Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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
Testimonials (1)
- like the blockchain introduction. For a blockchain newbie like me, its englighten me. - Like the technical workshop, also interesting