Building AI-Powered Decentralized Applications with Coinbase X402 Training Course

Introduction to X402 and Decentralized AI

• Overview of Coinbase’s X402 protocol
• Motivation: secure AI agents with on-chain identity
• Architecture and key components

Setting Up the Development Environment

• Installing X402 SDK and dependencies
• Configuring wallets and identity layers
• Integrating Node.js and Python for cross-language workflows

Understanding the X402 Protocol

• Core principles of agent-wallet interactions
• Data signing, verification, and privacy
• Secure communication and authorization patterns

Integrating AI Models into X402 Applications

• Connecting OpenAI, DeepSeek, Qwen, and Mistral Small
• Managing model inference and token usage
• Creating autonomous, wallet-aware AI agents

Implementing Smart Contracts for AI Interaction

• Defining agent permissions in Solidity
• Handling LLM-driven blockchain transactions
• Testing and debugging decentralized AI behavior

Security, Compliance, and Data Sovereignty

• Regulatory considerations for AI and crypto
• Data ownership and privacy-preserving computation
• Auditing and securing agent interactions

Advanced Architectures and Enterprise Integration

• Integrating X402 with corporate identity systems
• Designing scalable, multi-agent infrastructures
• Case studies: AI-driven payments, analytics, and automation

Deployment and Operations

• Running decentralized AI agents in production
• Monitoring and maintaining X402-based systems
• Optimizing performance and cost

Summary and Next Steps