jnaapti

AI curriculum

Course outline for Web Application Development in the AI Era

AI interfaces need to communicate progress, uncertainty, and user control. Build a small AI-enabled web interaction with safe rendering and explicit backend boundaries.

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

About Web Application Development in the AI Era

AI interfaces need to communicate progress, uncertainty, and user control. Build a small AI-enabled web interaction with safe rendering and explicit backend boundaries.

Web Application Development in the AI Era Course Objectives

  • Design conversational interactions with clear user controls.
  • Implement streaming response and error states.
  • Define safe rendering and backend tool boundaries.

Pre-requisites

  • Familiarity with frontend and backend web development.
  • Basic understanding of model APIs and structured output.

Lab Setup

  • Computer with a browser, code editor, and local web runtimes.
  • Use mocked streaming responses or a local model and synthetic inputs; paid model APIs are optional.

Detailed Course Outline

Proposed modules

Module 1: AI interaction design

  • AI-assisted development
  • AI-enabled interfaces
  • Conversational UX
  • Streaming responses

Practical outcome: Prototype a streaming interface with progress and cancellation states.

Module 2: Application architecture

  • Generative UI
  • Agent interfaces
  • AI backends
  • AI-native architecture

Practical outcome: Define rendering, tool access, and backend validation boundaries.

Practical exercise

  • Build a mock AI web interaction and test streaming, invalid output, and cancellation behavior.

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.

Discuss your learning goals