Developing AI Applications with Python and Flask

Developing AI Applications with Python and Flask

Name: Developing AI Applications with Python and Flask
Rating: 4.4443620178041545 (1348 reviews)

This course is part of multiple programs.

Instructors: Abhishek Gagneja +1 more

150,973 already enrolled

Included with

3 modules

Gain insight into a topic and learn the fundamentals.

1,348 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.

1,348 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

Category: Programming Principles
Category: Application Deployment
Category: Code Review
Category: Artificial Intelligence
Category: Unit Testing
Category: Software Development Life Cycle
Category: Natural Language Processing

Tools you'll learn

Category: Flask (Web Framework)
Category: Integrated Development Environments
Category: Python Programming
Category: IBM Cloud
Category: Web Applications
Category: Restful API

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments¹

AI Graded see disclaimer

Taught in English

Build your subject-matter expertise

This course is available as part of

When you enroll in this course, you'll also be asked to select a specific program.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

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.

What's included

3 readings1 peer review3 app items2 plugins

3 readings Total 5 minutes

Module 3 Summary: Creating AI Application and Deploy using Flask 3 minutes
Congratulations & Next Steps 1 minute
Thanks from the Course Team 1 minute

1 peer review Total 30 minutes

Option 2: Peer-Graded Submission and Evaluation 30 minutes

3 app items Total 165 minutes

Option 1: AI-Graded Submission and Evaluation 30 minutes
Practice Project: Sentiment Analysis 60 minutes
Final Project: Emotion Detector 75 minutes

2 plugins Total 10 minutes

Practice Project Overview 5 minutes
Final Project Overview 5 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Instructor ratings

(328 ratings)

Abhishek Gagneja

IBM

6 Courses 275,391 learners

Offered by

IBM

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

5 stars
71.66%
4 stars
15.20%
3 stars
4.30%
2 stars
3.56%
1 star
5.26%

Showing 3 of 1348

Reviewed on Apr 23, 2022

A bit harder labs, and final project where not everything was copy and paste. Only downside was that pre-loaded .js was mixed in coding standard, which made for some confusions...

Reviewed on Mar 2, 2026

too many ambiguous tasks and missing screen shots with the various coding task - took far longer than it should have to identify errors and track down what should have been coded

Reviewed on Mar 21, 2024

Mind bending progressive skill set from IBM. Wow! Am so grateful to be exposed to the talent here as a curious student. :-)

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.