Lo que aprenderás
- Build runnable AI applications
Habilidades: LLM APIs · Web apps · Messaging bots · RAG · Fine-tuning · Assistants
Vista previa del curso
Preview: The AI Applications Landscape
A short public look at how everyday AI products are built — chat assistants, copilots, and workflow tools — before you enroll in the full course.
This free preview orients you to the AI applications landscape: what separates a demo from a product, where assistants and copilots fit, and how teams ship useful AI experiences. You will see the course framing for labs and projects without unlocking full lesson content, downloads, or private resources. Enroll to continue with guided practice, projects, and deeper application patterns across the full AI Applications Master Course.
Plan de estudios
Solo títulos de módulos y lecciones. El contenido completo se desbloquea tras la inscripción.
Module 01 — Foundations & Orientation
- L01 — Orient: The AI Applications Landscape
- L02 — Development Environment Setup
- L03 — Professional Editor Workflow (VS Code)
- L04 — Accounts, Keys & Cloud Literacy
Module 02 — LLM APIs & Conversational Cores
- L05 — Getting Started with the GPT API
- L06 — Build a Terminal Chatbot
- L07 — Gradio Chat UI I: Rapid GUI Foundations
- L08 — Gradio Chat UI II: Interactive Assistant
Module 03 — Web Apps with Flask
- L09 — Flask Foundations & First GPT Route
- L10 — Dynamic Routes & HTML Templates
- L11 — GPT Clone — Forms, POST & Jinja UI
Module 04 — Rapid Product UI
- L12 — Image Generation API Brain
- L13 — Flask Text-to-Image Product UI
- L14 — Streamlit Foundations for GenAI UI
- L15 — Streamlit Text-to-Image Studio
Module 05 — Messaging Automation
- L16 — Messaging Chat Brain
- L17 — WhatsApp GPT Bot (Twilio)
- L18 — Telegram GPT Bot
Module 06 — Documents, RAG & Agents