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The Sunrise Foundation program is designed for curious, motivated students who are eager to explore how technology—especially AI—can be used to solve real-world problems. Ideal students are not necessarily the top scorers in school, but those who enjoy learning new things, asking thoughtful questions, and experimenting with ideas. They may be interested in science, computers, or social impact—but above all, they are willing to try, fail, and try again. We look for students who are open-minded, eager to collaborate, and excited to be part of a learning journey that goes beyond textbooks.

In this program, students are expected to work closely with their peers in small teams, contributing actively while respecting different viewpoints. We encourage students to take ownership of their learning—to research, build, share, and reflect. They will need to learn how to communicate clearly, give and receive feedback, and show perseverance when things get challenging. Teamwork, accountability, and curiosity are key. While technical skills can be learned, what matters most is the attitude to learn, grow, and contribute to something meaningful.

We also expect students to engage with their mentors regularly, ask questions, and seek guidance when needed. This program is not about passive learning; it's about active doing. Students who thrive here are the ones who make the most of each session, support their teammates, and are excited to share what they’ve built. By the end of the 9 weeks, we expect every student to have built something real, learned how to work in a team, and developed confidence in using AI tools—all while having fun and making new friends.

At Sunrise Foundation, students thrive by working in small, focused teams of 6 to 9 peers, creating an ideal environment for deep learning and collaboration. These small groups enable every student to actively participate, share ideas, and build confidence while learning by doing. In the age of AI, the most valuable skills are not just technical know-how but problem-solving, critical thinking, and the ability to work with both humans and machines. Small teams provide a safe, supportive space for students to explore new tools, ask questions, and learn at their own pace—helping them build communication skills and a strong foundation in teamwork.

Each team is mentored by an experienced professional who guides the students through real-world projects. For example, a team might build an AI chatbot to help farmers get answers about crop diseases, or design a simple website that uses AI to suggest learning resources based on a student’s interests. These projects are not just academic exercises—they solve real problems and show students how AI can be used for good. Working together, students learn to divide tasks, manage timelines, and integrate each other's strengths, which mirrors the way professionals work in the tech world.

The 9-week program is intentionally designed to balance learning, exploration, and project execution. The first three weeks focus on foundational skills—basic AI Literacy, prompt engineering, and collaborative tools. The next three weeks are dedicated to applying these skills in project-based learning with regular feedback from mentors. The final three weeks help students refine their solutions, present their work, and reflect on what they've learned. This structure ensures enough time to go deep without feeling rushed, while also preparing students to keep learning long after the program ends.