# Python for AI (Self-Paced)

Canonical URL: <https://www.graduateschool.edu/courses/python-ai-course-online>

## Overview

Harness the power of AI in web development with this hands-on course. Whether you’re aiming to enhance your Python development skills or enter the world of AI-powered applications, this class equips you with the knowledge and tools to confidently build dynamic web apps using the Flask framework.

 

You’ll begin by learning the fundamentals of Flask, including setting up projects, creating routes, and rendering HTML templates. Next, you’ll cover web development essentials such as designing and styling with HTML and CSS, building forms for user input, and handling requests to make your app interactive and user-friendly.

Then, you’ll take your skills further by integrating the OpenAI API into your Flask application—learning to make API calls for tasks like sentiment analysis and display results dynamically within your web app. The course also addresses key topics like error handling, debugging, and deploying your application. By the end, you’ll be ready to deliver a seamless Python development experience enhanced with AI integration.

## What you'll learn

- Set up Flask projects and create routes for web applications
- Handle GET and POST requests, and render HTML templates in Flask
- Configure and make OpenAI API requests for sentiment analysis tasks
- Design and style HTML forms, and apply CSS to web apps
- Implement error handling and debug common issues in Flask applications
- Integrate AI models like GPT-4 into web applications using APIs

## Prerequisites

This course requires a basic to intermediate understanding of Python programming. Students without prior experience should first take our [Python for Data Science Bootcamp](/courses/python-data-science-bootcamp) or [Python Programming Bootcamp](/courses/python-bootcamp).

## Curriculum

#### Introduction to Flask

- Overview of Flask and its use cases
- Setting up a Flask project
- Creating and running your first Flask app

#### Building the Web Application

- Designing the HTML structure and creating templates
- Styling the app with CSS
- Creating Flask routes for handling requests and rendering templates

#### Integrating the OpenAI API

- Setting up the OpenAI API and acquiring an API key
- Making API calls to perform sentiment analysis
- Parsing and displaying the API's results in your web app

#### Handling User Input

- Building forms in HTML to capture user input
- Processing form submissions in Flask
- Displaying dynamic content based on user input

#### Error Handling & Debugging

- Implementing error handling to catch and manage potential issues
- Debugging common errors and understanding Flask's error messages

#### Deploying & Testing

- Running the Flask app locally and testing its functionality
- Reviewing the complete workflow of submitting a comment and receiving sentiment analysis results

## Pricing

**Tuition:** $1895