Software Development

Author: Logan Rakai; Difficulty: Beginner; Description: Run the gauntlet of Bash lab challenges that increase in difficulty but are suitable for Bash beginners.; Duration: Up to 3 hours and 45 minutes; This learning path has: 6 Lab challenges

Author: Ross Leo; Difficulty: Advanced; Description: Would you like to become a Certified Secure Software Lifecycle Professional? Learn more about the CSSLP and get this globally recognized security certification.; Duration: Up to 4 hours and 1 minute; Content Topics: Software development security; This learning path has: 4 Courses, 1 Resource, 4 Exams

Author: Daniel Mease; Difficulty: Beginner; Description: Everything you need to get started working with Google Generative AI products; Duration: Up to 1 hour and 10 minutes; Content Topics: Artificial Intelligence; This learning path has: 2 Courses

Author: Logan Rakai; Difficulty: Beginner; Description: Write, debug, and test C# applications targeting .NET in the browser-based integrated development environment provided in this lab playground.; Duration: Up to 4 hours; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: QA; Difficulty: Advanced; Description: This lab allows delegates to gain a better understanding of the language, run-time library, and software engineering techniques available with the C language.; Duration: Up to 8 hours; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Ben Lambert; Difficulty: Intermediate; Description: Object oriented programming consists of bundling data and code together into a single entity referred to as **objects**. Object inheritance is an important aspect of object-oriented programming. Learn how to create object hierarchies in this hands-on lab.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 6 Lab steps

Author: Ben Lambert; Difficulty: Intermediate; Description: Learn how to use magic methods to control the way that objects interact with the Python language syntax and built-in functions. This lab covers commonly used magic methods through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 4 Lab steps

Author: Ben Lambert; Difficulty: Intermediate; Description: The unittest.mock module is Python's built-in mocking and patching module. Used to replace objects with fake implementations during testing. This lab introduces the unittest.mock module through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 12 Lab steps

Author: Ben Lambert; Difficulty: Intermediate; Description: Python's built-in unittest module is a testing framework for creating unit and integration tests. This lab introduces the unittest module through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 12 Lab steps

Author: Farish Kashefinejad; Difficulty: Advanced; Description: In this lab, you will be working with JavaScript Classes.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 11 Lab steps

Author: Andrea Giussani; Difficulty: Advanced; Description: In this Lab, you will be challenged on your knowledge on Python for Data Science, in particular on three important aspects: Programming, Data Management and Visualization. The idea is to test your ability to deal with advanced data science requests that a Senior Data Scientist is expected to deal with.; Duration: Up to 1 hour; This lab challenge has: 2 Lab steps

Author: Hallam Webber; Difficulty: Intermediate; Duration: 18 minutes and 5 seconds; Content Topics: Development; This course has: 4 Units

Author: John Baugh; Difficulty: Intermediate; Duration: 1 hour and 40 minutes; Content Topics: Development; This course has: 10 Units

Author: Logan Rakai; Difficulty: Intermediate; Description: Test your knowledge of building Python applications using multiprocessing queues and events in this lab challenge.; Duration: Up to 40 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps

Author: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate software architecture decisions.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: The goal of this challenge is to complete the classic exercise of writing "Hello, World!" using Bash.; Duration: Up to 15 minutes; Content Topics: Operating System; This lab challenge has: 2 Lab steps

Author: Ben Lambert; Difficulty: Intermediate; Description: The unittest.mock module is Python's built-in mocking and patching module. Used to replace objects with fake implementations during testing. This lab introduces the unittest.mock.patch callable through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 11 Lab steps

Author: Oak Academy; Difficulty: Intermediate; Duration: 3 hours and 42 minutes; Content Topics: Development; This course has: 21 Units

Author: Oak Academy; Difficulty: Intermediate; Duration: 1 hour and 58 minutes; Content Topics: Development; This course has: 8 Units

Author: Andrea Giussani; Difficulty: Advanced; Description: In this lab challenge, you will be tested on your scikit-learn skills to build a machine learning pipeline to predict the price of a stock; Duration: Up to 1 hour and 30 minutes; Content Topics: Machine Learning; This lab challenge has: 2 Lab steps

Author: Oak Academy; Difficulty: Beginner; Duration: 1 hour and 18 minutes; Content Topics: Development, Operating System; This course has: 15 Units

Author: Oak Academy; Difficulty: Beginner; Duration: 29 minutes and 9 seconds; Content Topics: Development, Operating System; This course has: 6 Units

Author: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate the generation of test cases.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps

Author: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate the generation of documentation.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps