AI-Powered Software Testing & QA for Beginners

AI Software Testing, QA Fundamentals, Test Automation, Generative AI, and Future Quality Engineering
What you'll learn

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Understand the core concepts of Software Testing and Quality Assurance (QA).
Identify different types of testing, including functional, regression, smoke, and automation testing.
Understand the principles, benefits, and limitations of test automation.
Explain how Artificial Intelligence and Generative AI are transforming modern software testing.
Requirements

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A computer or a phone with an internet connection.
Basic familiarity with using computers and software applications.
An interest in learning Software Testing and QA.
No prior programming, testing, automation, or Artificial Intelligence experience is required.
Description

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This course contains the use of artificial intelligence.
Introduction to AI Software Testing & QA Automation for Beginners is an easy-to-understand course, which will acquaint you with basics of software testing, Quality Assurance, test automation, and the increasing importance of Artificial Intelligence in software development nowadays. If you have no experience in software testing whatsoever, are a student, IT graduate, aspiring QA Engineer, manual tester, or developer, here is a good starting point to get knowledge about modern QA practices.
In this course you will learn such things as what software testing is, why software quality is important, and what is the work of QA Engineer. You will be introduced to SDLC, STLC, development methodologies, testing types, software defects, severity and priority, and the difference between manual and automation testing.
You will also be introduced to test automation basics, programming knowledge required for QA Engineers, test automation frameworks, reusable test scripts, and common test automation concepts.
Next, the course will cover the concept of Artificial Intelligence in software testing. You will learn how AI can help in generating test cases, detecting bugs, generating test data, prioritizing tests, and analyzing predictive quality. You will also learn how Generative AI and Large Language Models (LLMs) can help QA specialists with test scenario writing, documentation, and automation script development.
At last, you will cover emerging concepts such as self-healing automation, autonomous testing, AI quality prediction, and future career perspectives in AI-driven Quality Engineering.
No software testing or programming skills are required to take this course. The course concentrates on theory and concepts and is perfect for those who want to gain theoretical knowledge first before entering QA Automation and AI Testing practice.
Who this course is for

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Complete beginners who want to learn software testing and QA.
Students and IT graduates interested in starting a QA career.
Developers who want to understand QA automation and AI-assisted testing.
Anyone interested in AI-powered software testing without needing prior testing experience.
Homepage

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