CODE University's curriculum emphasizes fundamental understanding and critical judgment to prepare students for a market where AI tools are prevalent.
Instead of traditional exams, students are assessed on their ability to build and reason about complex, long-term group projects, demonstrating both technical and soft skills.
The challenge with AI-generated code is understanding the prompts and design decisions that led to it, a problem that new tools are beginning to address.
The university encourages students to found startups while studying, combining academic learning with practical entrepreneurial experience and project management.
The university navigates the rising cost of AI tools while fostering a diverse student body by focusing on admitting intrinsically motivated, self-driven learners.
To counter tech hype, students are encouraged to reflect on their work and are given the freedom to pursue meaningful projects focused on social and ecological sustainability.
Many modern security vulnerabilities arise from ignoring long-established best practices, highlighting the need to teach fundamental and effective security mitigations.
As social engineering attacks like deepfakes become more sophisticated, fostering real-world human connections and direct user research is essential for building responsible technology.
True learning requires experiencing and overcoming challenges, so junior developers must build things themselves rather than relying solely on AI to develop deep skills.
AI tools have dramatically accelerated the creation of prototypes for fast iteration, but the transition to a secure, operational product still requires deep engineering expertise.
By offering a fully English-language curriculum, CODE University overcomes a major barrier in the German education system to attract international students and build a diverse community.
Jobs that call for the skills explored in this talk.