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 Duration 21 hours (3 days)

Course Outline

Foundations of X402 and Decentralized AI

  • Introduction to Coinbase’s X402 protocol
  • Rationale for secure AI agents with on-chain identity
  • System architecture and essential components

Preparing the Development Environment

  • Installation of the X402 SDK and required dependencies
  • Setup of wallet and identity layers
  • Integration of Node.js and Python to support cross-language workflows

In-Depth Look at the X402 Protocol

  • Key principles governing agent-wallet interactions
  • Processes for data signing, validation, and privacy
  • Patterns for secure communication and authorization

Incorporating AI Models into X402 Solutions

  • Connection of OpenAI, DeepSeek, Qwen, and Mistral Small models
  • Oversight of model inference and token consumption
  • Development of autonomous, wallet-aware AI agents

Developing Smart Contracts for AI Engagement

  • Specification of agent permissions using Solidity
  • Management of blockchain transactions driven by LLMs
  • Testing and troubleshooting decentralized AI operations

Security, Compliance, and Data Sovereignty

  • Regulatory frameworks affecting AI and cryptocurrency
  • Data ownership and privacy-preserving computational methods
  • Audit strategies and securing agent interactions

Advanced Architectures and Enterprise-Level Integration

  • Alignment of X402 with corporate identity systems
  • Design of scalable, multi-agent infrastructure
  • Case studies covering AI-driven payments, analytics, and automation

Deployment and Operational Management

  • Execution of decentralized AI agents in production environments
  • Monitoring and upkeep of X402-based systems
  • Performance optimization and cost efficiency

Conclusion and Future Directions

Requirements

  • A solid grasp of blockchain core concepts
  • Practical experience in API integration and smart contract development
  • Fundamental understanding of large language models and prompt engineering techniques

Intended Participants

  • Software engineers focused on AI-integrated blockchain solutions
  • Enterprise architects evaluating decentralized AI frameworks
  • Engineering leaders tasked with building secure, compliant AI agents using on-chain infrastructure

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