OPC + Agent AI Native Startup Workshop

Project-Based Learning Model

Each bootcamp starts with real business scenarios and assembles small teams around a deliverable project goal. Enterprise partners propose real problems; students from mixed disciplines form teams; under the guidance of lead instructors, industry mentors, and teaching assistants, they use Agent workflows to complete requirement interviews, solution design, MVP development, and Demo Day presentations.

Mentor Team

The OPC mentor system combines university faculty and industry mentors. The Shenzhen University PLAN Lab faculty team is responsible for curriculum framework, methodology, and academic guidance; we also invite frontline engineers, entrepreneurs, and investors to serve as hands-on mentors, so students receive feedback in real business scenarios. Coverage spans LLM Agents, blockchain, wireless communications, social network data mining, and IoT.

Bootcamp Mechanism

OPC is neither a typical training course nor an incubator that waits for projects to mature. We start with real problems, cross-disciplinary teams, and Agent workflows, advancing through biweekly mentor reviews so that training, filtering, and incubation happen along the same project path.

Training

Training Approach

Project-based training at the core, with mentor reviews and progress checks every two weeks, advancing around Agent toolchains, real-scenario requirements, team collaboration, and Demo delivery.

Selection

Selection Approach

We collect candidates through the interest community and application form, then filter for direction interest, execution motivation, academic background, and team fit to form small project-based teams.

Cohort 3 Demo Day Recap

Cohort 3 centered on the FDE concept: Field Deployment Engineer for AI, a role that turns real business scenarios into deliverable AI workflows through requirement interviews, process decomposition, Agent / RAG / automation design, Demo / MVP delivery, and commercialization validation. This cohort produced 9 AI-native projects spanning cross-border e-commerce, self-media marketing, supply chain, industrial operations, algorithm optimization, enterprise knowledge management, ad optimization, smart office, and model deployment.

Cohort 2 Demo Day Recap

Cohort 2 produced 6 AI-native projects, spanning financial investment, education and research, mental health, AIGC tools, industry Agents, and entertainment consumption. Below are the project showcases and open-source links.

Cohort 1 Applicant Profile

Extracted from 118 applications, showing grade, college, and major background distributions to help universities, enterprises, and investors understand the OPC talent pool.

Partnership

Whether you are an enterprise, university, or investor, you can connect with OPC through the following entry points.

Enterprise problem statements · Training co-design · Media promotion · Student management · Investment incubation — covering the full chain from enterprise challenges to course co-design, media promotion, student management, and investment incubation.