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.
Duration 21 hours (3 days)
Course Outline
Introduction to X402 and the Decentralized AI Landscape
- Foundational overview of the Coinbase X402 protocol
- Core motivation: securing AI agents through on-chain identity
- System architecture and essential components
Configuring the Development Workspace
- Installation of the X402 SDK and necessary dependencies
- Setup of wallet configurations and identity layers
- Integration of Node.js and Python to enable cross-language workflows
In-Depth Analysis of the X402 Protocol
- Core principles governing agent-wallet interactions
- Mechanisms for data signing, verification, and privacy preservation
- Secure communication protocols and authorization patterns
Incorporating AI Models into X402 Applications
- Connecting frameworks such as OpenAI, DeepSeek, Qwen, and Mistral Small
- Oversight of model inference and token utilization
- Development of autonomous, wallet-aware AI agents
Deploying Smart Contracts for AI Interactions
- Specification of agent permissions using Solidity
- Management of LLM-initiated blockchain transactions
- Testing and debugging techniques for decentralized AI behavior
Security, Regulatory Compliance, and Data Sovereignty
- Regulatory implications for AI and cryptocurrency sectors
- Management of data ownership and privacy-preserving computations
- Auditing strategies and security hardening for agent interactions
Advanced Architectures and Enterprise-Level Integration
- Integration of X402 with corporate identity management systems
- Design of scalable, multi-agent infrastructure
- Real-world case studies: AI-driven payments, analytics, and automation
Production Deployment and Operational Management
- Execution of decentralized AI agents in live production environments
- Monitoring and maintenance strategies for X402-based systems
- Optimization of system performance and operational costs
Conclusion and Future Trajectories
Requirements
- A solid grasp of blockchain fundamentals
- Practical experience with API integration and smart contract development
- Familiarity with large language models and prompt engineering techniques
Intended Audience
- Software engineers creating AI-integrated blockchain solutions
- Enterprise architects investigating decentralized AI frameworks
- 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
