Course Information
Course Overview
Build Resilient Test Automation Frameworks from scratch with Self Healing, Caching, Visual Testing & Local LLMs
Transform Your Test Automation Code (Selenium & Playwright) with AI-Powered Intelligence
This comprehensive course teaches you how to build intelligent, resilient test automation frameworks that leverage local LLMs to 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
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
Build code to access local LLMs via Ollama API
Build code to access cloud LLMs via OpenAI API
Create centralized configuration to access LLMs
Understand how to extract LocatorType and LocatorValue from Selenium POM
Understand passing PageSource and Locator Context to LLMs
Building Intelligent Locator Strategy for Selenium
Understand deserialization of LLM responses
Implement AI Healing to get alternative locators from LLMs
Build AI Healing for different locator types (XPath, CSS, ID, Name)
Perform AI Healing code within self-healing logic
Building Intelligent Playwright Automation
Implement Self Healing for Playwright
Handle Different Locator Types AI Healing in Playwright
Ensuring existing Selenium Test code logic works for Playwright with POM
Building Visual Testing with Vision LLM Model
Understanding Vision Models and using them for Testing
How to prompt Vision model to get Page comparison
Implementing E2E Vision comparison
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
Course Content
- 10 section(s)
- 84 lecture(s)
- Section 1 Introduction
- Section 2 Running LLMs locally using Ollama
- Section 3 Fundamentals: Understanding Prompt Engineering, Context Engineering & Vibe Code
- Section 4 Understanding the Current Automation Test Problem and Solution with AI and LLMs
- Section 5 Building Foundational Component: Talking with Local LLMs and Cloud AI LLMs
- Section 6 Building Intelligent Locator Strategy using AI for Selenium
- Section 7 Using Self Healing Locator in Page Object Model code of Selenium
- Section 8 Building Intelligence Test Automation Code for Playwright
- Section 9 Building Persistence Cache for Healed Locator for Observability and Retrieval
- Section 10 Building Visual Testing using Vision Models (Locally and OpenAI)
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
Skills covered in this course
Reviews
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SSwara Dewarde
The content is pretty good.
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AAyesha
Selenium and Playwright Self healing and Vision testing is not covered in any other course, this is a very good overview and insight to get the full understanding of it!
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LLuan Nguyen
Everything covered in this course aligns with the topics and questions I can address using AI
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RRameswar Rath
Good Stuff