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 Duration 21 hours

Course Outline

Foundations of X402 and Decentralized AI

  • High-level overview of Coinbase’s X402 protocol
  • Rationale for secure AI agents featuring on-chain identity
  • Architectural components and structural design

Establishing the Development Environment

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

Exploring the X402 Protocol

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

Embedding AI Models within X402 Applications

  • Connection strategies for OpenAI, DeepSeek, Qwen, and Mistral Small
  • Management of model inference and token consumption
  • Construction of autonomous, wallet-aware AI agents

Building Smart Contracts for AI Interaction

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

Security, Compliance, and Data Sovereignty

  • Regulatory implications for AI and cryptocurrency
  • Data ownership and privacy-preserving computational methods
  • Auditing and hardening agent interactions

Advanced Architectures and Enterprise Integration

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

Deployment and Operational Management

  • Executing decentralized AI agents in production settings
  • Monitoring and sustaining X402-based systems
  • Optimization of performance and cost efficiency

Requirements

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

Intended 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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