Build what used to be out of reach.
Lucid helps high-school students understand modern AI and use it to build a tested product or research project with close technical mentorship. Start in the ten-week AI Innovators cohort or pursue a focused goal through 1:1 Research.
No programming prerequisite. The included Launchpad teaches the essential coding and tool skills before the cohort begins.
Our mentors have worked, researched, or published with
AI changed the ceiling for a high-school student.
AI has expanded the problems a student can realistically attempt. See how Lucid turns that opportunity into a working, tested project.
See how AI Innovators worksResearch published. Products shipped. Major awards won.
Lucid students have turned mentorship into work recognized by journals, international conferences, science fairs, and real users.
Hear directly from students.
These quotes link to the original recorded interviews.
“We always got to apply the skills on our own. It taught us how to figure things out for ourselves and make the models work.”
“The program was a short lesson followed by lots of hands-on coding and group work. It was a great way to learn.”
“This class was different because most of what we learned came from practicing and writing code ourselves.”
Build with today's tools. Learn the AI underneath as you improve the project.
High-school students can learn fast enough to become AI-native while the field is still being defined. Lucid starts with a real application, then teaches the code, model concepts, data, math, and research methods needed to make it work.
students already use AI for schoolwork.
of teachers say school AI rules are clear.
Start in a cohort. Go further one-to-one.
AI Innovators is a structured ten-week build. The 1:1 Fellowship is for a student already pursuing a specific competition, paper, product, or longer technical goal.
AI Innovators
Learn how modern AI works, then apply it through Physical AI or AI for Science to build and test a complete product or research project.
- 3 live hours + 1–2 project hours weekly
- Build groups of no more than five students
- Named technical lead for each track
1:1 Research Fellowship
For students who already have a clear technical target. Lucid scopes the work, finds the right available specialist, and builds a custom milestone plan.
- Weekly 1:1 technical mentorship
- Built around one named student goal
- Rolling admissions and specialist matching
Choose the field where you want to build.
Two fast paths into mentor-led project work.
Physical AI & Robotics
Build AI that can see an environment, decide what to do, and control a robot or simulation when conditions change.
AI for Science
Build AI that reads evidence, analyzes data, uses scientific tools, and investigates a focused question in science or engineering.
Everything needed to begin, build, test, and release serious work.
AI Innovators includes the practical setup, weekly live work, current AI systems examples, project credits, feedback, and release package students need to carry one build through.
- 01An included Launchpad covering AI-assisted coding, notebooks, APIs, and the practical setup needed to begin
- 02Three live hours each week across technical instruction and a small-group build lab
- 03Current model, API, and system examples updated for the Fall cohort
- 04Model, API, and cloud-compute credits needed for the approved project
- 05Weekly demonstrations, written feedback, and access to office hours
- 06A public project package: demo or video, code, measured results, and project story
- 07A final showcase and a recommendation for the strongest next step
Students get the Launchpad, live lab structure, model credits, feedback, and final showcase needed to finish credible work.
Watch a student explain a brain-tumor segmentation system from model to results.
The presentation walks through the technical approach, evaluation, and conclusions—the work itself, not a certificate standing in for it.
See the verified outcomeBrain tumor segmentation with CNNs
A parent’s guide to helping your child use AI well.
A plain-English map of modern AI, the questions to ask any program, and examples that separate meaningful student work from a polished demo.
Choose a track. Build work you will be proud to put your name on.
The application takes about ten minutes. We use the conversation that follows to understand the student’s interests and recommend the right starting point.
