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Build a Chatbot with OpenAI GPT Using Flask: Python AI Web

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Published 3/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 59m | Size: 506.17 MB

Learn to create a real AI chatbot with Python, Flask, JavaScript, HTML, and the OpenAI API step by step.

What you’ll learn
Set up Python, Flask, and your development environment properly
Build a web app backend using Flask
Design a clean chat interface using HTML and CSS
Use JavaScript to handle chat interactions in the browser
Connect JavaScript to Flask using API routes
Integrate the OpenAI GPT API into your Flask app
Send and receive AI-generated responses dynamically
Understand the full flow from frontend to AI backend

Requirements
Basic understanding of Python
A computer running Windows, macOS, or Linux
No prior AI or machine learning experience required

Description
In this course, you will build a fully functional AI chatbot from scratch using Python and Flask.

Instead of just calling an API, you will understand how everything connects together. You’ll start by setting up your development environment and building a simple Flask web application. Then you’ll create a clean chat interface using HTML and CSS.

After that, you’ll use JavaScript to handle user input and communicate with your Flask backend. Finally, you’ll connect your app to the OpenAI GPT API and generate real AI responses inside your chatbot.

By the end of this course, you’ll have a working AI-powered web application and a clear understanding of how frontend, backend, and AI services integrate in a real-world project.

This is perfect if you want to move from just “using AI tools” to actually building AI applications.

Course Content Overview

Section 1: Project Setup & Flask Basics

• Install Visual Studio and set up Python

• Build your first Flask web page

• Quiz to reinforce setup and fundamentals

Section 2: HTML & CSS Chat Interface

• Create a clean chat UI

• Structure messages properly

• Quiz to test interface concepts

Section 3: JavaScript Frontend Behaviour

• Capture user input

• Update chat dynamically

• Quiz to test frontend logic

Section 4: JavaScript Talking to Flask

• Send messages from browser to backend

• Handle API routes

• Quiz to reinforce backend communication

Section 5: Connecting Flask to ChatGPT API

• Integrate OpenAI GPT

• Send prompts and receive AI responses

• Display AI replies in your chat interface

• Final quiz to test API integration knowledge

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