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AI in Mobile QA
New
Rating: 4.3 out of 5(2 ratings)
228 students

AI in Mobile QA

For QA about AI
New
Created byVladislav Kazachek
Last updated 5/2026
English

What you'll learn

  • Use ChatGPT, Gemini, and AI agents in real QA workflows
  • Analyze requirements, documentation, and UI/UX with AI tools
  • Work with APIs, JSON, SQL, and Logcat without deep coding skills
  • Improve testing efficiency and reduce repetitive manual tasks with AI

Course content

5 sections • 20 lectures • 1h 50m total length

  • Introduction0:37
  • Lesson 1 Why Traditional QA Is Dying? Reducing TTM and a Survival Strategy in IT2:27
  • Test Lessen 1
  • Lesson 2 Evolution of the Role: From "Executor" to "Validator" and Quality Archi2:27
  • Test 2
  • Lesson 3 The QA Delegation Matrix: 5 Criteria for Choosing Tasks for AI7:44
  • Test 3
  • Lesson 4 Shift Left and AI: A Strategy for Testing Requirements and Design Befor2:32
  • Test 4

Requirements

  • No programming experience is required
  • Basic understanding of software testing is helpful but not mandatory

Description

This course contains the use of artificial intelligence.

This course is designed for Manual QA Engineers, Mobile Testers, and IT professionals who want to integrate AI into their daily work and stay competitive in today’s software industry.

What You Will Learn:

  • AI Tools: Use Claude Code, ChatGPT, Gemini, and AI Agents for real-world QA tasks.

  • Requirement Analysis: Find logical gaps and inconsistencies in project documentation.

  • Test Coverage: Improve your testing depth using AI-driven strategies.

  • Design & UI/UX: Conduct UI/UX audits and verify Figma designs.

  • Technical Skills: Work with APIs, JSON, SQL, and Logcat logs more efficiently.

  • Troubleshooting: Investigate app crashes and technical bugs faster.

  • Data Security: Learn how to handle sensitive project data safely.

  • Efficiency: Reduce repetitive manual tasks using AI automation.

Program Overview

The program combines practical knowledge of Android and iOS testing with modern AI workflows used by real product teams. You will cover documentation analysis, visual checks, prompt engineering, and technical troubleshooting through hands-on exercises.

Additional Topics:

  • How the QA role is evolving in the era of Artificial Intelligence.

  • The difference between standard Chatbots and autonomous AI Agents.

  • Strategies for safely delegating tasks to AI.

  • Practical methods to succeed without deep programming skills.

  • How to combine human analytical thinking with AI productivity tools.

By the end of this course, you will understand how to use AI not as a replacement for QA engineers, but as a powerful assistant for faster analysis, smarter testing, and better decision-making.


Who this course is for:

  • Manual QA engineers who want to use AI in daily testing tasks
  • Mobile testers working with Android and iOS applications
  • Junior QA specialists who want stronger technical skills
  • IT specialists interested in AI-assisted testing workflows
  • Beginners exploring modern software testing and AI tools
  • QA engineers who want to improve productivity and analytical skills

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