Description
AI-Driven Test Automation: Playwright, Selenium, LLMs & More. In this course, participants learn how to build intelligent and flexible test frameworks by integrating large-scale on-premises and cloud language models. Key topics include installing and configuring on-premises models via Ollama, mastering the principles of prompt engineering, and understanding model behavior for effective communication. The course identifies common weaknesses in traditional automation and offers smart solutions, such as implementing AI-driven finder strategies. Participants learn to code to access on-premises and cloud models via APIs and create a centralized configuration. They learn how to extract information from the Page Object Model and send it to models. The practical part of the course includes building an intelligent finder strategy in Selenium and Playwright, implementing a self-healing mechanism for finder types, and managing model responses. Visual testing using visual models and end-to-end comparison techniques is also taught. The practical application of prompt and context engineering is demonstrated during the development of self-healing code, leading to more robust tests and significant maintenance reduction. Finally, this course provides the ability to build test automation frameworks that are capable of automatically repairing broken detectors while maintaining full test integrity.
What you will learn
- Prompt Engineering Basics:
- The principles of Prompt Engineering, Context Engineering, and Vibe Coding are learned.
- Context engineering and practical prompts:
- Applying Context Engineering and Prompt Engineering when writing self-healing code is learned in Selenium and Playwright.
- Self-healing code and test stability:
- It teaches you how to write self-healing Selenium/Playwright code with zero flaky UI tests.
- LLMs’ ability to repair:
- The power of local and cloud LLMs is understood in repairing broken locators.
This course is suitable for people who:
- Quality Assurance Engineers (QA Engineers).
- Software Development Engineers (Dev Engineer).
- AI QA Engineers.
- Artificial Intelligence Software Development Engineers (AI Dev Engineer).
Course details
- Publisher: Udemy
- Instructor: Karthik KK
- Training level: Beginner to advanced
- Training duration: 6 hours and 47 minutes
- Number of lessons: 61
Course syllabus as of 2025/10
Prerequisites for the AI-Driven Test Automation: Playwright Selenium LLMs & More course
- Good Understanding of Playwright
- Good Understanding of Selenium
- Good Knowledge in C# .NET
- Basics of programming concepts
- Eager to learn and solve real problems at work
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
2.9 GB
