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Duration 21 hours
Course Outline
Introduction to X402 and Decentralized AI
- An overview of the Coinbase X402 protocol.
- Understanding the drive behind creating secure AI agents with on-chain identity.
- Examining the architecture and essential components.
Preparing the Development Environment
- Installing the X402 SDK and necessary dependencies.
- Setting up wallets and identity layers.
- Integrating Node.js and Python to support cross-language workflows.
Deep Dive into the X402 Protocol
- Key principles governing agent-wallet interactions.
- Processes for data signing, verification, and privacy preservation.
- Patterns for secure communication and authorization.
Incorporating AI Models into X402 Applications
- Connecting OpenAI, DeepSeek, Qwen, and Mistral Small.
- Overseeing model inference and token consumption.
- Building autonomous, wallet-aware AI agents.
Building Smart Contracts for AI Interaction
- Specifying agent permissions using Solidity.
- Managing blockchain transactions driven by LLMs.
- Testing and debugging decentralized AI behaviors.
Security, Compliance, and Data Sovereignty
- Navigating regulatory frameworks for AI and cryptocurrency.
- Ensuring data ownership and privacy-preserving computation.
- Auditing and securing agent interactions.
Advanced Architectures and Enterprise Integration
- Connecting X402 with corporate identity systems.
- Designing scalable, multi-agent infrastructures.
- Case studies focusing on AI-driven payments, analytics, and automation.
Deployment and Operations
- Running decentralized AI agents in production environments.
- Monitoring and maintaining X402-based systems.
- Optimizing for performance and cost efficiency.
Requirements
- A solid grasp of blockchain fundamentals.
- Practical experience with API integration and smart contract development.
- Foundational knowledge of Large Language Models and prompt engineering.
Target Audience
- Software engineers creating blockchain applications with integrated AI capabilities.
- Enterprise architects investigating decentralized AI architectures.
- Engineering leads responsible for 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
