AI-Driven Test Automation: Playwright, Selenium, LLMs & More

Build Resilient Test Automation Frameworks from scratch with Self Healing, Caching, Smart Debugging & Local LLMs

What you'll learn
- Basics of Prompt Engineering, Context Engineering and Vibe Coding
- Applied Context Engineering and Prompt Engineering while writing Self healing code in Selenium/Playwright
- Writing Self Healing Selenium/Playwright code with ZERO flaky UI Tests
- Understand the Power of Local and Cloud LLMs while healing locators which are broken

Requirements
- Good Understanding of Playwright
- Good Understanding of Selenium
- Good Knowledge in C# .NET
- Basics of Programming concepts
- Eager to learn and solve real problem at work

Description
Transform Your Test Automation Code (Selenium & Playwright) with AI-Powered Intelligence

This comprehensive course teaches you how to buildintelligent,resilienttest automation frameworks that leveragelocal LLMsto reduce maintenance, improve test stability, and accelerate bug detection—all while maintaining complete test integrity.

What You'll Learn:

Foundation & Setup

Install and configure local LLMs using Ollama

Understand prompt engineering, context engineering & model behavior

Master the fundamentals of effective AI communication

Understanding Automation Problems & AI Solutions

Identify common automation pain points

Understand components for self-healing intelligent test code

Analyze traditional automation limitations

Learn how AI enables self-healing of locators in Selenium

Master prompting LLMs for alternative locators

Building Foundation - Local & Cloud LLM Communication

Access local LLMs with APIs using Ollama

Build code to access local LLMs via Ollama API

Access cloud LLMs (OpenAI GPT) with APIs

Build code to access cloud LLMs via OpenAI API

Create centralized configuration for models, URLs, temperatures

Read configuration from appSettings and deserialize to LLMConfig

Replace hardcoded values with configuration

Understand self-healing strategy problem statement

Extract LocatorType and LocatorValue from Selenium POM using ToString()

Pass PageSource and Locator Context to LLMs

Get alternative locators in JSON format for self-healing

Building Intelligent Locator Strategy for Selenium

Understand deserialization of LLM responses

Deserialize LLM response to Class Type

Build locator strategy architecture for each phase

Create CurrentLocatorStrategy to get locators from Selenium POM

Build AlternativeLocatorStrategy from collections

Implement AI Healing to get alternative locators from LLMs

Build AI Healing for different locator types (XPath, CSS, ID, Name)

Invoke AI Healing code within self-healing logic

Debug and run tests to understand AI self-healing flow

Building Intelligent Playwright Automation

Modify Playwright Page Object Model with AI Locators

Implement AI Locators with Extension Methods in Playwright

Fix Self-Healing Locator Class for Playwright architecture

Adapt TryFindWithCurrentStrategy for Playwright

Update Alternative Strategy Method for Playwright

Handle different Locator Types and Values in Playwright

By completing this course, you'll master building intelligent test automation frameworks using Selenium and Playwright enhanced with local LLMs through Ollama. You'll confidently implement AI-powered locator strategies that reduce maintenance while preserving test integrity, create self-healing mechanisms with human oversight, and use prompt engineering to generate test scenarios from natural language

Who this course is for:
- QA Engineers
- Dev Engineer
- AI QA Engineer
- AI Dev Engineer
More Info