Empowering Future Tech Leaders

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Build. Launch. Scale — independently.

We empower students with computer science and AI tools to turn ideas into real products, automate at scale, and build globally impactful businesses on their own.

In the AI era, a single person can create what once required an entire company — we make sure students are ready.

Infographic titled 'Your Roadmap to Becoming A 1-Person AI Unicorn' outlining a five-step process with dates and goals, including applying and registering for a program by March 7, 2026, completing a foundational AI course by March 14, 2026, building a first AI app by 12 weeks, launching a team and project by Q4 2027, and key deadlines on March 7, 14, and 22, 2026.

Phase 1: The Qualifier [Self-Paced, Online]

This is your entry point. Prove you have the drive by completing a series of self-paced projects. Successfully completing this phase qualifies you for the live lab.

  • What you'll do: Master Python, Pandas, and fundamental Machine Learning with our auto-graded assignments.

  • Time Commitment: 4-16 hours total.

  • Deadline: Must be completed by March 14th, 2026, 23:59 GMT+8.

[MLE-STAR] AI Agents: From Code to Cognition

Build an AI That Codes Itself

An advanced AI engineering lab from csequityai. Go from Python basics to building an AI agent that thinks, plans, and codes. Your only cost is your time and commitment.

This is a Multi-part challenge to find and train the next generation of AI builders.

March 7: Deadline to express interest (Application).

March 14: Deadline to prove capability (Certification).

March 22: The "Gate" opens for Phase 2 (Selection Announcement).

Apply For the Course

Phase 2: The AI Agent Lab [Live & Interactive]

Collaborate with a select group of peers in live, instructor-led sessions to build a sophisticated AI from the ground up.

  • Schedule: Every Sunday, 9:00 AM - 10:30 AM (GMT+8)

  • Dates: TBD

  • Final Demo Day: To be scheduled after the course.

High-Impact Curriculum, Real Credentials, Zero Cost

In alignment with our mission for computational social equity, CS EQUITY AI removes financial barriers entirely. This entire program, designed to develop future tech leaders, is offered at zero cost.

  • A Standout GitHub Project: You will build "The AI Data Scientist," a complex agent that showcases your skills in system design, API integration, and prompt engineering.

  • Certificate of Completion: Earn a certificate from CS Equity AI that formally recognizes your achievement.

  • Practical, In-Demand Skills: Move beyond basic tutorials and gain hands-on experience in AI engineering.

  • 100% Free: Thanks to our use of free-tier cloud resources, your spot in this course is completely free.

Meet the Team

  • Young man in a checkered shirt standing in front of a tropical floral mural.

    Alwin Lin

    FOUNDER

    CS Equity AI

    Linkedin
  • Skydiver in freefall above the landscape with blue sky and earth surface below.

    Sam Lin

    LEAD COACH

    Automotive Services XPA Tech Lead

    Google

    Linkedin
  • A young woman in a navy blazer and white shirt, smiling softly against a gray gradient background.

    Ellen (Wen-Hsing) Chang

    MENTOR

    Senior Technical Program Manager

    Google

    Linkedin
  • A professional headshot of a man in a black suit, light blue shirt, and patterned tie, with short dark hair and slight facial hair, against a dark background.

    Li-Ta Hsu

    MENTOR

    Associate Professor

    Hong Kong Polytechnic University

    Linkedin

Application Q&A

  • This course is designed for ambitious high school students who have some basic coding experience and want to tackle a serious AI engineering project. It's perfect for anyone who wants a standout project for their university or internship applications.

  • Yes, fluency in English and comfort in presenting in front of an audience are important for understanding the lectures, collaborations, and presentations during the course.

  • The course is open to all students

    We welcome individuals from various academic backgrounds who are interested in AI.

    Do note that the course, presentation, and team projects will be purely English, so fluency in English is required

  • Moving students beyond theory and basic coding exercises by having them build a complex, multi-component AI agent from the ground up with the help of LLMs

  • While coding experience is not mandatory, it’ll make the course easier. If you have no coding experience, please indicate that in the application.

  • No specific experience is required, but we ask you to describe your familiarity with generative AI to better tailor the course to your needs.

    • Phase 1 (Qualifier): This is self-paced and can take anywhere from 4 to 16 hours, depending on your prior experience. You have until March 14th, 2026, to complete it.

    • Phase 2 (Live Lab): This requires attending a live 1.5-hour session every Saturday at 9 AM (GMT+8) for 8 weeks, plus an estimated 2-3 hours per week for project work.

  • You will be able to explain and potentially replicate the paper MLE-Star published by Google,
    understanding Multiple Agent Systems, and utilize Google’s Agent Development Kit.

  • All teams will present their final projects, and each team member must participate in the presentation. Team members will decide how to allocate speaking roles among themselves.

  • Please click on the “Apply Now” button at the bottom

  • Phase 1 is an open online qualifier.

    Anyone can apply and attempt the self-paced projects. If you successfully complete Phase 1 by the deadline, you will automatically earn a spot in Phase 2, the exclusive live AI Agent Lab.

Apply for the course