AI Tester Roadmap

From Quality Assurance to AI Mastery

Ai Tester Roadmap
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AI Tester Roadmap

Python

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Python for Test Automation

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Introduction to AI Tools

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Github

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Selenium for Automated Testing

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Artificial Intelligence in Testing

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API Testing with Postman

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Exclusive Projects for Testers

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Advanced Test Automation Frameworks

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Time It Takes To Complete?

Everyday
≈ 6-7 Months
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AI Tester
Level Achieved!

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AI Tester

Average Salary

$1,21,000 year

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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.
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