Library / Artificial Intelligence
Generative AI for Testing: LLMs, Selenium & AI Agents
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About this course
This course contains the use of artificial intelligence.
IMPORTANT NOTEPlease note: This course is based on live training sessions, so you may hear real student questions and interactions during the lessons. This helps simulate a real classroom environment and provides additional insights through practical discussions. We recommend watching the free preview videos to understand the teaching style and course content before enrolling.
COURSE DESCRIPTION This hands-on course helps you apply AI to real testing tasks and build practical skills for modern QA roles.
What will you gain from this course?
Manual Testers: Generate test cases, test scenarios, test data, and bug reports using AI instead of creating everything manually.
Automation Testers: Use AI to generate and improve Selenium and Playwright scripts, helping accelerate automation development.
QA Engineers: Explore LLMs, prompt engineering, and AI-powered testing workflows to expand your quality engineering skills.
Software Developers: Learn how LLM APIs and AI agents can support intelligent automation and testing tasks.
Beginners and Students: Build a foundation in AI, Machine Learning, Generative AI, and Large Language Models using practical examples.
Career Changers: Develop portfolio projects and learn to present your AI and automation skills through your resume and LinkedIn profile.
Explore ChatGPT, Claude, Gemini, DeepSeek, and Llama. Understand LLM architecture, fine-tuning concepts, API integration, and responsible AI practices.
Build two practical projects: a web-page inspection and automation-code generation agent, and a Jira-integrated AI agent for generating test cases from user stories.
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Udemy: 2026-11-07 · Coursera: 2026-11-07 · O'Reilly: 2026-11-07 · 365 Data Science: 2026-11-07
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