Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 21 hours
Course Outline
Introduction to X402 and Decentralized AI
- An overview of Coinbase’s X402 protocol
- Motivation: securing AI agents with on-chain identity
- Key architectural components
Configuring the Development Environment
- Installation of the X402 SDK and required dependencies
- Setting up wallets and identity layers
- Integrating Node.js and Python for cross-language workflows
Deep Dive into the X402 Protocol
- Core principles governing agent-wallet interactions
- Data signing, verification, and privacy safeguards
- Secure communication and authorization patterns
Integrating AI Models into X402 Applications
- Connecting OpenAI, DeepSeek, Qwen, and Mistral Small
- Managing model inference and token consumption
- Building autonomous, wallet-aware AI agents
Implementing Smart Contracts for AI Interaction
- Defining agent permissions using Solidity
- Processing LLM-driven blockchain transactions
- Testing and debugging decentralized AI behavior
Security, Compliance, and Data Sovereignty
- Regulatory implications for AI and cryptocurrency
- Data ownership and privacy-preserving computation
- Auditing and securing agent interactions
Advanced Architectures and Enterprise Integration
- Integrating X402 with corporate identity systems
- Designing scalable, multi-agent infrastructures
- Case studies covering AI-driven payments, analytics, and automation
Deployment and Operations
- Running decentralized AI agents in production environments
- Monitoring and maintaining X402-based systems
- Optimizing performance and cost efficiency
Requirements
- A solid grasp of blockchain fundamentals
- Proficiency in API integration and smart contract development
- Familiarity with large language models and prompt engineering
Target Audience
- Software engineers building AI-integrated blockchain solutions
- Enterprise architects exploring decentralized AI frameworks
- Engineering leads focused on developing 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