Course Description
Course last Updated -August 2025 with topic : Claude Code - The Power of AI at terminal level
Eager to learn and catch up with all the AI stuff? - You are at right place . This AI Testing course is designed to be your ideal companion, teaching how to use AI applications for your daily testing needs.
Firstly, we will start with basic understanding of what AI Applications, Large language models & AI Agents are! And then we deep dive into course content as three learning phases:
Below is breakup
Module 1. Use of Generative AI for Testing
How to Generate Test plan, Test Data, Test cases, UI Automation codes
Module 2. AI Agents to drive Test Automation ~~ Slightly Technical
Module 3. AI powered Testing tools
What you'll learn
- Learn how to use Gen AI LLM's effectively to maximize your QA Productivity with smart prompt engineering skills
- Understand how to Generate & optimize the Test code into framework standards with Gen AI Plugins such as Github copilot etc
- Get overview of AI Powered Testing tools in current market and their capabilities for revolutionizing Test Automtion
- Learn how AI Agents work and how they can be used to perform Codeless browser Automation with help of LLM's
- Understand how to work with offline LLM's with full privacy and customize the LLM as per your project requirements
- Learn generating Test Artifacts in fly such as TestPlan, Testcases, TestData, Bug templates for given Business requirements
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Learn generating API Automation tests to framework level & SQL Queries with simple prompting to AI
Course Curriclum
Section 1: Introduction to AI Testing terminologies
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Prompt Engineering - Understand 3 C's - Context, Constraints, Clarity
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- Important Note
- Why Prompt Engineering matters? - Mastering it is an Art. (6:04)
- Adding Constraints to leverage Zero shot prompting for better AI results (9:19)
- Practice scenarios for crafting prompts better & Few shot prompting technique (6:09)
- 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)
- Understand how Context Window Limit works - Tips to save tokens (6:53)
- Generating Test Plan for the Project business requirements using AI (13:15)
- Generating Test Cases for the requirements using AI (10:11)
- Generating Test Strategy (Shift Left Testing) with the given Test cases using AI (9:11)
- Generate Test Data combinations for the given tests using AI (10:19)
Effortlessly Generate Automation Code for Selenium, Playwright, Cypress using AI
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GitHub Copilot extension for Visual Studio Code - Tips & Tricks
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Section 4: Introduction to AI Powered exclusive Testing tools
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- Understanding the capabilities of AI powered Testing tools (13:06)
- Introduction to TestRigor AI tool and its features on creating Tests using AI (12:30)
- Generating Automatic Test cases on fly with the english requirements (13:44)
- Understanding Scripting language of Test Rigor with a demo test (21:25)
- 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)
- Resources to download
- Build Agent which automates web browser using Playwright/Selenium MCP Servers (14:36)
- Build Agent which can extract data from SQL database by framing complex queries (23:40)
- Build Agent which can perform API Testing & talk to local File systems for data (18:29)
- Build Agent which can read/write to excel file for any given scenario (12:49)
- Setting up Playwright MCP configuration with in VS Code (13:34)
- On single Prompt, create Test Automation Project and build test with locators (10:17)
- Github MCP Server - Magic of commiting files and Code push to Git with Prompts (9:34)
Section 5: Generating Automation Code for API Applications using AI
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AI Agents with browse-use - Build AI Driven Test Automation Framework
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- Welcome to AI Agents World! (2:01)
- What are AI Agents? How Browser-Use enables Agents for browser automation (10:05)
- browser-use demo & Setup Python & Pycharm IDE to get started with AI Agents (12:33)
- Understand creating AI Agent object with task goal & LLM Intelligence (10:41)
- Setup LLM using Gemini Models and run first AI Agent task for browser automation (12:58)
- Pyndantic Data models to convert AI Agents raw responses to the Test Assertions (11:29)
- 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
- What exactly Integrate AI into Test Framework means? Understand (2:56)
- Setup Playwright Project and integrate AI dependencies for Hybrid Test case (13:48)
- Real time Example on AI Integration with in existing Playwright Test - 1 (8:24)
- Real time Example on AI Integration with in existing Playwright Test - 2 (6:31)
- Code download
Privacy first, offline LLM Models to effortlessly handle your Project Domain
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Section 6: Final words - Future of AI
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This course includes:
- 10.5 hours on-demand video
- Assignments
- 6 articles
- 4 downloadable resources
- Access on mobile and TV
- Certificate of completion
Pioneering
Embark on the Cutting-Edge of Automation with Generative AI in Software Testing
Comprehensive
Mastering the Full Spectrum of Generative AI Applications in Quality Assurance
Innovative
Transforming Software Quality with Next-Generation AI Testing Techniques
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