Programme

Titres des modules et leçons uniquement. Le contenu complet se débloque après l’inscription.

1. Module M01

   1. Lesson M01-L01 — Where Gradio Fits in AI Application Architecture
   2. Lesson M01-L02 — Blocks, Inputs, Outputs, and Events
   3. Lesson M01-L03 — Project Organization: Components & ui/services Split
   4. Lesson M01-L04 — Local Run, Pinning & Hello Gradio Product Shell

2. Module M02

   1. Lesson M02-L01 — Connecting Gradio to Reusable LLM Backends
   2. Lesson M02-L02 — Chatbot History, messages[] & Session State
   3. Lesson M02-L03 — Streaming, Progress & Status UX
   4. Lesson M02-L04 — Prompt Presets, System Controls & Readable Errors

3. Module M03

   1. Lesson M03-L01 — File Uploads & Document Assistant Pattern
   2. Lesson M03-L02 — Image Analysis & Audio Input Surfaces
   3. Lesson M03-L03 — Multi-Page / Tabs: Workspace Composition
   4. Lesson M03-L04 — Sessions, State & PDF Question Answering UI

4. Module M04

   1. Lesson M04-L01 — Export, Empty States, Accessibility & Dashboard Patterns
   2. Lesson M04-L02 — Share Hardening & Internal Business Assistant Patterns
   3. Lesson M04-L03 — Deployment Prep & Operator Cold Start
   4. Lesson M04-L04 — Ship JP-JA10 Professional AI Workspace