Udemy – Generative AI for QA Professionals and Software Testers 2024-9

What you will learn in this course

• Understanding the Basics of Artificial Intelligence and Machine Learning: Start with a comprehensive understanding of artificial intelligence, machine learning and its variants. Learn how to develop and deploy models and learn the basics of generative AI to lay the groundwork for its application in quality assurance.
• Review of popular AI models: Explore the mechanism of popular AI systems such as ChatGPT, LLaMA, and others. Understand the architecture, capabilities, and how to use them to automate test case creation and other quality assurance tasks.
• Build a Spring Boot REST API Application: Develop a practical Spring Boot REST API application that integrates open source generative AI models using the Ollama platform. It automates quality assurance tasks such as manually creating test cases and generating Selenium scripts.
• Integrate with Jira for real-world automation: Learn how to get acceptance metrics from sample user stories by making API calls to Jira. See how these metrics feed into generative AI models to automate manual testing and create Selenium scripts to automate testing.
• Practical Implementation of Generative AI for Quality Assurance: Implement Generative AI solutions in real-world scenarios by building and testing an AI-integrated application. Master the use of artificial intelligence to generate accurate and efficient test cases, reducing manual effort and increasing test accuracy.
• Automate the creation of test cases and scripts: Automate the manual creation of test cases and Selenium scripts using artificial intelligence models, simplifying the testing process and ensuring faster delivery cycles.

This course is suitable for people who

• Quality Assurance Engineers: People who are responsible for software quality assurance.
• Software testing engineers and specialists: those who specialize in designing and executing software tests.
• Quality analysts: People who collect and analyze quality data.
• Automation Engineers: Those who automate testing processes.
• Quality Assurance Managers: People who have overall responsibility for the quality assurance team.
• IT Engineers: IT professionals involved in software development and maintenance.

Installation guide

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