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 Duration 21 hours (3 days)

Course Outline

Foundations of X402 and Decentralized AI

  • Brief on Coinbase’s X402 protocol
  • Driving forces: secure AI agents with on-chain identity
  • System architecture and essential components

Configuring the Development Environment

  • Installation of X402 SDK and necessary dependencies
  • Setup of wallets and identity layers
  • Cross-language workflow integration using Node.js and Python

Decoding the X402 Protocol

  • Fundamental principles of agent-wallet interaction
  • Data signing, verification, and privacy protocols
  • Secure communication and authorization strategies

Embedding AI Models in X402 Applications

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

Developing Smart Contracts for AI Interaction

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

Security, Regulatory Compliance, and Data Sovereignty

  • Regulatory implications for AI and cryptocurrency
  • Data ownership and privacy-focused computation
  • Auditing and securing agent interactions

Advanced Architectures and Enterprise-Grade Integration

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

Deployment and Operational Management

  • Executing decentralized AI agents in production environments
  • Monitoring and upkeep of X402-based systems
  • Optimizing system performance and cost efficiency

Recap and Future Directions

Requirements

  • Familiarity with core blockchain concepts
  • Proficiency in API integration and smart contract development
  • Foundational knowledge of large language models and prompt engineering

Target Audience

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

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