Bootcamp | AI-powered automated trading with CRE and Confidential Workflows

​Build AI-powered workflows that can reason over sensitive data, enforce policies, and execute actions—without exposing the information that should remain private.

​In this hands-on bootcamp, you’ll use Chainlink Runtime Environment (CRE) with Confidential Workflows to build real-world workflows for:

• ​Automated Portfolio Rebalancing

• ​AI Smart Contract Audit Firewalls

​You’ll learn how to securely combine external APIs, market and contract data, AI reasoning, confidential policies, and onchain execution inside a single CRE workflow.

​Unlike traditional offchain automation, where users have to trust opaque infrastructure, these workflows are designed to make automated behavior more verifiable while keeping sensitive operational data confidential.

​What you’ll learn

​By the end of the bootcamp, you’ll know how to:

• ​Build an end-to-end CRE workflow

• ​Work with confidential inputs and external APIs

• ​Integrate AI/LLM reasoning into CRE workflows

• ​Pass sensitive outputs securely between workflow steps

• ​Encode portfolio, security, and execution policies

• ​Combine offchain computation with onchain actions

• ​Design workflows that fail safely when policies or risk checks are violated

• ​Build within current CRE service quota limitations

​If you’re interested in the intersection of AI agents, DeFi automation, smart contract security, and confidential computing, this bootcamp is designed to take you from the use case to a working CRE implementation.