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Duration 21 hours
Course Outline
Foundations of X402 and Decentralized AI
- An introduction to the Coinbase X402 protocol.
- Underlying motivations: establishing secure AI agents with on-chain identity.
- Architectural overview and essential components.
Preparing the Development Environment
- Installation of the X402 SDK and necessary dependencies.
- Setup of wallets and identity layers.
- Integration of Node.js and Python to support cross-language workflows.
Delving into the X402 Protocol
- Core principles governing agent-wallet interactions.
- Processes for data signing, verification, and privacy protection.
- Patterns for secure communication and authorization.
Embedding AI Models into X402 Applications
- Connecting models such as OpenAI, DeepSeek, Qwen, and Mistral Small.
- Oversight of model inference and token consumption.
- Construction of autonomous AI agents that are wallet-aware.
Implementing Smart Contracts for AI Engagement
- Specifying agent permissions using Solidity.
- Processing blockchain transactions driven by LLMs.
- Testing and debugging the behavior of decentralized AI systems.
Security, Compliance, and Data Sovereignty
- Regulatory frameworks concerning AI and cryptocurrency.
- Ensuring data ownership and employing privacy-preserving computation.
- Auditing processes to secure agent interactions.
Advanced Architectures and Enterprise Integration
- Linking X402 with corporate identity management systems.
- Designing scalable infrastructures for multiple agents.
- Case studies covering AI-driven payments, analytics, and automation.
Deployment and Operational Management
- Executing decentralized AI agents in production environments.
- Monitoring and upkeep of X402-based systems.
- Strategies for optimizing performance and managing costs.
Recap and Future Directions
Requirements
- A solid grasp of fundamental blockchain concepts.
- Practical experience in API integration and smart contract development.
- Familiarity with large language models and prompt engineering techniques.
Target Audience
- Software engineers focused on creating blockchain applications integrated with AI.
- Enterprise architects investigating decentralized AI architectural patterns.
- Engineering leaders responsible for deploying secure, compliant AI agents on on-chain systems.
Testimonials (1)
- like the blockchain introduction. For a blockchain newbie like me, its englighten me. - Like the technical workshop, also interesting
