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.
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 University of Texas at Austin
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Gain insight into a topic and learn the fundamentals.
1,342 reviews
Intermediate level
Recommended experience
Flexible schedule
4 hours to complete
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
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Taught in English
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There is 1 module in this course
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
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Showing 3 of 1342
NU
Reviewed on Aug 21, 2023
This course inspired me to work extremely hard to hone my coding skills. I really appreciate the opportunity to take this course and wish the course team more success in the future endeavors!
CC
Reviewed on Dec 23, 2023
if you are not a developer or have an understanding of the terminology this is very hard. But, if you put the time and effort in, it's gratifying. Help is limited.
YZ
Reviewed on Jan 23, 2023
This is a great course in teaching actual programming skills in Python. It is the most time-consuming course so far in the series but is well deserved.
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