Master AI Era Core Skills

Camp A is designed for beginners and provides necessary programming guidance. We recommend learning basic Python before joining to better understand the 2Brain architecture modules. For students with no programming background, we focus on their mathematical and logical abilities during the interview. Camps B and C require some programming foundation, but we assess student levels during interviews to ensure they can keep up with the course.

Camp A only requires a standard development laptop (16GB+ RAM). Camps B and C involve model deployment, so we recommend using a computer with NVIDIA GPU or our provided cloud development environment. We provide necessary API KEYs for LLMs and cloud/local GPU resources for deployment. All necessary software and environment setup guides will be provided before the course starts.

2Brain is a complete enterprise-level knowledge intelligence system architecture, not just an AI framework. It integrates the complete CODE process from data Collection, knowledge Organization, information Distillation to intelligent Expression, validated in multiple large enterprise projects. Students will learn industry-proven technical architecture, not just theoretical or experimental frameworks.

Bee Alpha projects serve as important portfolio pieces, especially demonstrating practical abilities in AI and software development. Projects based on 2Brain architecture significantly help applications for Computer Science, Data Science, AI and related majors. We also provide project certificates and mentor recommendation letters, adding extra value to applications.

Classes are scheduled on weekends, only 2 half-days per week, not affecting regular school courses. We offer multiple timezone options for students from different regions. Our 15 global mentors cover New Zealand, UK, US, Canada, China timezones, ensuring students can find suitable class times.

We have 15 experienced global mentors providing 24-hour 1-on-1 Q&A and weekly group sessions. Weekly intern reviews monitor student progress closely. Our mentor team has rich enterprise AI project experience, providing the most practical guidance.

We conduct weekly intern reviews. The internship supervisor analyzes cases where students cannot submit work on time. Only one situation, if it occurs 3 times, leads to dismissal with proportional refund: "I can't do it or I'm busy (regardless of reason), can't meet deadlines, and never communicate with mentors or supervisors about it." We do not guarantee refunds for mid-program withdrawals for other reasons.

Students will gain: 1) Complete AI project portfolio and deployment experience; 2) Internship certificate from a global AI startup; 3) Mentor recommendation letters; 4) Practical AI application development skills; 5) Comprehensive understanding of LLMs and AI applications; 6) Ability to read top papers and apply them in practice; 7) Outstanding projects may receive BEEBEE early investment. Most importantly, students will own their own AI product.