Empowering Future Tech Leaders

Empowering students, promoting diversity, and developing future tech leaders to excel in solving real-world problems with CS & AI.

We grow students to become new leaders with Computer Science (CS) skills who will thrive in the latest Artificial Intelligence (AI) age, regardless of location and background. We invite passionate tech professionals to inspire, use state-of-the-art AI to augment, and collaborate on the cloud to bridge everyone worldwide, enabling students to solve real-world problems as a team to contribute back to the communities.

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 November 6th, 2025, 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 two-part challenge to find and train the next generation of AI builders.

*Course Registration Ends On 2025/11/06

*If you pass the vetting process, emails will be sent out on 2025/11/06, please keep an eye on your email.

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 Saturday, 9:00 AM - 10:30 AM (GMT+8)

  • Dates: November 8th, 2025 - December 27th, 2025

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

A Serious Project, A Real Certificate, and Zero Cost.

At csequityai, we believe in making advanced technical education accessible. This entire program is offered for free.

  • 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 csequityai 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

  • Alwin Lin

    FOUNDER

    CS Equity AI

    Linkedin

  • Sam Lin

    LEAD COACH

    Automotive Services XPA Tech Lead

    Google

    Linkedin

  • Ellen (Wen-Hsing) Chang

    MENTOR

    Senior Technical Program Manager

    Google

    Linkedin

  • 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 November 6th, 2025, 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.