Get in Touch

Course Outline

Introduction to X402 and Decentralized AI

  • Overview of Coinbase’s X402 protocol
  • Motivation: establishing secure AI agents with on-chain identity
  • System architecture and key components

Setting Up the Development Environment

  • Installing the X402 SDK and required dependencies
  • Configuring wallets and identity layers
  • Integrating Node.js and Python for cross-language workflows

Understanding the X402 Protocol

  • Core principles governing agent-wallet interactions
  • Data signing, verification, and privacy mechanisms
  • Secure communication and authorization patterns

Integrating AI Models into X402 Applications

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

Implementing Smart Contracts for AI Interaction

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

Security, Compliance, and Data Sovereignty

  • Regulatory considerations for AI and cryptocurrency
  • Data ownership and privacy-preserving computation
  • Auditing and securing agent interactions

Advanced Architectures and Enterprise Integration

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

Deployment and Operations

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

Summary and Next Steps

Requirements

  • A foundational understanding of blockchain principles
  • Practical experience with API integration and smart contract development
  • Basic knowledge of large language models and prompt engineering techniques

Target Audience

  • Software engineers working on AI-integrated blockchain applications
  • Enterprise architects investigating decentralized AI architectures
  • Engineering leads responsible for building secure, compliant AI agents using on-chain systems
 21 Hours

Number of participants


Price per participant

Testimonials (1)

Upcoming Courses

Related Categories