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IBM

Developing AI Applications with Python and Flask

IBM via Coursera

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Overview

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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.

Syllabus

  • Python Coding Practices and Packaging Concepts
    • 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.
  • Web App Deployment using Flask
    • 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.
  • Creating AI Application and Deploy using Flask
    • 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.

Taught by

Ramesh Sannareddy and Joseph Santarcangelo

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Reviews

4.0 rating, based on 1 Class Central review

4.4 rating at Coursera based on 1345 ratings

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  • Profile image for Ronny De Winter
    Ronny De Winter @RonnyDeWinter
    367
    This experience expanded my knowledge and reinforced the critical role that AI, Python, and Flask play in today’s rapidly evolving tech landscape. Here’s a glimpse of what I’ve accomplished: ** Mastered the Python Application Development Lifecycle:…
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