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 Duration 21 hours

Course Outline

Foundations of X402 and Decentralized AI

  • Introduction to the Coinbase X402 protocol
  • Context: Establishing secure AI agents with on-chain identity
  • Core architecture and essential components

Preparing the Development Workspace

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

Diving Deep into the X402 Protocol

  • Fundamentals of agent-wallet interactions
  • Techniques for data signing, verification, and privacy
  • Patterns for secure communication and authorization

Embedding AI Models into X402 Applications

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

Building Smart Contracts for AI Engagement

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

Ensuring Security, Compliance, and Data Sovereignty

  • Navigating regulatory landscapes for AI and cryptocurrency
  • Safeguarding data ownership and preserving privacy in computation
  • Conducting audits and securing agent interactions

Advanced Architectures and Enterprise-Grade Integration

  • Merging X402 with corporate identity frameworks
  • Architecting scalable, multi-agent infrastructures
  • Case studies: Automation, analytics, and AI-driven payments

Deployment and Operational Management

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

Conclusion and Future Directions

Requirements

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

Intended Audience

  • Software engineers creating blockchain applications with AI integration
  • Enterprise architects investigating decentralized AI frameworks
  • Engineering leads constructing secure, compliant AI agents utilizing on-chain infrastructure

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