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Detox Mobile Automation with JavaScript & AI Fundamentals
Highest Rated
Rating: 4.8 out of 5(82 ratings)
401 students

Detox Mobile Automation with JavaScript & AI Fundamentals

Detox mobile automation with JavaScript and AI fundamentals, JavaScript & AI basics, Detox mobile automation
Created byLucky Trainings
Last updated 6/2026
English

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 sections127 lectures13h 32m total length
  • Overview on AI4:29
  • Course Material2:20
  • Overview on AI Part 29:28
  • Overview on LLM6:35
  • Overview on RAG2:14
  • Overview on Generative AI3:15
  • Overview on Memory5:14
  • Overview on AI Agent7:52
  • Overview on LangChain & LangGraph4:55
  • Overview on MCP4:39
  • Overview on Human In the loop , Hallucination & Guardrails8:24
  • 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
  • Overview on Prompts5:34
  • Overview on Context Part 27:39
  • Overview on Context Part 33:20
  • 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
  • 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
  • Create account in JIRA for our testing purpose7:10
  • 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
  • Create Public Chat in n8n workflow6:02
  • 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
  • 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

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

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