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 Duration 21 hours

Course Outline

Introduction to X402 and Decentralized AI

  • Overview of the Coinbase X402 protocol
  • The drive for secure AI agents with on-chain identity
  • Architectural overview and essential components

Preparing the Development Environment

  • Installation of the X402 SDK and required dependencies
  • Configuration of wallets and identity layers
  • Integrating Node.js and Python for multi-language workflows

Delving into the X402 Protocol

  • Fundamental principles of agent-wallet interactions
  • Data signing, verification processes, and privacy protocols
  • Patterns for secure communication and authorization

Incorporating AI Models into X402 Applications

  • Connecting models such as OpenAI, DeepSeek, Qwen, and Mistral Small
  • Managing model inference 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
  • Ensuring data ownership and privacy-preserving computation
  • Auditing and securing agent interactions

Advanced Architectures and Enterprise Integration

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

Deployment and Operations

  • Operating decentralized AI agents in production environments
  • Monitoring and maintaining X402-based systems
  • Optimizing performance and operational costs

Conclusion and Future Steps

Requirements

  • A solid grasp of blockchain fundamentals
  • Practical experience with API integration and smart contract development
  • Foundational knowledge of Large Language Models (LLMs) and prompt engineering

Target Audience

  • Software engineers developing blockchain applications with integrated AI capabilities
  • Enterprise architects investigating decentralized AI architectures
  • Engineering leads focused on building secure, compliant AI agents using on-chain systems

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3900 € + VAT*

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