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 Duration 21 hours

Course Outline

Introduction to X402 and Decentralized AI

  • High-level overview of the Coinbase X402 protocol
  • Rationale for implementing secure AI agents with on-chain identity
  • System architecture and core components

Preparing the Development Environment

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

In-Depth Look at the X402 Protocol

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

Incorporating AI Models into X402 Applications

  • Connecting models from OpenAI, DeepSeek, Qwen, and Mistral Small
  • Overseeing model inference processes and token consumption
  • Building autonomous, wallet-aware AI agents

Implementing Smart Contracts for AI Interaction

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

Security, Compliance, and Data Sovereignty

  • Regulatory factors affecting AI and cryptocurrency
  • Data ownership and privacy-preserving computational methods
  • Auditing and securing agent-based interactions

Advanced Architectures and Enterprise Integration

  • Connecting X402 with corporate identity systems
  • Designing scalable, multi-agent infrastructures
  • Case studies covering AI-driven payments, analytics, and automation

Deployment and Operations

  • Operating decentralized AI agents in production environments
  • Monitoring and maintaining X402-based systems
  • Optimizing system performance and cost efficiency

Requirements

  • Familiarity with the fundamentals of blockchain technology
  • Practical experience in API integration and smart contract development
  • Basic proficiency in large language models and prompt engineering

Target Audience

  • Software engineers creating AI-integrated blockchain solutions
  • Enterprise architects investigating decentralized AI frameworks
  • Engineering leads tasked with building secure, compliant AI agents using on-chain systems

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