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 Duration 21 hours

Course Outline

Introduction to X402 and Decentralized AI

  • High-level view of Coinbase’s X402 protocol
  • Why secure AI agents with on-chain identity matter
  • System architecture and essential components

Preparing Your Development Environment

  • Setting up the X402 SDK and required dependencies
  • Configuring wallet and identity layers
  • Linking Node.js and Python for cross-platform workflows

Grasping the X402 Protocol

  • Fundamental principles of agent-to-wallet interactions
  • Data signing, validation, and privacy mechanisms
  • Patterns for secure communication and authorisation

Embedding AI Models in X402 Applications

  • Connecting with OpenAI, DeepSeek, Qwen, and Mistral Small
  • Overseeing model inference and token consumption
  • Building autonomous, wallet-enabled AI agents

Creating Smart Contracts for AI Interaction

  • Specifying agent permissions using Solidity
  • Processing blockchain transactions driven by LLMs
  • Testing and troubleshooting decentralized AI behaviour

Security, Compliance, and Data Sovereignty

  • Regulatory implications for AI and cryptocurrency
  • Data ownership and privacy-centric computing
  • Auditing and securing agent interactions

Advanced Architectures and Enterprise Integration

  • Aligning X402 with corporate identity platforms
  • Designing resilient, multi-agent infrastructures
  • Case studies: AI-led payments, analytics, and automation

Deployment and Operations

  • Managing decentralized AI agents in production environments
  • Monitoring and maintaining X402-based systems
  • Optimising performance and operational costs

Conclusion and Future Steps

Requirements

  • A solid grasp of blockchain fundamentals
  • Proficiency in API integration and smart contract development
  • Familiarity with Large Language Models and prompt engineering

Target Audience

  • Software engineers creating AI-integrated blockchain solutions
  • Enterprise architects investigating decentralized AI frameworks
  • Engineering leads responsible for building secure, compliant AI agents within on-chain systems

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