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Python for AI & Development Project

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IntermediateCourse

This mini-course introduces you to the process for unit testing Python code, including building and running unit tests and packaging the Python application for distribution.

Language

  • English

Topic

  • Python

Skills You Will Learn

  • Artificial Intelligence, Packaging And Labeling, Python (Programming Language), Unit Testing

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 4 hours

Platform

  • edX

Last Update

  • February 5, 2025
About this Course
Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

In this mini-course you will demonstrate what you’ve learned in the Python Basics* course and apply your Python skills to a real-world project for your final assignment. You will be introduced to unit testing and will develop the skills needed to create functions and unit tests, run the unit tests, and package the files in a standard Python Package.

Hands-on labs provide practical application of the project work you’ll be performing in the Peer-graded Final Assignment.

At the end of this project, you will have the skills to test your Python code, build and run unit tests, and package the Python application for distribution.

PRE-REQUISITE: *Python Basics course from IBM is a pre-requisite for this project course. Please ensure before taking this course you have either completed the Python Basics course from IBM or have equivalent proficiency in working with Python and data.

NOTE: This course is designed for the learner to apply prior Python knowledge. It is not intended to teach you Python and includes minimal instructional content.

What you'll learn

After completing this course, you will be able to:
  • Demonstrate Python basic skills for developing AI powered Applications.
  • Describe the purpose of unit testing and packaging.
  • Test your Python code.
  • Create a Python Package.
Expand your practical experience using IBM Watson APIs.

Course Syllabus

Module 1: Python Coding Practices and Packaging Concepts
  • Video: Application Development Lifecycle
  • Video: Introduction to Web Applications and APIs
  • Video: Demo: Working with an IDE
  • Hands-on Lab: Getting Started with IDE
  • Video: Python Style Guide and Coding Practices
  • Reading: Static Code Analysis Resources
  • Hands-on Lab: Static Code Analysis
  • Video: Unit Testing
  • Hands-on Lab: Practice Session and Assignment on Unit Testing
  • Video: Packaging
  • Hands-on Lab: Practice Session and Assignment on Python Packaging
  • Module 1 Summary: Python Coding Practices and Packaging Concepts
  • Module 1 Cheatsheet: Python Coding Practices and Packaging Concepts
  • Module 1 Graded Quiz: Python Coding Practices and Packaging Concepts
Module 2: Web App Deployment using Flask
  • Video: Python Libraries and Frameworks for Application Development
  • Video: Introduction to Flask
  • Video: Basic and Applications Routes
  • Hands-on Lab: Get Started with Flask Basics
  • Video: Request and Response Objects – Using GET and POST Modes
  • Video: Dynamic Routes
  • Video: Error Handling
  • Hands-on Lab: Building a API with Flask: Route Creation, Error Handling and HTTP Requests
  • Video: Deploying Web Apps using Flask
  • Reading: Decorators in Flask
  • Hands-on Lab: Building and Deploying a Web App using Flask App
  • Module 2 Lesson Summary: Web App Deployment using Flask
  • Module 2 Cheatsheet: Web App Deployment using Flask
  • Module 2 Graded Quiz: Web App Deployment using Flask
Module 3: Creating AI Application and Deploy using Flask
  • Hands-on Lab: Practice Project Overview
  • Practice Project: Sentiment Analysis
  • Final Project Overview
  • Final Project: Emotion Detector
  • Peer Review Submit Your Work and Grade Your Peers
  • Module 3 Summary: Creating AI Application and Deploy using Flask
Course Wrap-up:
  • Congratulations & Next Steps
  • Thanks from the Course Team

Instructors

Joseph Santarcangelo

Senior Data Scientist at IBM

Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.

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Rav Ahuja

Global Program Director, IBM Skills Network

Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data, Software Engineering and Cloud. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.

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IBM Skills Network Team

Administrator

IBM Skills Network

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