Developing AI Applications with Python and Flask Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This course provides a hands-on introduction to developing AI-powered web applications using Python and Flask. You'll learn coding best practices, Flask fundamentals, and how to integrate IBM Watson AI services into web applications. The course is structured into five modules with hands-on projects, culminating in a final AI application. Total time commitment is approximately 11 hours, designed for flexible learning suited to working professionals.

Module 1: Python Coding Practices and Packaging Concepts

Estimated time: 3 hours

Understanding the application development lifecycle
Following PEP8 coding standards
Performing static code analysis
Writing and running unit tests
Creating and packaging Python modules

Module 2: Web App Deployment using Flask

Estimated time: 4 hours

Exploring Python web frameworks with focus on Flask
Defining routes and handling HTTP requests and responses
Using decorators and error handling in Flask
Deploying a basic web application using Flask

Module 3: Creating AI Application and Deploy using Flask

Estimated time: 4 hours

Introducing IBM Watson AI libraries
Integrating AI capabilities into Flask applications
Building a text-based sentiment analysis tool

Module 4: Practice Project – AI-Powered Web App

Estimated time: 3 hours

Designing a Flask-based web interface
Integrating Watson AI for text analysis
Testing and debugging the application

Module 5: Final Project – Deployed AI Application

Estimated time: 5 hours

Developing a complete AI-powered web application
Applying coding best practices and modular design
Deploying the application with Flask and Watson AI

Module 6: Final Project