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Detox React Native Mobile Automation Testing
Rating: 4.9 out of 5(86 ratings)
527 students

Detox React Native Mobile Automation Testing

JavaScript, Detox E2E for React Native, Android & iOS, Jest, Page Objects, AI fundamentals for QA
Created byLucky Trainings
Last updated 8/2026
English
English [Auto],

What you'll learn

  • Understand mobile testing fundamentals and challenges
  • Set up Detox for Android & iOS applications
  • Write end-to-end mobile automation tests using JavaScript
  • Handle gestures, assertions, and test stability in Detox
  • Learn AI fundamentals relevant to software testing
  • Understand how AI is used in test automation and QA tools
  • Gain skills that are in demand for modern QA and automation roles

Course content

5 sections131 lectures14h 25m total length
  • Overview on AI4:29

    Explore how artificial intelligence processes data, learns, and makes human-like decisions, with real-world examples from writing, testing, Siri, Google Maps, and self-driving cars.

  • Course Material2:20

    Explore the Detox mobile automation course materials in a GitHub repo with source code, PowerPoint slides, and JavaScript examples, with pace controls, 24-hour Q&A, and a weekend interactive forum.

  • Overview on AI Part 29:28

    Explore how humans and AI collaborate to boost efficiency while maintaining control, highlighting a human-in-the-loop approach with examples from chess and software testing.

  • Overview on LLM6:35

    Explore how a large language model acts as a human-like brain for AI, trained on vast data to answer questions, translate languages, summarize text, and generate images.

  • Overview on RAG2:14

    Explore retrieval augmented generation (rag) and see how an LLM uses a vector database to fetch embedded knowledge, delivering accurate responses without full retraining.

  • Overview on Generative AI3:15

    Compare traditional AI and generative AI to show how generative AI creates new content such as code, documents, images, audio, and videos.

  • Overview on Memory5:14

    Explore how AI memory stores, retains, and recalls past interactions, contrasting short-term and long-term memory through chatbot and user-session examples.

  • Overview on AI Agent7:52

    Explore the concept of an AI agent, its goal-driven behavior, tools and reasoning, and how it plans, executes, and adapts actions to achieve a task.

  • Overview on LangChain & LangGraph4:55

    Explore LangChain, an open source framework that links LLMs to data via a vector database and chunking, and LangGraph, a memory-driven graphical workflow with nodes, edges, states, and checkpoints.

  • Overview on MCP4:39

    Understand how the model context protocol standardizes tool interactions, acting as a bridge between AI models and external tools for reusable, scalable, and consistent integrations.

  • Overview on Human In the loop , Hallucination & Guardrails8:24

    Explore human in the loop, hallucination, and guardrails in AI agents, and learn how prompts, copilot decisions, and approvals safeguard accuracy and safety.

  • Overview on Fine-Tuning3:55

    Fine-tune an AI agent's internal knowledge to tailor interactions for customers, staff, and leaders. Differentiate this from RAG by updating the system itself, rather than relying on external knowledge.

  • Overview on Context Part 12:55

    Discover how providing a clear context in LMS tasks improves output accuracy by guiding the model with specific information and defined rules.

  • Overview on Prompts5:34

    Explore prompt engineering and the role of clear context in guiding AI responses, with examples showing how detailed prompts prevent hallucinations and enable effective planning.

  • Overview on Context Part 27:39

    Learn to create and attach a context file for the LLM, defining tester roles, enforcing rules, and analyzing acceptance criteria with UI mockups.

  • Overview on Context Part 33:20

    Explore how to define a manual context file, attach it to ChatGPT, and design prompts to drive positive and negative login flow test cases in a generic app.

  • Overview on Prompts Part 27:13

    Explore zero shot, one shot, few shot prompts and the chain of thoughts approach, and learn to craft clear instructions in automation testing context files to guide LLMs effectively.

  • ChatGPT vs Copilot vs CURSOR5:00

    Compare ChatGPT, Copilot, and Cursor as coding assistants for automation testing; Copilot and Cursor integrate with editors to understand existing projects and generate code, while ChatGPT offers general purpose AI.

  • Overview on OpenAI3:08

    Explore how OpenAI underpins ChatGPT, Copilot, and other AI through a mission to benefit humanity, its protocols and collaboration, and the GPT models and DALL-E it develops.

  • Overview on AI Models3:56

    Define AI models as data-trained programs that recognize patterns and generate outputs. Compare LLMs as specialized tools within generative AI, while dalle-e handles image tasks, and GPT generates human-like text.

  • Generate API Key in OpenAI1:49
  • Overview on n8n workflow10:40

    Create an n8n workflow that connects Gmail and Google Drive, reads data from Google Sheets, and uses an AI agent with GPT-4.1 mini to send an email on a match.

  • Create workflow in n8n Part 27:42

    Build an n8n workflow that checks a sheet for an email value, uses an AI prompt to select the recipient, and sends the email.

  • Create workflow in n8n Part 39:23

    Create a workflow in n8n that reads sheet data and automatically emails candidates when their status is S, initiating background verification in a scalable, spreadsheet-driven process.

  • Overview on n8n workflow6:30

    Discover no-code ai workflow automation with n8n, build ai agents and node-based workflows to automate emails and data tasks within a 14-day trial.

  • Create account in JIRA for our testing purpose7:10

    set up a jira workflow that reads excel data to create test cases in zephyr test management and log defects. generate an api token and configure your project for testing.

  • n8n workflow for creating Bugs in JIRA Part 15:58

    Demonstrate an n8n workflow that reads defects from a data sheet and creates Jira issues, configuring credentials and domain while debugging Jira connectivity in a scrum-based project with Zephyr.

  • n8n workflow for creating Bugs in JIRA Part 25:04

    Build an n8n workflow to auto-create bugs in Jira from a sheet, configuring credentials, a generated URL, and a connection test for the Lucky Trainings project.

  • Create Public Chat in n8n workflow6:02

    Enable a public chat in an n8n workflow, generate and test a public URL, and log defects from a sheet into zero using chat prompts and status updates.

  • Overview on OpenAI Tokens4:32

    Explore tokens as the basic units of OpenAI input, where prompts become token counts. Learn how token counts affect processing time, budgets, and rate limits on trial accounts.

  • CURSOR - Create a Chrome Extension for Record & Playback20:27

    learn to build a Chrome extension that records and replays browser actions, generating Playwright TypeScript or Selenium Java scripts via a Cursor AI editor with a guided prompt-driven workflow.

  • CURSOR - Create a Chrome Extension for Record & Playback Part 22:11

    Create a chrome extension for record and playback using Cursor AI, generating Playwright or Selenium scripts in TypeScript, and explore recording, playback, and extension deployment.

  • CURSOR - Create an OTP Shield Mobile APP21:15

    design and build an OTP shield mobile app that monitors text messages, phone calls, WhatsApp messages and WhatsApp calls, warns users not to share OTPs, and blocks APK files.

  • Overview on GPT4ALL with example14:33

    Install and run gpt4all locally to operate offline, privately, on Windows, macOS, or Linux; generate manual test cases and Excel files from documents and summarize content.

  • Overview on Custom Agent.md file7:08
  • Create Azure Devops Account for testing purpose10:23

    Learn to create a free Azure dev apps account, sign in with a Microsoft account, and set up an organization and project to enable pipelines for playwright-based automation testing.

  • Creating Manual Testcase generator Agent part 113:52
  • Creating Manual Testcase generator Agent part 210:42

    Create a test case generator agent that fetches user story details from azure dev apps with a python program, extracting title, description, acceptance criteria, and storing ui mockups as screenshots.

  • Creating Manual Testcase generator Agent part 314:33

Requirements

  • Basic understanding of software testing concepts
  • Basic JavaScript knowledge is helpful but not mandatory
  • Willingness to learn mobile automation from scratch
  • A Mac system is recommended for iOS testing (Android users can still follow most parts)

Description

** Updated with Detox mobile automation & AI fundamentals for QA **


Learn Detox mobile automation testing with JavaScript — React Native E2E testing, Android & iOS automation, Jest, Page Object Model, and AI fundamentals for modern testers.


This Detox course is built for beginners, manual testers, and QA engineers who want practical React Native mobile automation skills from scratch.


What you will learn in this course:

- JavaScript fundamentals required for Detox automation

- Detox setup and project configuration

- Detox matchers, actions, and assertions

- React Native E2E mobile testing workflows

- Android automation with Detox

- iOS-focused Detox practices and synchronization concepts

- Writing stable, maintainable Detox test suites

- AI fundamentals relevant to modern QA and automation


Keywords covered in this course:

Detox, Detox mobile automation, Detox React Native, React Native E2E testing, Detox JavaScript, Android automation, iOS automation, mobile automation testing, Jest Detox, Page Object Model, AI for QA.


This course focuses on hands-on Detox implementation so you can confidently automate React Native apps on Android and iOS for projects and interviews.


If you are searching for Detox mobile automation, Detox React Native, Detox JavaScript, or React Native E2E testing training, this course is for you.


This course is designed for QA testers and automation engineers who want to start mobile automation using Detox with JavaScript and gain a solid understanding of AI fundamentals for testing. Starting completely from scratch, you will learn how to set up Detox, write reliable end-to-end mobile tests, handle real-world test scenarios, and integrate best automation practices.


Along with automation, this course introduces AI basics, AI terminology, and how AI is transforming modern testing, helping you stay relevant in an AI-driven QA landscape. By the end of the course, you’ll be confident in building scalable mobile automation frameworks and understanding how AI concepts apply to testing workflows.


Topics we are covering as part of this course:

  • Introduction to Javascript

  • Javascript Configuration on Windows  MAC

  • Overview on Console.log() & Hello World Program

  • Overview on Variables, Comments, Constants, Datatypes, Operators with examples

  • Conditional, Looping, break, continue, switch Statements, Functions, Anonymous, Arrow , Objects with examples

  • Arrays, forEach, class, object, constructor & methods

  • Introduction to Detox

  • Detox vs Appium vs XCUITest

  • Detox- Gray Box Testing

  • Environment Setup for Detox

  • Creating a project for Detox

  • Configuring project with Detox

  • Overview on JEST

  • Jest describe, beforeAll, afterAll, beforeEach , afterEach with examples

  • Overview on Promise, async & await

  • Element identification using Accessibility Inspector

  • Update reinstallApp configuration in detox configuration file

  • Launch already installed apps using detox

  • Identify an element using it label - example on by.label() method

  • Identify an element using it text - example on by.text() method

  • capture element information using getAttributes()

  • capture all elements information using getAttributes()

  • Identify an element using it index - example on atIndex() method

  • Identify an element using by.traits([traits]) & and(matcher)

  • Identify an element using withAncestor(matcher)

  • Performing Tap on element

  • Performing Tap on element using coordinates

  • How to open app source in xcode and identify locators

  • Performing MultiTap on element

  • Performing LongPress on element

  • Performing Swipe Operation - Left, Right, Up & Down

  • Performing Pinch Operation

  • Performing Scroll Operation - top , bottom, left & right

  • Handling text fields - tapBackspaceKey, replaceText, clearText, tapReturnKey

  • Capture Screenshot

  • Performing Slider on element using adjustSliderToPosition

  • Handling DatePicker using setDatePickerDate

  • Overview on Device object & commands

  • Expect - toBeVisible(), toExist() , toHaveText(), toHaveLabel(), toHaveId(), toHaveValue(), waitFor(), withTimeout(), toBeFocused()  with examples


Who this course is for:

  • Manual testers looking to move into automation
  • QA engineers and automation testers
  • Testers interested in learning Detox mobile automation
  • Professionals who want to understand AI fundamentals in testing
  • Freshers and job seekers preparing for QA/automation roles
  • Anyone who wants to future-proof their testing career with AI awareness