🔗 MCP End-to-End Mastery
End-to-end training on Model Context Protocol (MCP) for scalable AI system integration.
Key Features
- Why MCP?
- MCP Architecture and Components
- Building MCP servers, clients, besat practices
- MCP security best practices
Learning Objectives
- Understand MCP architecture and components
- Integrate MCP with AI models
- Deploy MCP in production environments
- Monitor and troubleshoot MCP systems
Prerequisites
- Python programming experience
- Experience with containerization
- Familiarity with AI/ML workflows