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 Duration 21 hours (3 days)

Course Outline

Introduction to X402 and Decentralized AI

  • Overview of the Coinbase X402 protocol
  • Motivation: Securing AI agents with on-chain identity
  • Architecture and core components

Configuring the Development Environment

  • Installing the X402 SDK and required dependencies
  • Setting up wallets and identity layers
  • Integrating Node.js and Python for cross-language workflows

Deep Dive into the X402 Protocol

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

Integrating AI Models into X402 Applications

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

Implementing Smart Contracts for AI Interactions

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

Security, Compliance, and Data Sovereignty

  • Regulatory considerations for AI and cryptocurrency
  • 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 environments
  • Monitoring and maintaining X402-based systems
  • Optimizing performance and cost efficiency

Summary and Next Steps

Requirements

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

Target Audience

  • Software engineers developing AI-integrated blockchain applications
  • Enterprise architects exploring decentralized AI architectures
  • Engineering leads building secure, compliant AI agents using on-chain systems

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