
Inspect a sample code change, organize findings, and draft a structured review. Follow the patterns before exploring a real GitHub integration.
- Code analysis
- Review reports
- Sample pull request
CODE REFERENCE
Environmental Science · Earth Science
Climate Weather Prediction & Disaster Alert System
Follow simulated weather data through a forecast-and-alert pipeline. Investigate uncertainty and the checks a real-world system would need.
- Agent pipeline
- Simulated forecasts
- Alert workflow
CODE REFERENCE
Economics · Transportation · Mathematics
Surge Pricing Agent System
Simulate supply and demand across city zones, then explain pricing and allocation decisions. Connect economic models to an auditable agent workflow.
- Scenario simulation
- Supply & demand
- Decision reports
These are educational reference implementations, including simulations—not examples of verified student outcomes or production services. Your mentor helps you build one focused original project suited to your experience and chosen major. Check each repository for its setup and usage terms.
10 SESSIONS. EVERY ONE MOVES YOUR BUILD FORWARD.
Start with the basics.
Finish with “I built this.”
An ambitious path, broken into manageable steps. Learn one idea, try it in code, and use it in your own project.
- WEEK 1Understand
- WEEK 2Research
- WEEK 3Build & test
- WEEK 4Sprint
- WEEK 5Launch
01WEEK 1 · SESSIONS 1 & 2 · 5 LIVE HOURSMake Your First AgentYour first tool-using agent, an agent blueprint, and a readable record of what it did.
SATURDAY · SESSION 1
From AI User to AI Builder
- Models, chatbots, workflows, and agents
- Goals, tools, and evidence
- JavaScript variables, functions, objects, and JSON
- Running and changing a starter project
YOUR BUILD LAB
Guide a classroom agent through a familiar task, then change its goal and inspect what happens.
Leave withA running starter project and a one-page agent blueprint.
JavaScriptVS Code or GitHub CodespacesNode.js
SUNDAY · SESSION 2
Give Your Agent Useful Tools
- How a model API call works
- Function calling and JSON schemas
- Checking tool inputs and results
- Read-only tools and clear error messages
YOUR BUILD LAB
Give your agent two simple tools, such as a document lookup and a calculator, and watch it choose between them.
Leave withA two-tool mini-agent with a visible execution log.
JavaScript / TypeScriptModel APIJSON schemas
02WEEK 2 · SESSIONS 3 & 4 · 5 LIVE HOURSTeach It to Find EvidenceA research agent that cites its evidence, exposes its steps, and knows when to stop or ask for help.
SATURDAY · SESSION 3
Answers With Evidence
- Retrieval-augmented generation (RAG)
- Source selection, chunks, and search
- Citations and source-linked answers
- Missing evidence, uncertainty, and conflicting sources
YOUR BUILD LAB
Turn a small set of approved documents into an open-book research assistant, then test a question the sources cannot answer.
Leave withA cited research answer and an honest no-evidence response.
Document retrievalJavaScript / TypeScriptModel API
SUNDAY · SESSION 4
Plan, Act, Check
- Agent loops and simple orchestration
- Task state versus long-term memory
- Tool results, retries, and timeouts
- Stop rules, call budgets, and human handoff
YOUR BUILD LAB
Build a short research loop that changes its next step using tool results, with a firm limit on how long it can run.
Leave withA multi-step agent with a readable trace and tested stopping rule.
OpenAI Agents SDKTypeScriptExecution traces
03WEEK 3 · SESSIONS 5 & 6 · 5 LIVE HOURSBuild for a Problem You Care AboutYour own project prototype, a test scorecard, and documented improvements.
SATURDAY · SESSION 5
Your Major. Your Agent.
- User needs and project discovery
- Computer science, healthcare, business, law, or a scoped custom pathway
- Success criteria and example requests
- Project architecture and first complete workflow
YOUR BUILD LAB
Scope a biomedical evidence agent, legal research agent, software engineering agent, market intelligence agent, or custom research agent. Define the research or engineering question, approved tools, source collection, and evaluation criteria with your mentor.
Leave withA project brief and the first end-to-end run of your major-aligned agent.
Project briefGitHubAgent starter project
SUNDAY · SESSION 6
Break It. Make It Better.
- Evaluation datasets and clear scoring rules
- Tool choice and evidence checks
- Ambiguous inputs, missing data, and failure analysis
- Comparing quality, response time, and model usage
YOUR BUILD LAB
Trade tricky test cases with a classmate, inspect the failed runs, and compare your agent before and after a fix.
Leave withA repeatable test scorecard, failure notes, and an improved agent.
Test casesExecution tracesGitHub commits
04WEEK 4 · SESSIONS 7 & 8 · 5 LIVE HOURSMake It Safe. Make It Yours.A usable project demo with an approval checkpoint, a personalized feature, and fresh test evidence.
SATURDAY · SESSION 7
Keep People in Control
- Prompt injection and untrusted content
- Least privilege and human approval
- Secrets, synthetic data, and privacy
- Clear inputs, progress, errors, and results in a web interface
YOUR BUILD LAB
Try a harmless prompt-injection challenge, add an approval checkpoint, and connect your agent to a simple web app.
Leave withA usable demo with a human-review step and documented safety boundaries.
Next.js starterEnvironment variablesApproval checkpoints
SUNDAY · SESSION 8
Agent Build Sprint
- A scoped, mentor-supported hackathon
- Prioritizing one useful feature
- Peer feedback and debugging
- Retesting before calling a feature complete
YOUR BUILD LAB
Build one meaningful improvement to your existing project within the live session, then show a peer the test that proves it works.
Leave withA saved project milestone with a new feature and updated test results.
Your agent projectGitHubTest scorecard
05WEEK 5 · SESSIONS 9 & 10 · 5 LIVE HOURSShip It. Explain It. Own It.A hosted AI agent demo, documented GitHub code, a portfolio story, and mentor feedback from Demo Day.
SATURDAY · SESSION 9
Launch & Portfolio Workshop
- Hosting and checking your demo link
- README, setup, architecture, and limitations
- Keeping secrets out of published code
- Your contribution, project story, and next steps
YOUR BUILD LAB
Publish your demonstration and write the story behind it: the problem, what you built, what failed, and what you improved.
Leave withA shareable hosted demo, GitHub repository, and concise project write-up.
GitHubNext.jsVercel
SUNDAY · SESSION 10
Demo Day With Industry AI Mentors
- Live project demonstration
- Explaining evidence, design choices, and limitations
- Mentor questions and feedback
- A practical roadmap for continued learning
YOUR BUILD LAB
Show your agent solving a problem, explain one failure you fixed, and discuss your next idea with industry AI mentors.
Leave withA final presentation, mentor feedback, and your next-build roadmap.
Hosted projectGitHub repositoryDemo presentation
WHAT A LIVE SESSION FEELS LIKE
Learn a little.
Build a lot.
An example 150-minute session. The pace adapts to the activity, with time to ask questions and a real break.
- 25 minUnderstand the idea
- 35 minCode along
- 10 minTake a break
- 65 minBuild with guidance
- 15 minShare & reflect
Can you picture your child building this?
See an agent-building demo and ask the mentor how the journey adapts to your child’s starting point.
CODE. MODELS. TOOLS. A WORLD TO EXPLORE.
Build your first agent.
Discover what comes next.
Go beyond chatting with AI. Connect models to tools, give your agent context, and learn how builders turn an idea into a working system.
YOUR GUIDED BUILD STACK
One connected route from first lines of code to a hosted agent. These are your starting tools; the concepts travel across models and frameworks.
JavaScript & TypeScript
Start with readable JavaScript, then use typed starter code to connect tools and build your agent.
VS Code / GitHub Codespaces
Write, run, and debug code in a guided development environment.
Node.js & Model APIs
Run your agent and learn the API concepts used by providers such as OpenAI and Anthropic.
OpenAI Agents SDK
Organize tool use and inspect an agent run after learning how the underlying loop works.
Git & GitHub
Track changes and publish code with a README, test cases, and your individual contribution.
Next.js & Vercel
Use a mentor-provided web app scaffold to give your agent an interface and host a demonstration.
THE WIDER AGENT ECOSYSTEM
Meet the names. Understand the possibilities.
A discovery map for demos, comparisons, and stretch explorations. Your mentor selects what fits your project and experience; you do not need to learn or subscribe to every tool.
MODELS & REASONING
Different models. Better questions.
Explore how GPT, Claude, and Gemini approach a task. Ask what changes in answer quality, response time, and cost—and how you would test it.
AGENT FRAMEWORKS
From a tool call to a team of agents.
See how frameworks organize tools, state, and handoffs. Compare a simple loop with a graph or a specialist agent—and decide when added complexity earns its place.
TOOLS, CONTEXT & CONTROL
Give your agent a useful world to work in.
Connect retrieval, structured tool calls, and approval checkpoints. Explore MCP as a shared way for AI applications to connect to tools and data.
Required tools, API usage, and demo hosting are included during the five-week program. The wider ecosystem is for exploration; not every product is used in every cohort.
Grounded in current agent-building practice
Original lessons informed by official engineering resources. We teach tools, evidence, evaluations, and human oversight—not a list of buzzwords. Source organizations do not sponsor or endorse STEMtiq.
- Anthropic · Building Effective Agents
Simple agent architectures, tools, retrieval, stopping rules, and measuring when added complexity helps.
- OpenAI · Function Calling
How models request tools, how application code executes them, and how structured tool inputs work.
- OpenAI · Evaluate Agent Workflows
Inspecting traces and using repeatable test cases to improve agent behavior.
- Google ADK · Action Confirmations
The human-in-the-loop principle: pause a tool action for review before proceeding.
GUIDANCE WHEN THE BUILD GETS INTERESTING
Meet the challenge.
With a mentor beside you.
Industry AI mentors help you connect the concept to your code, improve your project, and explain your work with confidence.
Explain the Engineering
Industry AI mentors connect each concept to practical decisions: which tools to use, what to test, and when a simpler solution is better.
Coach Your Build
Get help scoping your project, reviewing failures, and improving your agent through the live project studios and build sprint.
Challenge Your Demo
Present your work on Demo Day, answer questions about your choices, and use mentor feedback to plan what you will build next.
FOR STUDENTS & PARENTSMeet one-on-one.
Meet one-on-one.
Decide with confidence.
Watch the mentor explain an AI agent build. Share how your child learns, where they shine, and where they need support. Leave with a clearer sense of the teaching style and program fit.
YOUR NEXT CHAPTER. BUILT ON REAL WORK.
Show your curiosity.
Back it up with a build.
Thinking about college, a future major, or your first technical opportunity? Turn an interest into something you can demonstrate: code, experiments, and a project story in your own words.
Make “I’m interested in…” something you can show.
A thoughtful project gives you specific material for an activities description, a relevant essay, or a portfolio where a college accepts one. The value is in your decisions, contribution, and growth.
ILLUSTRATIVE PROJECT STORIES · YOUR RESULTS AND CONTRIBUTION WILL BE YOUR OWN
HEALTHCARE / PRE-MED
“I’m curious about medical research.”
Compare published abstracts with an evidence agent. Document which claims it could support, where sources disagreed, and how you revised its response.
Research curiosity + critical evaluationCOMPUTER SCIENCE
“I want to build useful software.”
Investigate a bug with a code-review agent. Show your proposed change, the tests you added, and what failed before you improved it.
Technical initiative + persistenceLAW / BUSINESS / PUBLIC POLICY
“I care about how decisions are made.”
Build an agent that compares competing arguments or market evidence. Explain your sources, assumptions, and where a person must make the final call.
Analytical thinking + responsible judgmentBuild a story you can explain.
Your GitHub history, working demo, test results, and reflection help make your contribution visible. Keep improving the project beyond the program as your interests grow.
- ChooseA question you actually care about
- BuildCode and decisions you can explain
- TestEvidence of what worked and changed
- ReflectWhat you learned and will try next
Aim high, and keep the work authentic. MIT’s portfolio guidance emphasizes original work and the build process; Yale’s admissions guidance encourages students to explain meaningful interests in their own voice. Follow each college’s submission requirements. STEMtiq is not affiliated with these universities and does not guarantee admission, a special admissions advantage, or college credit.
Connect their interests to work they can show.
Discuss your child’s goals and a meaningful project direction with the mentor.
THE VALUE BEHIND THE PROGRAM
Compare the details.
Choose with confidence.
From the first live session to Demo Day, see what’s included and what your student can show for it. Use these questions when comparing AI programs.
What matters
Ask other programs
STEMtiq AIAgentic AI Scholars Program
Live learning & support
Ask other programsHow much time is live, and who helps when my student gets stuck?
STEMtiq AI Scholars25 live hours. 10 weekend sessions. 5 weeks.Ask questions, debug code, and get feedback from industry AI mentors during instructor studios and project labs.
A project with purpose
Ask other programsWill the project connect to my student’s interests and future major?
STEMtiq AI ScholarsBuild one complete, major-aligned AI agent.Investigate biomedical evidence, analyze legal arguments, research markets, or review code. Mentors help scope an achievable project.
Code they can explain
Ask other programsWill my student write code and know how to run and extend it?
STEMtiq AI ScholarsProject code on GitHub, with a README and setup instructions.Start with guided code, connect tools and sources, and document your own contribution, design decisions, and limitations.
Evidence that it works
Ask other programsHow will students test accuracy and handle mistakes?
STEMtiq AI ScholarsTest cases, citation checks, and human-review checkpoints.Evaluate difficult inputs and unsupported claims. Record what worked, what failed, and what you improved.
A portfolio they can show
Ask other programsWhat can my student demonstrate at the end?
STEMtiq AI ScholarsA hosted agent demo and Demo Day with industry AI mentors.Present the working project, explain your choices, and receive feedback. Keep the code and a concrete project story to build on.
Recognition they earn
Ask other programsWhat is required for a certificate or recommendation?
STEMtiq AI ScholarsCertificate on completion. Recommendation letters may be awarded on merit.Complete the program and final project for the certificate. A mentor may award a letter based on project quality, effort, and participation; it is not automatic.
Clear technology costs
Ask other programsAre the required AI tools and demo hosting extra?
STEMtiq AI ScholarsRequired model/API usage and demo hosting are included for 5 weeks.Your tuition covers the tools needed for the program. Optional continued API usage or hosting afterward may have provider costs.
Confidence to start
Ask other programsHow can I tell whether the program and mentor are right for my child?
STEMtiq AI ScholarsStart with a free, one-on-one session with a program mentor.See an AI agent building demo, experience the mentor’s teaching style, and discuss your child’s strengths, interests, and readiness. No commitment to enroll.
See what your child could build. Meet the mentor who will guide them.
$299 USD · One-time program tuition · Explore the outcomes, teaching style, and fit for your child in a free session.
Free one-on-one mentor session · No commitment to enroll · Program tuition has a 7-day money-back guarantee
YOUR NEXT FIVE WEEKENDS OF BUILDING
Pick your start.
Put your idea in motion.
Review the dates, then discuss your preferred cohort in your free session. Applications close one week before each cohort begins. Book ahead so your family has time to make an informed decision.
Every Saturday & Sunday · 8:00–10:30 AM Pacific Time
October 2026 Cohort
October 17–November 15, 2026
Applications closed Oct 10, 2026
10 sessions · 25 live hours · Same curriculum
View all 10 session times
- 1. Sat, Oct 178:00 AM PDT–10:30 AM PDT
- 2. Sun, Oct 188:00 AM PDT–10:30 AM PDT
- 3. Sat, Oct 248:00 AM PDT–10:30 AM PDT
- 4. Sun, Oct 258:00 AM PDT–10:30 AM PDT
- 5. Sat, Oct 318:00 AM PDT–10:30 AM PDT
- 6. Sun, Nov 18:00 AM PST–10:30 AM PST
- 7. Sat, Nov 78:00 AM PST–10:30 AM PST
- 8. Sun, Nov 88:00 AM PST–10:30 AM PST
- 9. Sat, Nov 148:00 AM PST–10:30 AM PST
- 10. Sun, Nov 158:00 AM PST–10:30 AM PST
November 2026 Cohort
November 14–December 13, 2026
Application deadline Nov 7, 2026
10 sessions · 25 live hours · Same curriculum
View all 10 session times
- 1. Sat, Nov 148:00 AM PST–10:30 AM PST
- 2. Sun, Nov 158:00 AM PST–10:30 AM PST
- 3. Sat, Nov 218:00 AM PST–10:30 AM PST
- 4. Sun, Nov 228:00 AM PST–10:30 AM PST
- 5. Sat, Nov 288:00 AM PST–10:30 AM PST
- 6. Sun, Nov 298:00 AM PST–10:30 AM PST
- 7. Sat, Dec 58:00 AM PST–10:30 AM PST
- 8. Sun, Dec 68:00 AM PST–10:30 AM PST
- 9. Sat, Dec 128:00 AM PST–10:30 AM PST
- 10. Sun, Dec 138:00 AM PST–10:30 AM PST
December 2026 Cohort
December 12, 2026–January 10, 2027
Application deadline Dec 5, 2026
10 sessions · 25 live hours · Same curriculum
View all 10 session times
- 1. Sat, Dec 128:00 AM PST–10:30 AM PST
- 2. Sun, Dec 138:00 AM PST–10:30 AM PST
- 3. Sat, Dec 198:00 AM PST–10:30 AM PST
- 4. Sun, Dec 208:00 AM PST–10:30 AM PST
- 5. Sat, Dec 268:00 AM PST–10:30 AM PST
- 6. Sun, Dec 278:00 AM PST–10:30 AM PST
- 7. Sat, Jan 28:00 AM PST–10:30 AM PST
- 8. Sun, Jan 38:00 AM PST–10:30 AM PST
- 9. Sat, Jan 98:00 AM PST–10:30 AM PST
- 10. Sun, Jan 108:00 AM PST–10:30 AM PST
Discuss your preferred cohort and your child’s schedule in your free mentor session. Application deadlines are 11:59 PM Pacific on the dates shown; booking a free session does not reserve a program seat. Session times adjust for daylight saving in the selected time zone. All listed weekends are teaching weekends, including November 28–29 in the November cohort, and December 26–27 and January 2–3 in the December cohort.
THE DETAILS, ALL IN ONE PLACE
Clear expectations.
A confident next step.
Prerequisites
High school students in grades 9–12 or equivalent.
No prior programming or computer science required. Bring an interest in AI, a laptop, and a willingness to try.
Already code? Take on stretch challenges that deepen your project.
Program fee
EARLY-BIRD TUITIONRegular tuition $799 USD
$299USD · one time · Save $500
25 live hours, the full project journey, required API usage, and demo hosting during the program.
Your first step is free. Meet the mentor and understand the full program before deciding whether to apply.
Optional continued usage or hosting after five weeks may have provider costs.Application deadlines
- October 2026 Cohort
- October 10, 2026
- November 2026 Cohort
- November 7, 2026
- December 2026 Cohort
- December 5, 2026
Deadlines are 11:59 PM Pacific Time. Meet the mentor before your preferred cohort’s deadline to leave time for any application steps.
Review all session dates7-Day Money-Back Guarantee
Try the first week of the Agentic AI Scholars Program. Request a full tuition refund within 7 days of your cohort’s first live session. No questions asked.
- Full refund100% of tuition returned
- 7-day windowFrom the first live session
- No questions askedNo explanation required
Email admissions@stemtiq.org with the student’s name and enrollment email within the 7-day window. Applies to the Agentic AI Scholars Program only.
Read the refund termsONE SMALL STEP. A CLEARER DECISION.
Meet the mentor.
Decide together.
- 1
Choose a time
Open the calendar, choose an available appointment, and complete the booking details.
- 2
Bring your curiosity
Join online with your child if possible. Bring questions about their interests, experience, and goals.
- 3
See the learning in action
Watch an AI agent demo, meet the mentor, and explore the outcomes and teaching approach.
- 4
Choose your next step
Discuss program fit, tuition, and cohort dates. If it feels right, the team explains how to apply. The choice is yours.
FOR THE GOOD QUESTIONS
Less wondering.
More clarity.
What happens in the free session?
You meet one-on-one with a STEMtiq program mentor for 30 minutes online. See an AI agent-building demo, experience how the mentor explains concepts, and walk through the curriculum, projects, outcomes, schedule, and tuition. Share your child’s interests, strengths, and experience so you can discuss a suitable starting point and project direction.
Is the session really free? Do we have to enroll?
Yes, the session is free. No payment or commitment to enroll is required. It is a chance to get clear answers and decide whether the program fits your family. Booking a session does not reserve a program seat or tuition offer.
Should my child join the session?
We encourage you to join together so your child can see the demo, ask questions, and meet the mentor. You can also attend as a parent first. Bring your questions; no coding preparation is needed.
My child is interested in AI but has never coded. Is that okay?
Yes. The program is for high school students in grades 9–12 or equivalent, with no prior programming, computer science, or AI experience required. In the free session, discuss your child’s starting point and the support they may need. Students who already code can explore stretch challenges.
What will my child actually build?
A major-aligned AI agent with a clear goal, useful tools, approved information sources, and tests. Students use guided starter code and mentor feedback, personalize their project, publish code on GitHub, and host a demonstration they can explain. The free session includes a demo to make that journey concrete. These are educational portfolio projects, not certified production systems.
Do we need to choose a future major first?
No. Your child can start with an interest in healthcare, law, computer science, business, or another field. Talk through their strengths and curiosity with the mentor in the free session. Everyone learns the same core agent-building skills; the mentor helps refine a feasible project direction.
How much time does the program take?
The program runs for 5 weeks, with one 2.5-hour session every Saturday and Sunday: 10 sessions and 25 live hours. Plan for five live hours each weekend, plus optional 1–2 hours of practice. Review all cohort dates with your family before deciding.
What are the class times in my time zone?
Sessions run 8:00–10:30 AM Pacific Time. Use the time-zone selector in the cohort section to see all ten sessions in your zone, including daylight-saving changes. The published November and December cohorts include holiday weekends. Your free session is a separate appointment; choose its time in the booking calendar.
Who teaches and supports my child?
Industry AI mentors guide live learning, project scoping, coding, debugging, and Demo Day feedback. The one-on-one free session lets you meet a program mentor, experience their teaching style, and ask how the program would support your child.
What does the full program cost?
Current one-time tuition is $299 USD, with early-bird pricing available against regular tuition of $799 USD. It includes all 25 live hours, mentor feedback, the build sprint, Demo Day, required model API usage, and demo hosting during the five weeks. The introductory mentor session is free. If you choose to continue, admissions explains the application and payment steps; review the current tuition before paying.
Are there costs for tools or hosting afterward?
Required API usage and demo hosting are included during the five-week program. Students keep their code. Continuing to run a live agent afterward may involve optional model-provider or hosting charges. Discuss these options in your free session before deciding.
Does every student receive a certificate and recommendation letter?
The STEMtiq Agentic AI Scholars Certificate is issued after completing the five-week program and final project. A mentor may separately award a recommendation letter based on project quality, effort, and participation. It is not automatic or guaranteed by enrollment.
Can the project support college applications?
The project gives your child concrete work to discuss where an application allows: a problem they explored, code they contributed, tests they ran, and lessons they learned. STEMtiq does not guarantee admission, promise a special admissions advantage, or award college credit. A thoughtful project is part of a broader learning story.
When should we book our free session?
Book ahead of your preferred cohort’s application deadline so you have time to meet the mentor, review the schedule, and decide together. The published cohort deadlines are program application deadlines, not deadlines for the free session. The calendar shows available appointments; booking a session does not confirm admission or reserve a seat.
What if the program is not the right fit?
Use the free session to explore the fit before you commit. If you later enroll, Request a full tuition refund within 7 days of your cohort’s first live session. No questions asked. Email admissions@stemtiq.org with the student’s name and enrollment email within the 7-day window. No explanation is required.
A question about your student? Talk to admissions@stemtiq.org
THE NEXT STEP IS A CONVERSATION
See what your child
could build with AI.
Meet the mentor. Watch the demo. Get answers for your family.
Leave with a clearer picture of your child’s next step.
Free · 30 minutes · One-on-one · No commitment to enroll