Note: Adapted from the official Phala.com X announcement; check it HERE: https://x.com/phalanetwork/status/2051365284183671144
Phala.com is partnering with AI x Web3 School, a global developer program run by LXDAO and ETHPanda, to bring privacy-preserving compute into the hands of builders working at the crossover of AI and Web3. The program is structured around a Bootcamp and Hackathon, and the goal is simple: help developers go from understanding concepts to actually shipping projects. Courses are free and open right now, so if you have been sitting on an idea at this intersection, the barrier to getting started just got lower.
The collaboration centers on giving participants real exposure to infrastructure that runs in TEE-secured cloud environments, private by default. That means the code and data being processed stay protected during execution, not just in storage. For developers building AI agents that interact with onchain applications, this distinction matters a lot. Phala technical experts will be present during the Hackathon itself, walking through deployment step by step rather than just presenting slides, so participants leave with skills they can actually reuse.
Why Trusted Compute Is Becoming a Foundation Layer
As AI agents become more capable and start handling real tasks, the question of where they run and whether their outputs can be trusted becomes unavoidable. Running an agent in a standard cloud environment gives you no way to verify that the execution happened as intended or that sensitive data was not exposed along the way.
TEEs solve this by creating a hardware-level isolated space where computation happens privately and the results can be verified. Phala has been building this infrastructure specifically for decentralized AI use cases, and this partnership brings that work directly into a learning environment designed around practical building.
What Participants Will Actually Work On
The curriculum covers how TEEs provide isolation and verifiability for AI computation, how to think about model execution and data privacy when agents need to interact with onchain systems, and how to structure Hackathon projects around these building blocks.
High quality projects and case studies from the program will be documented in an open-source Handbook, turning individual builds into reusable references for the wider developer community. The program also connects participants across both the Phala and AI x Web3 School ecosystems, which matters when you are building in a space where community and infrastructure access go hand in hand.
Getting Started
The current phase of AI x Web3 School is free and open to developers. Whether you are new to this space or already building and looking to understand the infrastructure layer better, the program is designed to meet you where you are. Pre-registration is open now at https://web3career.build/en/programs/AI-Web3-School and you can follow aiweb3school for updates on course releases and Hackathon details.
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