What you'll learn:
- How to use ChatGPT for Quality Engineering
- Improve Test automation with ChatGPT
- Setup CI/CD pipelines with ChatGPT
- Improve efficiency of working with CHATGPT
- Perform validation for stories with Generative AI
- Create an automated Playwright testing Framework with GPT 40 and CANVAS
- Learn how to understand SQL and generate Test Data with Chat GPT
- Generate and manipulate large Data Sets with AI Chat GPT
- Create a full performance test framework with Jmeter in the cloud
- Understand Basic Machine learning Methods
- Build your own GPT and publish it to Marketplace
- Connect to GTP with the help of the Rest API
- Learn how to use ChatGPT to write BDD scenarios
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.
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.
See how to create a Performance testing Framework with CI/CD on cloud with AI
Crate your own custom GPTand publish it in the GPT Store
Understand Machine Learning and basic AIConcepts
Connect to the OpenAIBackend with the help of the REST API.
