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Appium 3 Python Mobile Automation Testing
Rating: 4.2 out of 5(54 ratings)
347 students

Appium 3 Python Mobile Automation Testing

Python from scratch, Appium 3 mobile testing, Android/iOS, Pytest framework, Page Object Model
Created byLucky Trainings
Last updated 9/2026
English
English [Auto],

What you'll learn

  • Master Appium 3 Mobile Automation Testing using Python from beginner to advanced level.
  • Automate both Android and iOS mobile applications with real-world examples.
  • Set up and configure the latest Appium 3 automation framework from scratch.
  • Execute automation tests on real Android devices and real iPhone devices.
  • Learn Python programming concepts required for automation testing.
  • Work with Appium Inspector, mobile locators, desired capabilities, and driver management.
  • Perform advanced mobile gestures, scrolling, swiping, drag-and-drop, and touch actions.
  • Build automation frameworks using Cucumber BDD and the Page Factory Design Pattern.
  • Integrate mobile automation with Jenkins, including Jenkins Master-Slave execution.
  • Execute mobile automation tests on SauceLabs Cloud Platform.
  • Learn AI-driven automation implementation and understand how Artificial Intelligence enhances modern testing workflows
  • Apply industry best practices and prepare for Appium automation interviews with practical examples and interview questions.

Course content

10 sections221 lectures27h 8m total length
  • Overview on AI4:29

    Explore artificial intelligence: a computer system that learns from data, understands language and images, and can write emails, poems, and automation test cases.

  • Overview on AI Part 29:28

    Explore how AI augments human capability with a human in the loop, from Garry Kasparov and Deep Blue to banking forms, testing, and automation use cases.

  • Overview on LLM6:35

    Explore what a large language model is, how it acts like a human brain for AI, training data enables translation, summarization, image generation, and examples with GPT-4, Claude 3, Gemini.

  • Overview on RAG2:14
  • Overview on Generative AI3:15
  • Overview on Memory5:14

    Explore how memory in AI stores and retrieves past interactions to enable meaningful conversations, detailing short-term and long-term memory with chatbot examples.

  • Overview on AI Agent7:52

    This lecture explains AI agents as software programs that pursue a specific goal by using tools, making independent decisions, and coordinating with other agents through perception, planning, acting, and adaptation.

  • Overview on LangChain & LangGraph4:55

    Explore how LangChain connects LLMs to external data via a vector database, and how LangGraph uses a line graph to define AI agent workflows with nodes, edges, states, and checkpoints.

  • Overview on MCP4:39

    Explore the model context protocol (MCP) that standardizes how AI models interact with tools, APIs, databases, and services, acting as a universal adapter.

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

    Explore human in the loop concepts, when artificial intelligence actions require approval, and guardrails that prevent hallucinations and ensure safe, accurate prompts and policies.

  • Overview on Fine-Tuning3:55
  • Overview on Context Part 12:55

    Understand how context shapes outcomes by providing precise information before prompting a language model. Providing context to the LMS improves accuracy of its outputs.

  • Overview on Prompts5:34
  • Overview on Context Part 27:39

    Configure a context file to guide the language model as a tester, enforce framework rules, avoid hallucinations, and generate manual or automation test cases from user stories and UI mockups.

  • Overview on Context Part 33:20
  • Overview on Prompts Part 27:13

    Explore zero-shot, one-shot, few-shot prompts and chain of thoughts, and learn to craft clear context files for automation testing with LLMs.

  • ChatGPT vs Copilot vs CURSOR5:00

    Compare ChatGPT, Copilot, and Cursor as coding assistants for mobile automation testing with Appium and Python, noting Cursor's advanced integration for framework-aligned code.

  • Overview on OpenAI3:08

    Explore how OpenAI pursues artificial general intelligence to benefit humanity, develops shared principles and protocols, and powers products like ChatGPT, Copilot, and DALL-E with GPT models.

  • Overview on AI Models3:56

    Learn how AI models are trained on data to recognize patterns and generate human-like text and images. Distinguish AI models from LLMs as a specialized subset.

  • Overview on n8n workflow6:30
  • Generate API Key in OpenAI1:49
  • Create workflow in n8n10:40

    Create an n8n workflow with a chart trigger and an AI agent using OpenAI GPT-4.1 mini to read a Google sheet, filter Sam, and send an email.

  • Create workflow in n8n Part 27:42

    Create a dynamic email workflow in n8n that reads sheet data, uses an AI agent to select the recipient, and sends emails only when a valid address exists.

  • Create workflow in n8n Part 39:23

    Build and refine an n8n workflow that reads data from sheet two in google sheets, and triggers emails for background verification when status is S, dynamically selecting each user's email.

  • Create account in JIRA for our testing purpose7:10

    Navigate Jira and Zephyr setup for testing by creating an Atlassian account, generating an API token, and configuring a project, boards, and test management.

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

    Learn to build an n8n workflow that reads test data from a sheet and creates Jira issues, including configuring Jira credentials, connecting to cloud Jira, and handling common connection issues.

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

    Demonstrate building an n8n workflow to automatically create Jira bugs from new status entries in the Lucky Trainings project, including credential setup and defect description extraction.

  • Create Public Chat in n8n workflow6:02

    Expose a public chat in an n8n workflow, using a generated URL to interact, while validating a Google Sheets-based defect workflow that creates issues in zero.

  • Overview on OpenAI Tokens4:32
  • CURSOR - Create a Chrome Extension for Record & Playback20:27
  • CURSOR - Create a Chrome Extension for Record & Playback Part 22:11

    Create a chrome extension for recording and playback actions using Cursor AI, generate test scripts in Playwright TypeScript or Selenium Java, and download or clear recorded actions.

  • CURSOR - Create an OTP Shield Mobile APP21:15

    Design an otp shield mobile app that monitors texts, calls, and WhatsApp for OTP prompts, warns users, blocks APK files, and gathers APKs during signup.

  • Overview on GPT4ALL with example14:33
  • Overview on Custom Agent.md file7:08
  • Create Azure Devops Account for testing purpose10:23

    Create an azure dev apps free account, sign in with a microsoft account, and set up an organization and project to enable pipelines that run playwright automation tests.

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

    Create a python-based agent that fetches user story details from azure dev apps, including title, description, acceptance criteria, and mockups, to automatically generate manual test cases.

  • Creating Manual Testcase generator Agent part 314:33

    Generate test cases from a user story using defined rules and action keywords; include end-to-end journeys and edge cases, then save as md drafts viewable in Libby Manual Agent UI.

Requirements

  • No prior experience with Appium or Mobile Automation Testing is required.
  • Basic knowledge of Python programming is helpful but not mandatory, as essential Python concepts are covered in the course.
  • A Windows or macOS computer with internet access
  • An interest in learning Android Automation, iOS Automation, Appium 3, and AI-powered testing.
  • A willingness to practice hands-on examples and build real mobile automation projects.

Description

** Updated with Appium 3, Pytest, Page Objects & AI workflows **


Learn Appium Python mobile automation testing from scratch — Appium 3 setup, Android & iOS automation, Pytest framework, Page Object Model, plugins, real projects, and AI concepts for QA.


This Appium with Python course is built for manual testers, beginners, and QA engineers who want practical mobile automation skills with the latest Appium 3 stack.


What you will learn in this course:

- Python fundamentals required for Appium automation

- Appium 3 features, setup, and configuration

- Android mobile automation with Appium Python

- iOS mobile automation including real device workflows

- Locators, gestures, waits, and validations

- Pytest framework for Appium test suites

- Page Object Model and AI-assisted implementation

- Appium plugins and interview-focused practice topics


Keywords covered in this course:

Appium Python, Appium 3, Appium mobile automation, Python mobile testing, Android automation, iOS automation, Pytest Appium, Page Object Model, Appium framework, real device testing, AI for QA, SauceLabs mobile testing.


This course focuses on hands-on Appium 3 + Python implementation so you can confidently automate Android and iOS apps for projects and interviews.


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


This course contains the use of artificial intelligence.

Master Mobile Automation Testing using Appium 3 with Python and learn how modern Artificial Intelligence (AI) is transforming software testing and automation.

This comprehensive hands-on course is designed for QA engineers, automation testers, SDETs, developers, and beginners who want to learn the latest Appium 3 framework using Python for automating Android and iOS mobile applications.

Starting from the fundamentals, you will gradually build your knowledge of Appium 3 architecture, mobile automation concepts, and Python programming required for automation testing. You will automate both Android and iOS applications using real-world examples and practical exercises.

One of the key highlights of this course is learning how to connect and execute automation tests on real iPhone devices, providing valuable hands-on experience with real device testing. You will also learn cloud execution using SauceLabs, making your automation skills relevant for enterprise projects.

This course introduces modern Artificial Intelligence concepts and demonstrates practical AI-driven implementation to improve automation development, increase productivity, and simplify testing workflows. You'll understand how AI is becoming an essential part of software testing and how to leverage it effectively.

Topics Covered

  • Appium 3 Architecture

  • Latest Appium 3 Features

  • Python for Automation Testing

  • Android Mobile Automation

  • iOS Mobile Automation

  • Real iPhone Device Setup & Execution

  • Appium Inspector

  • Mobile Locators

  • Advanced Mobile Gestures

  • Desired Capabilities

  • Driver Configuration

  • Mobile Automation Framework Design

  • Test Execution and Reporting

  • SauceLabs Integration

  • AI-Driven Automation Implementation

  • AI Concepts for Test Automation

  • Industry Best Practices

  • Real-world Automation Examples

This course focuses on practical learning with step-by-step explanations and hands-on demonstrations to help you build confidence in mobile automation testing.

Whether you're starting your automation journey or upgrading your existing skills, this course will help you master Appium 3, Python, Android Automation, iOS Automation, Real Device Testing, AI-powered automation, and modern testing practices used by leading software companies.

Who this course is for:

  • Manual testers who want to transition into Mobile Automation Testing.
  • QA Engineers and Software Testers looking to master Appium 3 with Python.
  • Automation Engineers and SDETs who want to enhance their mobile automation skills.
  • Developers interested in Android and iOS automation testing.
  • Professionals preparing for Appium automation interviews.
  • Anyone interested in learning Real Device Testing, SauceLabs, Jenkins, Cucumber BDD, and AI-driven automation.
  • Beginners looking for a complete, practical, and industry-focused course on Appium 3 Mobile Automation using Python.