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 Duration 21 hours

Course Outline

Foundations of X402 and Decentralized AI

  • Introduction to Coinbase's X402 protocol
  • The need for secure AI agents with on-chain identity
  • Overview of architecture and essential components

Preparing the Development Environment

  • Installing the X402 SDK and necessary dependencies
  • Setting up wallet and identity layers
  • Incorporating Node.js and Python for cross-language workflows

Exploring the X402 Protocol

  • Core mechanics of agent-wallet interactions
  • Processes for data signing, verification, and privacy protection
  • Establishing secure communication and authorization frameworks

Embedding AI Models in X402 Applications

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

Creating Smart Contracts for AI Interaction

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

Security, Regulatory Compliance, and Data Sovereignty

  • Regulatory implications for AI and cryptocurrency sectors
  • Ensuring data ownership and privacy-preserving computations
  • Auditing and securing agent-to-agent interactions

Advanced Architectures and Enterprise Adoption

  • Linking X402 with corporate identity management systems
  • Engineering scalable, multi-agent infrastructure
  • Case studies focusing on AI-led payments, analytics, and automation

Deployment and Operational Management

  • Executing decentralized AI agents in production environments
  • Monitoring and sustaining X402-based systems
  • Optimizing system performance and operational costs

Wrap-up and Future Directions

Requirements

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

Target Audience

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

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