Advancing the Science of AI Evaluation, Safety, and Governance. A hybrid, international programme combining online learning with an in-person capstone week in Valencia (Spain). Explore the full programme & apply on the official website!
About the Programme
The AI Evaluation Programme is a pioneering academic initiative focused on developing rigorous methods to evaluate advanced AI systems.
Why this Programme?
Artificial intelligence is advancing at unprecedented speed. Yet, as frontier AI systems grow more powerful, our ability to evaluate their capabilities and risks has not kept pace.
Programme Format
150 hours:
90 hours of online work (lectures + networking + activities). 20 hours of hands-on courses. 40 hours in-person capstone week in Valencia, Spain.
Hybrid Format:
Online sessions (lectures, labs, mentoring, networking).
In-person capstone week in Valencia.
Highly selective admission:
40 top global participants with fully funded scholarships. Credentials: 15 ECTS Expert Diploma by ValgrAI.
Our Mission
Our mission is simple yet urgent: to train the people who will determine whether AI is safe and beneficial. We are creating a new academic discipline and preparing the next generation of specialists with the technical and policy expertise needed to test, monitor, and guide the safe development of AI.
Meet the Team
Our Vision
We believe AI evaluation should become a cornerstone of how AI is built and used worldwide; a universal discipline taught in every top university, embedded in every lab and regulatory body, and serving as a safeguard so that advanced AI truly benefits humanity.
Meet the Faculty
Sponsored by the Valencian Graduate School and Research Network of Artificial Intelligence (ValgrAI), funded by Coefficient Giving (fka Open Philanthropy), and backed administratively by the Berkeley Existential Risk Initiative (BERI).
Shape the future of AI evaluation.
Get the full picture. Build the missing expertise.
This programme gives you the panorama; the tools, frameworks, and perspectives to connect the dots between machine learning, evaluation, and governance.
Join the next cohort.
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