Masterclass Software Quality Engineering | AI Testing-2024

Description

This is a masterclass in Quality Engineering teaching the student how to properly approach quality validations by applying shift left and Right approaches, Dev Ops tool chain and Lean principles. This will provide an in dept analysis on how one can have preventive measures before the first line of code is written and how to maximize the return on the investment made in quality engineering.

The main goal of this course is to put together all the individual pieces that make software testing: Automation, Devops, Agile, Functional, Non-Functional, Version Control, Shift left and Shift Right, Containers, X as Code, Automated quality checks, Environments, Cloud and so on into one lecture that will bring these topics in a LEAN approach. This will take you from average Quality engineer to quality transformation expert.

You will see how to overcome the storming and norming phase in the team and reach the high performing state by looking at the model based on the five dysfunctions of the team.

After this lecture you will be able to improve the efficiency of your process, reduce infrastructure cost related to quality engineering, increase the speed of execution. By explaining LEAN Concepts and TIMWOODS wastes the project and organization will move to a continuous improvement and innovation state.

What You Will Learn!

• Learn modern ways to look at quality for software projects
• Apply continuous improvement techniques to increase speed and quality
• Leveraging the power of AI - CHAT GPT
• CI/CD Performance Tests with JMeter
• Use CHAT GPT to Create automated Performance Test Pipelines
• Understand how Shift Left on quality increases release cadence
• Identify pitfalls in the development process and their corrective actions
• Leverage the power of Continuous Testing
• Quality engineering principles applied to agile deliveries
• How to choose the right suited DEVOPS Testing pipeline
• Advanced Quality Assurance
• Testing Automation
• Test Pyramid and automation

Who Should Attend!

• Quality Engineering Professionals
• Engineering Managers
• Full stack Testers
• Quality Assurance Advisors

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