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Duration 21 hours
Course Outline
Introduction to the X402 Framework and Decentralized Artificial Intelligence
- Examination of the Coinbase X402 protocol structure
- Rationale for securing AI agents through on-chain identity verification for government applications
- System architecture and primary constituent elements
Establishing the Development Environment
- Installation of the X402 Software Development Kit and required dependencies
- Configuration of digital wallets and identity verification layers
- Integration of Node.js and Python to support cross-language operational workflows
Analyzing the X402 Protocol
- Foundational principles governing interactions between agents and digital wallets
- Procedures for data signing, validation, and privacy preservation
- Protocols for secure communication and authorization controls
Incorporating Artificial Intelligence Models into X402 Applications
- Integration of OpenAI, DeepSeek, Qwen, and Mistral Small models
- Management of model inference processes and token utilization
- Development of autonomous, wallet-cognizant AI agents for government operations
Implementing Smart Contracts for AI Interactions
- Specification of agent permissions using Solidity
- Execution of blockchain transactions driven by large language models
- Testing and debugging of decentralized AI behaviors
Security, Regulatory Compliance, and Data Sovereignty
- Regulatory frameworks applicable to AI and cryptocurrency technologies
- Data ownership rights and privacy-preserving computational methods
- Auditing practices to secure and monitor agent interactions
Advanced Architectures and Enterprise Integration
- Integration of X402 with established corporate identity systems
- Design of scalable, multi-agent infrastructure for government services
- Case studies examining AI-driven payments, analytics, and process automation
Deployment and Operational Maintenance
- Execution of decentralized AI agents in production environments
- Monitoring and maintenance protocols for X402-based systems
- Optimization of system performance and resource expenditure
Summary and Recommended Follow-up Actions
Requirements
- Proficiency in fundamental blockchain concepts
- Experience with API integration and smart contract development
- Foundational knowledge of large language models and prompt engineering
Target Audience
- Software engineers developing AI-integrated blockchain applications
- Enterprise architects evaluating decentralized AI architectures
- Engineering leads constructing secure, compliant AI agents utilizing on-chain systems for government
Testimonials (1)
- like the blockchain introduction. For a blockchain newbie like me, its englighten me. - Like the technical workshop, also interesting
