Developing AI Applications with Python and Flask

Developing AI Applications with Python and Flask

This course is part of multiple programs.

Instructors: Abhishek Gagneja

Access provided by The Adult Learning Department at DCPL

148,651 already enrolled

3 modules

Gain insight into a topic and learn the fundamentals.

1,336 reviews

Intermediate level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

90%

Most learners liked this course

3 modules

Gain insight into a topic and learn the fundamentals.

1,336 reviews

Intermediate level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

90%

Most learners liked this course

What you'll learn

Describe the steps and processes involved in creating a Python application including the application development lifecycle
Create Python modules, run unit tests, and package applications while ensuring the PEP8 coding best practices
Build and deploy web applications using Flask, including routing, error handling, and CRUD operations.
Create and deploy an AI-based application onto a web server using IBM Watson AI Libraries and Flask

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments¹

AI Graded see disclaimer

Taught in English

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There are 3 modules in this course

This short course is designed to equip learners with foundational skills in Python for developing AI-enabled web applications using the Flask framework and Watson AI libraries. You will explore the end-to-end lifecycle of building scalable web applications, starting from writing clean and modular Python code to deploying complete AI-powered solutions.

The course begins by introducing Flask, a lightweight and flexible web framework, and helps learners build a strong foundation in web applications, APIs, and the overall development lifecycle. They will gain practical experience with the IBM Skills Network Cloud IDE, learn Python best practices including static code analysis, and write and run unit tests to ensure the reliability of their code. The course dives deeper into application development by teaching learners to build web applications with Flask covering topics such as routing, handling GET and POST requests, dynamic routes, and error management. By the end of the course, learners will complete a practice project and a final peer-reviewed project that showcases their ability to develop, test, and deploy AI-powered Flask applications. The hands-on experience gained throughout this course ensures learners are not only confident in their Python and Flask skills but are also ready to build intelligent web applications in real-world settings.

In this module, you will begin by understanding the differences between web applications and APIs, and the role each plays in application development. You will explore the application development lifecycle from gathering requirements to structuring code across multiple files and maintaining the application. You will get introduced to Flask and work on the IBM Skills Network Cloud IDE to install packages, write, run, and edit Python code. The module emphasizes writing clean code using PEP8 guidelines and performing static code analysis, ensuring the code adheres to the coding rules. Further, you will dive into unit testing, learning how to create, run, and interpret tests to validate your code’s functionality. Finally, the module guides you through creating Python modules, organizing them into packages, and verifying their functionality providing the foundation for packaging and distributing your Python applications.

What's included

7 videos3 readings2 assignments4 app items3 plugins

7 videos Total 38 minutes

Introduction to the Course 3 minutes
Application Development Lifecycle 6 minutes
Introduction to Web Applications and APIs 5 minutes
Demo: Working with an IDE 6 minutes
Python Style Guide and Coding Practices 6 minutes
Unit Testing 7 minutes
Packaging 6 minutes

3 readings Total 10 minutes

Helpful Tips for Completing this Course 3 minutes
Prerequisites and Course Syllabus 5 minutes
Module 1 Summary: Python Coding Practices and Packaging Concepts 2 minutes

2 assignments Total 40 minutes

Module 1 Practice Quiz: Python Coding Practices and Packaging Concepts 10 minutes
Module 1 Graded Quiz: Python Coding Practices and Packaging Concepts 30 minutes

4 app items Total 105 minutes

Hands-on Lab: Getting Started with IDE 15 minutes
Hands-on Lab: Static Code Analysis 30 minutes
Hands-on Lab: Practice Session and Assignment on Unit Testing 30 minutes
Hands-on Lab: Practice Session and Assignment on Python Packaging 30 minutes

3 plugins Total 25 minutes

Reading: Python with Flask for Large-Scale Projects 5 minutes
Reading: Static Code Analysis Resources 15 minutes
Module 1 Cheatsheet: Python Coding Practices and Packaging Concepts 5 minutes

In this module, you will explore the differences between Python libraries and frameworks and understand how frameworks like Flask simplify web application development. You will be introduced to Flask’s core features and learn how to set up and run basic Flask applications. The module covers key web development concepts such as defining routes, handling request and response objects, working with dynamic URLs, and managing errors using appropriate status codes. You will also learn about decorators in Flask and how they are used in application logic. Through hands-on labs, you will build RESTful APIs, implement GET and POST request handling, and incorporate error handling techniques. The module concludes with deploying your Flask application on the web and implementing additional features like CRUD operations, dynamic URL generation, and form handling to build fully functional web applications.

What's included

7 videos1 reading2 assignments4 app items3 plugins

7 videos Total 45 minutes

Python Libraries and Frameworks for Application Development 4 minutes
Introduction to Flask 7 minutes
Flask - Basic Applications and Routes 8 minutes
Request and Response Objects – Using GET and POST Modes 8 minutes
Dynamic Routes 4 minutes
Error Handling 6 minutes
Deploying Web Apps using Flask 8 minutes

1 reading Total 2 minutes

Module 2 Lesson Summary: Web App Deployment using Flask 2 minutes

2 assignments Total 40 minutes

Module 2 Practice Quiz: Web App Deployment using Flask 10 minutes
Module 2 Graded Quiz: Web App Deployment using Flask 30 minutes

4 app items Total 155 minutes

Hands-on Lab: Get Started with Flask Basics 20 minutes
Hands-on Lab: Building an API with Flask: Route Creation, Error Handling, and HTTP Requests 45 minutes
Hands-on Lab: Building and Deploying a Web App using Flask App 30 minutes
Hands-on Lab: Exploring Additional Features Flask 60 minutes

3 plugins Total 30 minutes

Reading: Decorators in Flask 10 minutes
Reading: Additional Features in Flask 15 minutes
Module 2 Cheatsheet: Web App Deployment using Flask 5 minutes

In this module, you will be introduced to Embeddable Watson AI libraries and apply them by building two AI-based applications. The practice project will provide you with a challenge to apply your programming skills and incorporate the IBM Watson libraries to build a text-based Sentiment Analysis tool. You will be provided guidance through each step of the project. The final project, Emotion Detection based on the text input, will help you improve your skills and proficiency. For both projects, you will implement unit testing, perform static code analysis, and incorporate error handling to ensure your applications are reliable and production ready.