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 Duration 21 hours

Course Outline

Introduction to X402 and Decentralized AI

  • An overview of the Coinbase X402 protocol
  • Rationale: Establishing secure AI agents with on-chain identity
  • System architecture and core components

Preparing the Development Environment

  • Installation of the X402 SDK and required dependencies
  • Configuration of wallets and identity layers
  • Integration of Node.js and Python for cross-language workflows

Exploring the X402 Protocol

  • Fundamental principles of agent-wallet interactions
  • Data signing, verification, and privacy protocols
  • Patterns for secure communication and authorization

Integrating AI Models into X402 Applications

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

Implementing Smart Contracts for AI Interactions

  • Defining agent permissions using Solidity
  • Managing blockchain transactions driven by LLMs
  • Testing and debugging the behavior of decentralized AI

Security, Compliance, and Data Sovereignty

  • Regulatory factors influencing AI and crypto sectors
  • Data ownership and privacy-preserving computation methods
  • Auditing and fortifying agent interactions

Advanced Architectures and Enterprise Integration

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

Deployment and Operations

  • Operationalizing decentralized AI agents in production environments
  • Monitoring and sustaining X402-based systems
  • Enhancing performance and cost efficiency

Wrap-up and Future Directions

Requirements

  • A solid grasp of blockchain fundamentals
  • Practical experience with API integration and smart contract creation
  • Familiarity with large language models and prompt engineering concepts

Target Audience

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

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