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.

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Developing AI Applications with Python and Flask
This course is part of multiple programs.


Instructors: Abhishek Gagneja +1 more
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(1,141 reviews)
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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: Code Review
- Category: Application Programming Interface (API)
- Category: Software Development Life Cycle
- Category: Style Guides
- Category: Restful API
- Category: Artificial Intelligence
- Category: Programming Principles
- Category: Flask (Web Framework)
- Category: Python Programming
- Category: Web Applications
- Category: Unit Testing
- Category: Application Deployment
- Category: IBM Cloud
- Category: Application Development
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There are 3 modules 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
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
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 get your skills and proficiency assessed by your peers. 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 review2 app items2 plugins
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Reviewed on Nov 6, 2023
The course seems promising and relevant for individuals looking to develop web applications with Python, Flask, and AI integration.
Reviewed on Apr 2, 2024
Just awesome . Its extensive course to develop and experience runnable instance development and deployment were very helpful to give a boast to my confidence
Reviewed on Mar 22, 2024
Mind bending progressive skill set from IBM. Wow! Am so grateful to be exposed to the talent here as a curious student. :-)
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