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Appium with Java - Android & iOS Testing
Bestseller
Highest Rated
Rating: 4.5 out of 5(74 ratings)
801 students

Appium with Java - Android & iOS Testing

Java from scratch, Appium 3 mobile testing, Android/iOS, Page Object Model, TestNG & frameworks
Created byLucky Trainings
Last updated 8/2026
English
English [Auto],

What you'll learn

  • Master Appium 3 mobile automation from basics to advanced
  • Automate Android and iOS mobile applications
  • Execute tests on real Android and real iPhone devices
  • Implement Cucumber BDD and Page Factory frameworks
  • Work with advanced gestures and mobile interactions
  • Integrate Appium automation with Jenkins and SauceLabs
  • Understand Jenkins master-slave execution setup
  • Learn Java concepts required for automation testing
  • Explore AI concepts and AI implementation in Mobile automation testing
  • Prepare for Appium automation interviews with real interview questions and answers

Course content

9 sections195 lectures23h 36m total length
  • Overview on AI4:29

    Gain a practical overview of artificial intelligence, from data-trained systems that think and learn like humans to AI writing, image recognition, and automated testing across everyday apps.

  • Overview on AI Part 29:28
  • Overview on LLM6:35

    Explore how a large language model works as a brain for AI, trained on vast data to translate, answer, summarize, or generate images, with GPT-4, Claude 3, Gemini, and Lamda.

  • Overview on RAG2:14
  • Overview on Generative AI3:15

    Explore how generative AI differs from traditional AI by creating new content, including code, documents, images, audio, and video, based on massive training data.

  • Overview on Memory5:14

    Explore how AI memory stores, retains, and recalls past interactions, distinguishing short-term memory from long-term memory and enabling chatbots to recall conversations across sessions.

  • Overview on AI Agent7:52

    Explore how an AI agent, a software program built on artificial intelligence, achieves a goal by using tools, making independent decisions, and coordinating with other agents.

  • Overview on LangChain & LangGraph4:55

    Explore LangChain and LangGraph, explaining retrieval augmented generation with a vector database, data loading, chunking, embedding, and storing for LLMs; visualize AI agents as a nodes-edges-states-checkpoint line graph workflow.

  • Overview on MCP4:39

    Learn how the model context protocol (MCP) standardizes how an AI model communicates with tools, APIs, databases, and services, acting as a bridge and adapter to enable reusable, scalable integrations.

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

    Learn the human in the loop concept, when AI should seek human approval, and how guardrails and prompts curb hallucinations to prevent unsafe or wrong actions.

  • Overview on Fine-Tuning3:55

    Understand fine tuning as adjustments to an AI agent’s knowledge and interaction style, enabling role specific conversations for customers, staff, and executives, and contrast it with RAG in banking contexts.

  • Overview on Context Part 12:55

    Learn how providing context to a language model improves output accuracy and relevance. Explore an analogy of briefing a guest to show how precise information guides the model.

  • Overview on Prompts5:34

    Learn prompt engineering by defining prompts with clear context to avoid hallucinations and guide AI responses; see how precise inputs shape plans, such as trip bookings.

  • Overview on Context Part 27:39

    Set an LLM context via a text file to act as a tester, then generate manual or automation test cases from user stories, criteria, and UI mockups.

  • Overview on Context Part 33:20

    Define automated test context with a manual context file and prompt-driven instructions to guide ChatGPT through a generic login flow, covering positive and negative test scenarios.

  • Overview on Prompts Part 27:13

    Explore zero-shot, one-shot, and few-shot prompts and chain of thought reasoning in automation testing, learning how context files and clear instructions drive accurate LLM outputs.

  • ChatGPT vs Copilot vs CURSOR5:00

    Contrast ChatGPT, Copilot, and Cursor; ChatGPT is a general purpose AI, while Copilot and Cursor are coding assistants, with Cursor offering deeper integration for your automation testing projects.

  • Overview on OpenAI3:08

    Discover how OpenAI powers ChatGPT and Copilot with GPT models, explores DALL-E image generation, and develops public principles and protocols for advancing AI.

  • Overview on AI Models3:56
  • Overview on n8n workflow6:30

    Discover how to create ai-powered automation with n8n, building no-code workflows to automate emails, data handling, and ai-enabled agents during a 14-day trial.

  • Generate API Key in OpenAI1:49

    Sign up on platform.openai.com, create a new API key named 'my first API key', copy and paste it to connect AI agents used in your automation projects.

  • Create workflow in n8n10:40

    Create a simple n8n workflow that connects Gmail and Google Drive, reads data from Google Sheets, and uses an ai agent to trigger an email on matches.

  • Create workflow in n8n Part 27:42

    Create an n8n workflow that reads a sheet, checks for a user, and sends email to the model-defined recipient at runtime, with OpenAI integration and error handling for invalid addresses.

  • Create workflow in n8n Part 39:23

    Read a Google Sheets based n8n workflow that triggers background verification emails when candidate status is 'S', pulling data from sheet two and sending updates to multiple recipients.

  • Create account in JIRA for our testing purpose7:10

    Demonstrates automating a jira-based testing workflow by reading from excel to create test cases or defects, and integrating zephyr test management with a jira cloud setup.

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

    Learn to build an n8n workflow that pulls new defects from a data sheet and creates Jira issues, including configuring credentials and debugging connection issues with Jira cloud.

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

    Utilize an n8n workflow to create Jira bugs from sheet data, validating credentials and URLs, and automatically generate defects for new items in the Lucky Trainings project.

  • Create Public Chat in n8n workflow6:02

    Enable a public chat in an n8n workflow by generating a shareable url and mapping sheet three to create defects in zero based on status and defect columns.

  • Overview on OpenAI Tokens4:32

    Discover how OpenAI tokens are the fundamental input units, with about four characters per token, guiding prompts, processing time, cost, and budget and rate limits on trial accounts.

  • Github Copilot extension to eclipse editor3:12

    Install GitHub Copilot extension in the Eclipse editor from the Eclipse Marketplace, sign in and authorize GitHub, then use Copilot’s window to ask questions and get auto-suggestions or full code.

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

    Explore building a Chrome extension for record and playback using an ai powered code editor, generating Playwright TypeScript or Selenium Java scripts with prompt-driven setup.

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

    Create a chrome extension for record and playback that generates Playwright TypeScript or Selenium Java scripts from captured actions, with a downloadable test script.

  • CURSOR - Create an OTP Shield Mobile APP21:15

    Develop an OTP shield mobile app that monitors SMS, calls, and WhatsApp for OTP requests, warns users, and blocks APK delivery while guiding secure signup.

  • Overview on GPT4ALL with example14:33

    Explore gpt for all, an open source desktop app that runs llms locally offline for private use; download, configure a model, and generate manual test cases and documentation summaries.

  • Overview on Custom Agent.md file7:08

    Learn how to create local agents beyond NA10 to generate manual test cases and automation scripts from story or test case IDs, integrated with Azure or Jira.

  • Create Azure Devops Account for testing purpose10:23
  • Creating Manual Testcase generator Agent part 113:52
  • Creating Manual Testcase generator Agent part 210:42
  • Creating Manual Testcase generator Agent part 314:33
  • Update on next AI videos0:49

    Jump into apm concepts for Appium 3 mobile automation and explore AI driven implementation, including a new end section on using GitHub Copilot to write code for our apm framework.

Requirements

  • Basic computer knowledge
  • Java knowledge is helpful but not mandatory
  • Interest in automation testing and mobile testing

Description

** Updated with Appium 3, Java frameworks, Jenkins, SauceLabs & AI workflows **


Learn Appium mobile automation with Java — Appium 3 setup, Android & iOS automation, TestNG, Page Factory frameworks, real devices, Jenkins, SauceLabs, and AI-assisted testing concepts.


This Appium Java course is built for manual testers, beginners, and QA engineers who want practical Android and iOS automation skills with the Appium 3 + Java stack.


What you will learn in this course:

- Java concepts required for Appium automation

- Appium 3 features, configuration, and architecture

- Android mobile automation with Appium Java

- iOS mobile automation including real iPhone execution

- Advanced gestures and mobile interactions

- TestNG fundamentals for mobile frameworks

- Page Factory / Cucumber BDD framework implementation

- Appium plugins, Jenkins, SauceLabs, and interview Q&A

- AI concepts and AI-assisted mobile automation workflows


Keywords covered in this course:

Appium Java, Appium 3, Appium mobile automation, Android automation, iOS automation, Appium TestNG, Page Factory Appium, Cucumber Appium, Jenkins Appium, SauceLabs, real device testing, Java mobile testing, AI for QA.


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


If you are searching for Appium Java, Appium 3, Appium Android iOS, or Java mobile automation testing training, this course is for you.


This course contains the use of artificial intelligence.

Master Mobile Automation Testing using Appium 3 with real-world Android and iOS automation examples along with modern AI concepts and AI-assisted automation workflows.

This complete hands-on course is designed for testers, automation engineers, SDETs, and developers who want to learn the latest Appium 3 mobile automation framework from basics to advanced concepts using Java.

You will learn how to automate both Android and iOS mobile applications using Appium 3 with multiple practical examples and real-time automation scenarios. The course also covers real iPhone device connection and execution, helping you gain practical industry-level experience in mobile testing.

Along with Appium automation, this course also introduces modern Artificial Intelligence concepts and demonstrates how AI can improve automation workflows and testing productivity.

Topics Covered in This Course

  • Appium 3 architecture and latest concepts

  • Android mobile automation

  • iOS mobile automation

  • Real iPhone device setup and execution

  • Mobile gestures and advanced touch actions

  • Appium Inspector and all inspector options

  • Desired capabilities and driver setup

  • Mobile locators and automation strategies

  • Java programming concepts for automation

  • Cucumber BDD framework implementation

  • Page Factory and framework concepts

  • Jenkins integration and Jenkins master-slave setup

  • SauceLabs cloud execution

  • Test execution and reporting

  • Interview questions and answers for Appium automation

AI Concepts Covered

  • Introduction to Artificial Intelligence

  • Generative AI fundamentals

  • AI implementation in automation testing

  • AI-assisted automation workflows

  • Modern AI tools for testers and developers

This course focuses heavily on practical learning with step-by-step explanations and real-world examples to help you build strong mobile automation skills using the latest Appium 3 ecosystem.

If you want to become a modern mobile automation engineer with knowledge of Android automation, iOS automation, Appium 3, AI concepts, Jenkins, SauceLabs, and framework design, this course will provide a strong foundation aligned with current industry standards.

Who this course is for:

  • Manual testers moving into automation testing
  • Mobile automation engineers
  • QA engineers and SDETs
  • Developers interested in mobile automation
  • Beginners who want to learn Android and iOS testing
  • Anyone interested in Appium 3, AI concepts, Jenkins, and SauceLabs