EdX

Python for AI & Development Project (edX)

Offered by IBM,
Python for AI & Development Project (edX)

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. 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.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

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.
This course is part of the following programs:

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.

Syllabus

Module 1: Course Introduction
Module 2: Unit Testing and Packaging
Module 3: Peer-graded Final Project: Build, Test and Package your Python Application

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

CS For All: Introduction to Computer Science and Python Programming (edX) EdX
Harvey Mudd College,HarveyMuddX

CS For All: Introduction to Computer Science and Python Programming (edX)

A fun, fast-paced introduction to solving interesting problems with computer science through Python programming. Looking to get started with computer science while learning to program in Python? This computer science course provides an introduction to computer science that’s both challenging and fun.

No sessions available
13-24 Weeks
Introduction to Cloud Computing (edX) EdX
IBM

Introduction to Cloud Computing (edX)

Master the core concepts in Cloud Computing, from service and deployment models, to cloud architecture, security, new technologies, and possible careers. This course introduces you to the core concepts of cloud computing. You will gain the foundational knowledge required for understanding cloud computing from both business and practitioner perspectives.

Self Paced
Self-Paced
Successfully Evaluating Predictive Modelling (edX) EdX
University of Edinburgh,EdinburghX

Successfully Evaluating Predictive Modelling (edX)

Gain an in-depth understanding of evaluation and sampling approaches for effective predictive modelling using Python. A predictive exercise is not finished when a model is built. This course will equip you with essential skills for understanding performance evaluation metrics, using Python, to determine whether a model is performing adequately.

Oct 26th 2021
5-12 Weeks
Advanced Algorithmics and Graph Theory with Python (edX) EdX
Institut Mines-Telecom,IMTx

Advanced Algorithmics and Graph Theory with Python (edX)

Strengthen your skills in algorithmics and graph theory, and gain experience in programming in Python along the way. Algorithmics and programming are fundamental skills for engineering students, data scientists and analysts, computer hobbyists or developers. Learning how to program algorithms can be tedious if you aren’t given an opportunity to immediately practice what you learn. In this course, you won't just focus on theory or study a simple catalog of methods, procedures, and concepts. Instead, you’ll be given a challenge wherein you'll be asked to beat an algorithm we’ve written for you by coming up with your own clever solution.

Sep 4th 2023
5-12 Weeks
Computer Applications of Artificial Intelligence and e-Construction (edX) EdX
Purdue University,PurdueX

Computer Applications of Artificial Intelligence and e-Construction (edX)

Learn the fundamentals of artificial intelligence, machine learning, natural language processing and their applications in e-Construction. This course is the third in a sequence of interrelated courses of the current computer applications in the construction industry. The emphasis of this course is the advanced computational tools including artificial intelligence, machine learning, and natural language processing, and their applications in e-Construction.

Mar 28th 2022
5-12 Weeks
Computing for Data Analysis (edX) EdX
Georgia Institute of Technology,GTx

Computing for Data Analysis (edX)

A hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning. The modern data analysis pipeline involves collection, preprocessing, storage, analysis, and interactive visualization of data. In the course, you’ll see how computing and mathematics come together.

Aug 19th 2024
13-24 Weeks
Artificial Intelligence (AI) (edX) EdX
Columbia University,ColumbiaX

Artificial Intelligence (AI) (edX)

Learn the fundamentals of Artificial Intelligence (AI), and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems. What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common? They are all complex real world problems being solved with applications of intelligence (AI).

This course is archived
5-12 Weeks
Análisis de datos: Llévalo al MAX() (edX) EdX
Delft University of Technology,DelftX

Análisis de datos: Llévalo al MAX() (edX)

Incrementa tus habilidades de análisis de datos utilizando hojas de cálculo y visualización de datos en Excel. Aumenta tu productividad y produce mejores decisiones de negocio. Este curso de análisis de datos (business intelligence: BI) y estadísticas es para todos aquellos que quieren mejorar sus habilidades en el análisis de datos. ¿Buscas una forma inteligente de visualizar los datos para que tengan sentido? ¿Quieres entender esa colección de datos loca que te dio tu jefe? ¿Tienes Megabytes de sensores de datos para analizar? ¡No te preocupes, lo tenemos cubierto!

Self Paced
Self-Paced
Data Analytics and Visualization in Health Care (edX) EdX
Rochester Institute of Technology,RITx

Data Analytics and Visualization in Health Care (edX)

Learn best practices in data analytics, informatics, and visualization to gain literacy in data-driven, strategic imperatives that affect all facets of health care. Big data is transforming the health care industry relative to improving quality of care and reducing costs—key objectives for most organizations. Employers are desperately searching for professionals who have the ability to extract, analyze, and interpret data from patient health records, insurance claims, financial records, and more to tell a compelling and actionable story using health care data analytics.

Self Paced
Self-Paced
Using Python for Research (edX) EdX
HarvardX,Harvard University

Using Python for Research (edX)

Take your introductory knowledge of Python programming to the next level and learn how to use Python 3 for your research. This course bridges the gap between introductory and advanced courses in Python. While there are many excellent introductory Python courses available, most typically do not go deep enough for you to apply your Python skills to research projects.

Self Paced
Self-Paced
Stochastic Processes: Data Analysis and Computer Simulation (edX) EdX
Kyoto University,KyotoUx

Stochastic Processes: Data Analysis and Computer Simulation (edX)

The course deals with how to simulate and analyze stochastic processes, in particular the dynamics of small particles diffusing in a fluid. The motion of falling leaves or small particles diffusing in a fluid is highly stochastic in nature. Therefore, such motions must be modeled as stochastic processes, for which exact predictions are no longer possible. This is in stark contrast to the deterministic motion of planets and stars, which can be perfectly predicted using celestial mechanics.

This course is archived
5-12 Weeks