AI curriculum
Course outline for Agent Interoperability and Protocols
Agent integrations use protocols with different responsibilities and maturity levels. Compare their interfaces and trust boundaries before selecting an integration approach.
About Agent Interoperability and Protocols
Agent integrations use protocols with different responsibilities and maturity levels. Compare their interfaces and trust boundaries before selecting an integration approach.
Agent Interoperability and Protocols Course Objectives
- Distinguish tool, agent, and user-interface protocol roles.
- Inspect example messages and capability declarations.
- Document compatibility and security questions for an integration.
Pre-requisites
- Familiarity with APIs, JSON, and agent tool calls.
- Basic programming or technical integration experience.
Lab Setup
- Computer with a JSON editor and a local mock HTTP service.
- Use protocol examples and simulated payment messages; no payment account or real transaction is required.
Detailed Course Outline
Proposed modulesModule 1: Agent and interface contracts
- MCP
- A2A
- Agent Skills
- AG-UI
Practical outcome: Compare interface responsibilities using example exchanges.
Module 2: Web integration and ecosystem boundaries
- WebMCP
- NLWeb
- AAIF
- x402
Practical outcome: Record implementation assumptions and trust boundaries without assuming uniform protocol support.
Practical exercise
- Design an interoperability contract and validate sample messages against its documented constraints.
How we train
Contact us for full course details, including duration, delivery options and lab requirements.
Ask about exercises, instructor feedback and the prior knowledge you need. Tool-specific courses marked provisional may become modules in a broader course.
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