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 Duration 21 hours (3 days)

Course Outline

Introduction to X402 and Decentralized AI

  • Overview of the Coinbase X402 protocol
  • Drivers for secure AI agents with on-chain identity
  • Architectural overview and core components

Configuring the Development Environment

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

Comprehending the X402 Protocol

  • Fundamental principles of agent-wallet interactions
  • Data signing, verification processes, and privacy standards
  • Patterns for secure communication and authorization

Embedding AI Models within X402 Applications

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

Building Smart Contracts for AI Interaction

  • Specification of agent permissions using Solidity
  • Processing LLM-driven blockchain transactions
  • Testing and debugging decentralized AI behaviors

Security, Compliance, and Data Sovereignty

  • Regulatory implications for AI and cryptocurrency
  • Data ownership rights and privacy-preserving computation
  • Auditing and safeguarding agent interactions

Advanced Architectures and Enterprise Integration

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

Deployment and Operations

  • Execution of decentralized AI agents in production environments
  • Monitoring and maintenance of X402-based systems
  • Optimization of performance and cost efficiency

Summary and Future Directions

Requirements

  • Familiarity with blockchain fundamentals
  • Practical experience in API integration and smart contract development
  • Foundational knowledge of large language models and prompt engineering

Target Audience

  • Software engineers creating blockchain applications with AI integration
  • Enterprise architects investigating decentralized AI frameworks
  • Engineering leaders developing secure, compliant AI agents utilizing on-chain systems

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