jnaapti

AI curriculum

Course outline for The Agent-Accessible Web

Agents need clear machine-readable interfaces rather than fragile page interactions. Design discoverable web capabilities with explicit identity and authorization boundaries.

Technology
AI-Native Web and Application Development
Duration
4 hours
Modules
2 · 2 hours each
Level
Prerequisites listed

About The Agent-Accessible Web

Agents need clear machine-readable interfaces rather than fragile page interactions. Design discoverable web capabilities with explicit identity and authorization boundaries.

The Agent-Accessible Web Course Objectives

  • Compare web-agent interface approaches.
  • Define structured capability and data descriptions.
  • Specify identity and authorization checks for agent requests.

Pre-requisites

  • Familiarity with HTTP, APIs, and structured data.
  • Basic web development or integration experience.

Lab Setup

  • Computer with a browser, JSON editor, and a local HTTP server.
  • Use mock agent clients and synthetic identities; no public deployment or paid platform is required.

Detailed Course Outline

Proposed modules

Module 1: Machine-readable web capabilities

  • WebMCP
  • NLWeb
  • Structured data
  • Machine-readable interfaces

Practical outcome: Describe a web capability using a structured contract.

Module 2: Controlled agent access

  • APIs for agents
  • Identity
  • Authorization
  • Agent discovery

Practical outcome: Define discovery and access rules without assuming protocol support in every client.

Practical exercise

  • Build a local capability description and mock agent API with tested authorization boundaries.

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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