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Duration 21 hours
Course Outline
Foundations of X402 and Decentralized AI
- Overview of the Coinbase X402 protocol.
- The rationale behind secure AI agents with on-chain identity.
- Key architectural components and their functions.
Preparing the Development Environment
- Installing the X402 SDK and necessary dependencies.
- Setting up wallets and identity layers.
- Incorporating Node.js and Python for cross-language workflows.
Deep Dive into the X402 Protocol
- Fundamental principles governing agent-wallet interactions.
- Techniques for data signing, verification, and privacy protection.
- Patterns for secure communication and authorization.
Embedding AI Models into X402 Applications
- Connecting models like OpenAI, DeepSeek, Qwen, and Mistral Small.
- Overseeing model inference and token consumption.
- Constructing autonomous, wallet-aware AI agents.
Smart Contract Implementation for AI Engagement
- Specifying agent permissions within Solidity.
- Managing blockchain transactions driven by LLMs.
- Testing and debugging decentralized AI behaviors.
Security, Compliance, and Data Sovereignty
- Navigating regulatory aspects affecting AI and crypto.
- Ensuring data ownership and privacy-preserving computation.
- Auditing and securing agent interactions.
Advanced Architectures and Enterprise Integration
- Merging X402 with corporate identity systems.
- Designing scalable, multi-agent infrastructure.
- Examining case studies in AI-driven payments, analytics, and automation.
Deployment and Operational Management
- Operating decentralized AI agents in production environments.
- Monitoring and maintaining X402-based systems.
- Refining performance and controlling costs.
Conclusion and Future Directions
Requirements
- Familiarity with the fundamentals of blockchain technology.
- Practical experience in API integration and smart contract development.
- Foundational knowledge of large language models and prompt engineering.
Target Audience
- Software engineers creating blockchain applications with AI integration.
- Enterprise architects evaluating decentralized AI architectures.
- Engineering leads focused on building 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
