Section 1: Introduction to AI Testing terminologies
Prompt Engineering - Understand 3 C's - Context, Constraints, Clarity
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Important Note
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Why Prompt Engineering matters? - Mastering it is an Art. (6:04)
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Adding Constraints to leverage Zero shot prompting for better AI results (9:19)
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Practice scenarios for crafting prompts better & Few shot prompting technique (6:09)
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Chain of thought prompting - Let AI detail us on how it is thinking (6:29)
Understand Tokens & Generate Test Plan, Test Cases, Test Strategy using AI
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What are tokens? Why it matters when interacting with AI Models (6:59)
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Understand how Context Window Limit works - Tips to save tokens (6:53)
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Generating Test Plan for the Project business requirements using AI (13:15)
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Generating Test Cases for the requirements using AI (10:11)
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Generating Test Strategy (Shift Left Testing) with the given Test cases using AI (9:11)
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Generate Test Data combinations for the given tests using AI (10:19)
Effortlessly Generate Automation Code for Selenium, Playwright, Cypress using AI
GitHub Copilot extension for Visual Studio Code - Tips & Tricks
Section 4: Introduction to AI Powered exclusive Testing tools
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Understanding the capabilities of AI powered Testing tools (13:06)
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Introduction to TestRigor AI tool and its features on creating Tests using AI (12:30)
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Generating Automatic Test cases on fly with the english requirements (13:44)
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Understanding Scripting language of Test Rigor with a demo test (21:25)
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Self Healing capabilities to fix tests using AI powered testing tools (9:13)
Build Automation AI Agents with Model Context Protocol (MCP) Servers
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What is MCP? How this MCP help an LLM to be super powerful (28:09)
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Resources to download
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Build Agent which automates web browser using Playwright/Selenium MCP Servers (14:36)
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Build Agent which can extract data from SQL database by framing complex queries (23:40)
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Build Agent which can perform API Testing & talk to local File systems for data (18:29)
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Build Agent which can read/write to excel file for any given scenario (12:49)
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Setting up Playwright MCP configuration with in VS Code (13:34)
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On single Prompt, create Test Automation Project and build test with locators (10:17)
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Github MCP Server - Magic of commiting files and Code push to Git with Prompts (9:34)
Connect the dots of Sub Agents, Multi Agent collaboration, Agentic AI Solutions
Section 5: Generating Automation Code for API Applications using AI
AI Agents with browse-use - Build AI Driven Test Automation Framework
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Welcome to AI Agents World! (2:01)
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What are AI Agents? How Browser-Use enables Agents for browser automation (10:05)
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browser-use demo & Setup Python & Pycharm IDE to get started with AI Agents (12:33)
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Understand creating AI Agent object with task goal & LLM Intelligence (10:41)
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Setup LLM using Gemini Models and run first AI Agent task for browser automation (12:58)
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Pyndantic Data models to convert AI Agents raw responses to the Test Assertions (11:29)
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How to create custom controller actions to inject playwright code as Plan B (20:39)
Integrate AI into existing Test Automation Frameworks - Playwright Example
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Important Note
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What exactly Integrate AI into Test Framework means? Understand (2:56)
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Setup Playwright Project and integrate AI dependencies for Hybrid Test case (13:48)
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Real time Example on AI Integration with in existing Playwright Test - 1 (8:24)
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Real time Example on AI Integration with in existing Playwright Test - 2 (6:31)
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Code download
Privacy first, offline LLM Models to effortlessly handle your Project Domain
Section 6: Final words - Future of AI
