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 Duration 21 hours

Course Outline

Introduction to X402 and Decentralized AI

  • Foundational overview of the Coinbase X402 protocol
  • Driving factors for secure AI agents with on-chain identity
  • System architecture and core components

Preparing the Development Environment

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

Deep Dive into the X402 Protocol

  • Fundamental principles of agent-wallet interaction
  • Mechanisms for data signing, verification, and privacy
  • Patterns for secure communication and authorization

Embedding AI Models in X402 Applications

  • Connecting models such as OpenAI, DeepSeek, Qwen, and Mistral Small
  • Managing model inference and token consumption
  • Building autonomous, wallet-aware AI agents

Smart Contracts for AI Interaction

  • Defining agent permissions using Solidity
  • Processing LLM-driven blockchain transactions
  • Testing and troubleshooting decentralized AI behaviors

Security, Compliance, and Data Sovereignty

  • Regulatory aspects regarding AI and cryptocurrency
  • Data ownership and privacy-preserving computational methods
  • Auditing and safeguarding agent interactions

Advanced Architectures and Enterprise Integration

  • Merging X402 with corporate identity systems
  • Designing scalable, multi-agent infrastructure
  • Case studies: AI-driven payments, analytics, and automation

Deployment and Operations

  • Operationalizing decentralized AI agents in production environments
  • Monitoring and sustaining X402-based systems
  • Performance tuning and cost optimization

Requirements

  • A solid grasp of blockchain fundamentals
  • Proficiency in API integration and smart contract development
  • Familiarity with large language models and prompt engineering techniques

Target Audience

  • Software engineers creating AI-integrated blockchain solutions
  • Enterprise architects evaluating decentralized AI frameworks
  • Engineering leaders constructing secure, compliant AI agents on on-chain systems

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