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Duration 21 hours
Course Outline
Introduction to X402 and Decentralized AI
- Overview of Coinbase’s X402 protocol
- Motivation: ensuring security for AI agents through on-chain identity
- System architecture and core components
Configuring the Development Environment
- Installation of the X402 SDK and required dependencies
- Setup of wallets and identity layers
- Integration of Node.js and Python to enable cross-language workflows
Comprehending the X402 Protocol
- Core principles governing agent-wallet interactions
- Processes for data signing, verification, and privacy
- Patterns for secure communication and authorization
Incorporating AI Models into X402 Applications
- Connecting with OpenAI, DeepSeek, Qwen, and Mistral Small
- Oversight of model inference and token consumption
- Construction of autonomous, wallet-aware AI agents
Deploying Smart Contracts for AI Interaction
- Establishment of agent permissions using Solidity
- Management of blockchain transactions driven by LLMs
- Testing and debugging decentralized AI behaviors
Security, Compliance, and Data Sovereignty
- Regulatory implications for AI and crypto assets
- Data ownership and methods for privacy-preserving computation
- Auditing and securing agent interactions
Advanced Architectures and Enterprise Integration
- Alignment of X402 with corporate identity systems
- Design of scalable, multi-agent infrastructures
- Case studies: AI-driven payments, analytics, and automation
Deployment and Operations
- Execution of decentralized AI agents in production environments
- Monitoring and maintenance of X402-based systems
- Optimization of performance and cost efficiency
Summary and Next Steps
Requirements
- Familiarity with the fundamentals of blockchain technology
- Practical experience in API integration and smart contract development
- Foundational knowledge of large language models and prompt engineering
Target Audience
- Software engineers creating AI-integrated blockchain applications
- Enterprise architects investigating decentralized AI architectures
- Engineering leads constructing secure, compliant AI agents leveraging on-chain systems
Testimonials (1)
- like the blockchain introduction. For a blockchain newbie like me, its englighten me. - Like the technical workshop, also interesting
