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Course Outline
Introduction to X402 and Decentralized AI for Government
- Overview of Coinbase’s X402 Protocol for Government Use
- Motivation: Secure AI Agents with On-Chain Identity for Enhanced Governance
- Architecture and Key Components for Government Applications
Setting Up the Development Environment for Government Projects
- Installing X402 SDK and Dependencies for Government Systems
- Configuring Wallets and Identity Layers for Secure Operations
- Integrating Node.js and Python for Cross-Language Workflows in Government Applications
Understanding the X402 Protocol for Government Use
- Core Principles of Agent-Wallet Interactions for Government Operations
- Data Signing, Verification, and Privacy for Government Data Integrity
- Secure Communication and Authorization Patterns for Government Networks
Integrating AI Models into X402 Applications for Government Services
- Connecting OpenAI, DeepSeek, Qwen, and Mistral Small for Government Use
- Managing Model Inference and Token Usage for Efficient Government Operations
- Creating Autonomous, Wallet-Aware AI Agents for Government Applications
Implementing Smart Contracts for AI Interaction in Government Systems
- Defining Agent Permissions in Solidity for Government Compliance
- Handling LLM-Driven Blockchain Transactions for Government Services
- Testing and Debugging Decentralized AI Behavior for Government Applications
Security, Compliance, and Data Sovereignty for Government Operations
- Regulatory Considerations for AI and Crypto in Government
- Data Ownership and Privacy-Preserving Computation for Government Data
- Auditing and Securing Agent Interactions for Government Accountability
Advanced Architectures and Enterprise Integration for Government Use
- Integrating X402 with Corporate Identity Systems for Government Entities
- Designing Scalable, Multi-Agent Infrastructures for Government Projects
- Case Studies: AI-Driven Payments, Analytics, and Automation in Government Operations
Deployment and Operations of X402 Systems for Government
- Running Decentralized AI Agents in Production for Government Services
- Monitoring and Maintaining X402-Based Systems for Government Efficiency
- Optimizing Performance and Cost for Government Projects
Summary and Next Steps for Government Implementation
Requirements
- A solid understanding of blockchain fundamentals for government and other sectors
- Experience with API integration and smart contract development
- Basic knowledge of large language models and prompt engineering
Audience
- Software engineers developing AI-integrated blockchain applications for government and enterprise use
- Enterprise architects exploring decentralized AI architectures for government systems
- Engineering leads building secure, compliant AI agents using on-chain systems for government projects
21 Hours
