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 Duration 21 hours

Course Outline

Introduction to X402 and Decentralized AI

  • High-level overview of the Coinbase X402 protocol
  • Key drivers: 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 wallet and identity layers
  • Integration of Node.js and Python for cross-language workflows

Deep Dive into the X402 Protocol

  • Fundamental principles of agent-wallet interactions
  • Processes for data signing, verification, and privacy maintenance
  • Patterns for secure communication and authorization

Embedding AI Models into X402 Applications

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

Developing Smart Contracts for AI Interaction

  • Specification of agent permissions in Solidity
  • Execution of LLM-driven blockchain transactions
  • Testing and debugging decentralized AI behaviors

Security, Compliance, and Data Sovereignty

  • Regulatory frameworks affecting AI and cryptocurrency
  • Data ownership rights and privacy-preserving computational methods
  • Auditing protocols and securing agent interactions

Advanced Architectures and Enterprise Integration

  • Connecting X402 with corporate identity infrastructure
  • Design of scalable, multi-agent ecosystems
  • Case studies: AI-enhanced payments, analytics, and automation

Deployment and Operational Management

  • Execution of decentralized AI agents in production environments
  • Monitoring and upkeep of X402-based systems
  • Optimization of performance metrics and cost efficiency

Requirements

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

Target Audience

  • Software engineers creating AI-integrated blockchain solutions
  • Enterprise architects investigating decentralized AI frameworks
  • Engineering leaders developing secure, compliant AI agents using on-chain technologies

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