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Course Outline
Introduction to X402 and Decentralized AI
- Overview of Coinbase’s X402 protocol.
- Motivation: building secure AI agents with on-chain identity.
- Architecture and key components.
Setting Up the Development Environment
- Installing the X402 SDK and dependencies.
- Configuring wallets and identity layers.
- Integrating Node.js and Python for cross-language workflows.
Understanding the X402 Protocol
- Core principles of agent-wallet interactions.
- Data signing, verification, and privacy.
- Secure communication and authorization patterns.
Integrating AI Models into X402 Applications
- Connecting OpenAI, DeepSeek, Qwen, and Mistral Small.
- Managing model inference and token usage.
- Creating autonomous, wallet-aware AI agents.
Implementing Smart Contracts for AI Interaction
- Defining agent permissions in Solidity.
- Handling LLM-driven blockchain transactions.
- Testing and debugging decentralized AI behavior.
Security, Compliance, and Data Sovereignty
- Regulatory considerations for AI and crypto.
- 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.
- Monitoring and maintaining X402-based systems.
- Optimizing performance and cost.
Summary and Next Steps
Requirements
- Foundational understanding of blockchain concepts.
- Practical experience with API integration and smart contract development.
- Basic familiarity with large language models and prompt engineering.
Audience
- Software engineers developing AI-integrated blockchain applications.
- Enterprise architects exploring decentralized AI architectures.
- Engineering leads building secure, compliant AI agents using on-chain systems.
21 Hours
Testimonials (1)
- like the blockchain introduction. For a blockchain newbie like me, its englighten me. - Like the technical workshop, also interesting
