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 Duration 21 hours

Course Outline

Fundamentals of X402 and Decentralized AI

  • Overview of the Coinbase X402 protocol
  • Drivers for adopting secure AI agents with on-chain identity
  • System architecture and essential components

Preparation of the Development Environment

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

Deep Dive into the X402 Protocol

  • Key principles governing agent-wallet interactions
  • Data signing, verification, and privacy mechanisms
  • Patterns for secure communication and authorization

Embedding AI Models within X402 Applications

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

Smart Contract Implementation for AI Interaction

  • Specifying agent permissions in Solidity
  • Processing LLM-driven blockchain transactions
  • Testing and troubleshooting decentralized AI behavior

Security, Compliance, and Data Sovereignty

  • Regulatory frameworks affecting AI and crypto assets
  • Data ownership and privacy-preserving computation methods
  • Auditing and safeguarding agent interactions

Advanced Architectures and Enterprise-Level Integration

  • Connecting X402 with corporate identity systems
  • Designing scalable, multi-agent infrastructures
  • Case studies covering AI-driven payments, analytics, and automation

Deployment and Operational Management

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

Requirements

  • Familiarity with core blockchain concepts
  • Hands-on experience with API integration and smart contract development
  • Fundamental understanding of large language models and prompt engineering

Target Audience

  • Software engineers creating AI-integrated blockchain applications
  • Enterprise architects investigating decentralized AI frameworks
  • Engineering leads constructing secure, compliant AI agents leveraging on-chain systems

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