AI Tester Roadmap
From Quality Assurance to AI Mastery
Trusted by
AI Tester Roadmap
Selenium for Automated Testing
Watch Now
- Setting Up Selenium for Web Testing
- Write & Run Automated Test Scripts
- Element Locators (XPath, CSS)
- Pop-ups, Frames, and Windows
- Data-Driven Testing with Selenium
- Parallel Test Execution with Testing
- Best Practices for Automation Frameworks
- 2h 05m
AI Powered Testing Tools
Watch Now
- AI-Powered Test Strategies
- Reusable and Modular Test Design
- Form and API Test Automation
- Visual Testing Techniques
- Handling Test Failures and Reports
- Integration with CI/CD Pipelines
- Cloud and Cross-Platform Testing
- 1h 35m
API Testing with Postman
Watch Now
- Basics of API Testing
- Using Postman for API Requests
- Writing Assertions for API Responses
- Automation with Postman Collections
- API Test Integration with CI/CD
- OAuth, JSON Web Tokens (JWT)
- 0h 31m
AI Powered Performance & Load Testing
Watch Now
- Load Testing with Locust
- High-Performance Testing using Gatling
- Cloud-Based Load Testing with Loader.io
- AI-Driven Test Data and Anomaly Detection
- Building API Test Suites for E-Commerce Platforms
- 10 Real-World Projects in Test Automation
- 3h 45m
ChatGPT-Driven Coding: From Testing to Development
Watch Now
- AI-Powered Functional Testing
- Boundary and Negative Testing
- Robustness and Error Handling
- ChatGPT-Enhanced Test Automation
- AI-Generated Frontend Development
- Automated Backend Code Generation
- App Integration with AI-Generated Code
- Efficient App Deployment with AI Assistance
- 3h 15m
AI Essentials & Prompt Engineering
Watch Now
- Overview of AI-powered tools (ChatGPT, Google Gemini, Claude, Perplexity)
- Basics of prompts: structure and importance
- Comparison of AI tools: strengths and use cases
- Hands-on: Creating your first prompt and evaluating responses
- Different Prompt Types
- Zero Shot, Few Shot & Chain of Thought
- Complex Reasoning
- 1h 05m
Github
Watch Now
- Introduction to Git
- Git Setup
- Basic Commands
- Branching and Merging
- Working with Remotes
- Conflict Resolution
- Git Log and History
- Stashing Changes
- Tagging
- Best Practices
- 1h 20m
Advanced Python
Watch Now
- Data Manipulation With Pandas
- HPC With Numpy
- Using Pandas For Time Series
- Complex Data Transformations
- Memory Management In Python
- Optimization For Code Performance
- Integrating Python With Databases
- Matplotlib And Seaborn
- Scripting For Automation
- Advanced Error Handling Techniques
- 7h 15m
Python
Watch Now
- Variables and basic data types
- Using control structures
- Writing basic scripts and programs
- Error handling and exceptions
- File input/output operations
- Using Python modules and libraries
- Python classes and objects
- Python virtual environments
- Basic debugging techniques
- Writing and executing unit tests
- 9h 15m
AI Tester
Level Achieved!
AI Tester
Average Salary
$1,21,000 year
Concept BASED Learning
Frequently Asked Questions
This roadmap is made to help learners quickly master AI-driven testing methods and automation frameworks without the need for deep coding knowledge. It covers practical tools like ChatGPT, Postman, Applitools, and Robot Framework, enabling testers to improve efficiency and accuracy in their testing workflows.
Ideal for:
- Manual testers who are looking to integrate automation into their testing.
- QA professionals who aim to future-proof their skills.
- Beginners who wan to start with AI-driven testing and low-code tools.
- Testers who want to reduce testing time while maintaining quality.
The roadmap includes:
- AI-driven test case generation using tools like ChatGPT.
- API testing with Postman and AI-powered tools like TestRigor.
- Visual testing and self-healing tests with Applitools.
- Codeless automation frameworks like Robot Framework and Katalon Studio.
- Performance testing basics with tools like JMeter and Locust.
Empower testers to:
- Quickly adopt AI and automation for immediate testing wins.
- Simplify API and performance testing with visual tools.
- Build confidence with practical, real-world projects.
- Future-proof their skills by mastering AI-driven testing tools.
No coding experience is required, just a basic understanding of software testing principles is helpful but it is not mandatory. This ai testing roadmap is designed for testers at all levels, including beginners.
Key tools and frameworks include:
- ChatGPT for test case generation and debugging assistance.
- Postman for visual API testing.
- TestRigor for AI-powered API and UI test case generation.
- Applitools for visual comparison and self-healing tests.
- Robot Framework and Katalon Studio for codeless automation.
- JMeter and Locust for performance testing.
This structured roadmap provide quick wins at each step and can be easily completed in 3 to 4 months. It can also depend on your pace and prior experience.
Projects include:
- Automating a login/logout flow using AI tools.
- Testing API endpoints with Postman.
- Generating test cases for a webpage with ChatGPT.
- Performing visual comparison testing using Applitools.
- Simulating performance tests for web applications using JMeter.
This roadmap focuses on:
- No-code/low-code tools for immediate results.
- Practical, step-by-step projects to build confidence.
- Tools and techniques designed to future-proof testing careers.
Enroll in the AI tester roadmap by visiting the No-Code/Low-Code AI Roadmap for Testers page. Select your plan, and start your journey toward AI-driven testing excellence today.
