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Duration 21 hours
Course Outline
Introduction to X402 and Decentralized AI
- An overview of Coinbase’s X402 protocol
- Understanding the motivation 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
- Combining Node.js and Python to enable cross-language workflows
Gaining Insight into the X402 Protocol
- Exploring the core principles governing agent-wallet interactions
- Reviewing data signing, verification, and privacy mechanisms
- Analyzing secure communication and authorization patterns
Embedding AI Models within X402 Applications
- Linking models such as OpenAI, DeepSeek, Qwen, and Mistral Small
- Controlling model inference and token consumption
- Building autonomous AI agents that are aware of wallet states
Developing Smart Contracts for AI Interaction
- Establishing agent permissions using Solidity
- Processing blockchain transactions driven by LLMs
- Validating and troubleshooting decentralized AI behavior
Addressing Security, Compliance, and Data Sovereignty
- Considering regulatory implications for AI and crypto
- Protecting data ownership and privacy through secure computation
- Auditing and safeguarding agent interactions
Exploring Advanced Architectures and Enterprise Integration
- Connecting X402 with corporate identity frameworks
- Crafting scalable infrastructures for multi-agent systems
- Reviewing case studies involving AI-driven payments, analytics, and automation
Handling Deployment and Operations
- Operationalizing decentralized AI agents in production environments
- Overseeing and maintaining X402-based systems
- Refining performance and cost efficiency
Requirements
- A foundational understanding of blockchain concepts
- Proficiency in API integration and smart contract development
- Familiarity with large language models and prompt engineering
Target Audience
- Software engineers creating AI-integrated blockchain applications
- Enterprise architects investigating decentralized AI architectures
- Engineering leads constructing secure, compliant AI agents using on-chain systems
Testimonials (1)
- like the blockchain introduction. For a blockchain newbie like me, its englighten me. - Like the technical workshop, also interesting
