Alpha AI Engineering

About — Alpha AI Engineering

The Future of AI Starts This Summer. With You.

What if your summer didn’t just go to a résumé line — but to something that actually mattered?

Alpha AI Engineering is an elite, intensive, 8-week summer experience in Austin, Texas, for exceptional student engineers.

This is not a workshop. It’s not a coding camp.

It’s a rare opportunity to architect and deploy real AI systems shaping the future of K–12 learning. You’ll take on high-stakes, production-level builds, designing tools that drive mastery, personalize the learning journey, return time to students, and build lasting confidence.

If you are serious about AI and making an impact, this is your opportunity.

Alpha AI Engineering students

About Alpha AI Engineering

Alpha AI Engineering is a focused, high-performance learning and practical application experience for freshman and sophomores at Stanford, MIT, and UT Austin to apply frontier AI to transform learning. Created by Alpha School Co-Founder Joe Liemandt, the program is built around a simple belief: the fastest way to mastery is through building something that matters.

This summer, students will work on projects focused on innovating K–12 learning to improve instructional design, operations, and student outcomes. Participants will ship AI products with learning outcomes to real students that will be used in the 2026-2027 school year.

About Alpha School

Alpha School is a nationally recognized K–12 network reimagining what school can be. Powered by AI-driven learning models, Alpha accelerates mastery, personalizes instruction, and replaces time-based progression with performance.

Students move at their own pace, build real-world skills, develop entrepreneurial thinking, and grow in confidence through meaningful work. Since launching in 2014, Alpha has expanded across multiple campuses and earned a reputation for challenging the traditional model — and delivering results.

The AI systems developed through Alpha AI Engineering operate within this dynamic K–12 landscape — where tools aren’t theoretical. They are tested in real classrooms, with real students, and real outcomes.