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Duration 21 hours
Course Outline
Foundations of X402 and Decentralized AI
- Overview of the Coinbase X402 protocol ecosystem.
- The driving force behind secure AI agents with on-chain identity verification.
- Core architecture and essential components.
Preparing the Development Environment
- Installing the X402 SDK and required dependencies.
- Configuring wallet and identity layers.
- Incorporating Node.js and Python to support cross-language workflows.
Mastering 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 in X402 Applications
- Integrating models from OpenAI, DeepSeek, Qwen, and Mistral Small.
- Strategies for managing model inference and token consumption.
- Crafting autonomous, wallet-aware AI agents.
Developing Smart Contracts for AI Interaction
- Defining agent permissions within Solidity.
- Processing blockchain transactions driven by LLMs.
- Testing and debugging behaviors in decentralized AI setups.
Ensuring Security, Compliance, and Data Sovereignty
- Navigating regulatory frameworks for AI and cryptocurrency.
- Preserving data ownership and employing privacy-preserving computation.
- Auditing processes to secure agent interactions.
Advanced Architectures and Enterprise-Level Integration
- Aligning X402 with corporate identity systems.
- Designing scalable infrastructures for multi-agent systems.
- Case studies covering AI-driven payments, analytics, and automation.
Deployment and Operational Management
- Executing decentralized AI agents in production environments.
- Monitoring and maintaining X402-based systems effectively.
- Optimizing for performance and cost efficiency.
Requirements
- A solid grasp of blockchain fundamentals.
- Practical experience in API integration and smart contract development.
- Familiarity with large language models and prompt engineering techniques.
Target Audience
- Software engineers focused on developing blockchain applications with AI integration.
- Enterprise architects investigating decentralized AI architectural models.
- Engineering leaders tasked with building secure, compliant AI agents utilizing on-chain systems.
Testimonials (1)
- like the blockchain introduction. For a blockchain newbie like me, its englighten me. - Like the technical workshop, also interesting
