Testing | Quality Engineering | Gen AI | Examples GPT | BARD

Generative AI | Performance Test | API Testing | AI for Quality Engineering

What you'll learn
How to use ChatGPT and Google BARD for Quality Engineering
Improve Test automation with ChatGPT and Google BARD
Setup CI/CD pipelines
How to generate Test Data and Test Scripts with AI
Generative AI for Quality Engineering
Create a full performance test framework with Jmeter in the cloud with CHATGPT
Create a full API Testing test framework with Jmeter and RESTAssured in the cloud with Google BARD
Setup test tools with Google BARD
Improve efficiency of working with Google BARD
Requirements
no programming experience needed
Description
This introductory course is designed specifically for Software Quality Engineers interested in leveraging the power of Generative AI to enhance their testing, automation, and productivity.
Throughout the course, participants will learn how to apply Generative AI techniques to automate the generation of test cases, simulate user behavior, create user stories, and generate test data. The course will provide a practical understanding of how AI can be used to improve software quality and boost productivity, rather than focusing on the underlying AI algorithms and models.
Topics:
Understanding Generative AI
: An overview of Generative AI and its applications in software testing and quality assurance.
Automated Test Generation
: Learn how to use Generative AI to automatically generate a variety of test cases, reducing manual effort and increasing test coverage.
User Behavior Simulation
: Explore how Generative AI can simulate user behavior to test different scenarios and edge cases that might be difficult to anticipate manually.
Automated User Story Creation
: Understand how Generative AI can be used to generate user stories, helping to streamline the requirements gathering and software development process.
Test Data Creation
: Learn how Generative AI can be used to generate test data, ensuring comprehensive and effective testing while saving time and effort.
Code Investigation
: Discover how Generative AI can assist in investigating complex code, identifying potential issues, and understanding code dependencies.
Code Explanation
: Learn how Generative AI can be used to explain code behavior, making it easier to understand complex code and improve code quality.
Boosting Productivity
: Understand how these Generative AI techniques can be integrated into your existing workflows to boost productivity, improve software quality, and accelerate delivery times.
[Practical] See how to create a
Performance testing Framework
with CI/CD on cloud with AI
[Practical] Create an
API Testing Framework
with
Java
and
RESTAssured
with AI
See differences between CHATGPT and GOOGLE BARD
Google Cloud AI solution with model training -
Vertex AI
Who this course is for:
Business Analysts
Quality Engineers
Software Engineers
Scrum Masters
Engineering Managers

More Info