Masterclass Software Quality Engineering | AI Testing
Quality Engineering, Modern Testing Principles, Devops for Quality Engineers, Automation Testing, Generetive AI - GPT
4.43 (557 reviews)
4,368
students
19.5 hours
content
Jan 2025
last update
$69.99
regular price
What you will learn
Learn modern ways to look at quality for software projects that are consistent with todays principles
Apply continuous improvement techniques to increase speed and quality
Understand how to use Artificial Intelligence to gain a productivity boost as well as help create powerful artifacts
See how to rapid start a project by leveraging ChatGPT to deploy a Playwright frontend automation framework
Use CHAT GPT to Create automated Performance Test Pipelines
Understand how Shift Left on quality increases release cadence, prevents defects and improves quality
Identify pitfalls in the development process and their corrective actions
Leverage the power of Continuous Testing, Development and testing with proper tool setup and guidance of framework implementation
Understand how Quality engineering principles are applied to agile deliveries to achieve in sprint automation and on time delivery
Understand how to create your own AI Agents for Testing
How to choose the right suited DEVOPS Testing pipeline
Understand and improve the testing process as an expert, AI cannot teach you this
Understand how test automation supports the overall quality approach and see some best practice to increase speed and reliability of execution
Master the use of the Test Pyramid : unit, integration, UI tests
Understand how to adapt your testing approach depending on the branching strategy that you have
Understand how to create on Demand/Feature Environment and how they are used in Continuous Testing and Shift Left Approach
Understand how LEAN principles apply to software development and gain know how on how to build a Value Stream Map to identity bottlenecks
We will understand the 8 Wastes of TIMWOODS that affect software delivery teams
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Related Topics
5077192
udemy ID
1/11/2023
course created date
5/9/2023
course indexed date
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