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Course Outline

Introduction to X402 and Decentralized AI

  • Overview of the Coinbase X402 protocol
  • Why on-chain identity is essential for secure AI agents
  • Key architectural components

Setting Up the Development Environment

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

Deep Dive into the X402 Protocol

  • Fundamental principles of agent-wallet interactions
  • Mechanisms for data signing, verification, and privacy
  • Establishing secure communication and authorization frameworks

Integrating AI Models into X402 Applications

  • Connecting to OpenAI, DeepSeek, Qwen, and Mistral Small
  • Optimizing model inference and token management
  • Building autonomous AI agents with wallet awareness

Developing Smart Contracts for AI Interaction

  • Defining agent permissions using Solidity
  • Processing blockchain transactions driven by LLMs
  • Testing and debugging the behavior of decentralized AI

Security, Compliance, and Data Sovereignty

  • Navigating regulatory landscapes for AI and crypto
  • Ensuring data ownership and privacy-preserving computation
  • Auditing and hardening agent interactions

Advanced Architectures and Enterprise Integration

  • Linking X402 with corporate identity infrastructure
  • Designing scalable multi-agent infrastructures
  • Case studies focusing on AI-driven payments, analytics, and automation

Deployment and Operations

  • Managing decentralized AI agents in production environments
  • Monitoring and maintaining X402-based systems
  • Optimizing for performance and cost efficiency

Summary and Next Steps

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 building AI-integrated blockchain applications
  • Enterprise architects investigating decentralized AI frameworks
  • Engineering leads responsible for secure, compliant AI agents in on-chain systems
 21 Hours

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