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Course Outline
Introduction to X402 and Decentralized AI
- Overview of Coinbase’s X402 protocol
- Rationale: Secure AI agents with on-chain identity
- Architecture and core components
Setting Up the Development Environment
- Installing X402 SDK and necessary dependencies
- Configuring wallets and identity layers
- Integrating Node.js and Python for cross-language workflows
Understanding the X402 Protocol
- Core principles of 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 usage
- Creating autonomous, wallet-aware AI agents
Implementing Smart Contracts for AI Interaction
- Defining agent permissions in Solidity
- Handling LLM-driven blockchain transactions
- Testing and debugging decentralized AI behavior
Security, Compliance, and Data Sovereignty
- Regulatory considerations for AI and crypto
- 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
- Monitoring and maintaining X402-based systems
- Optimizing performance and cost
Summary and Next Steps
Requirements
- Foundational knowledge of blockchain concepts
- Practical experience with API integration and smart contract development
- Familiarity with large language models and prompt engineering techniques
Target Audience
- Software engineers creating blockchain applications with AI integration
- Enterprise architects investigating decentralized AI architectures
- Engineering leads constructing 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
