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Appium 3 with Python & AI - Mobile Automation Testing
Rating: 4.2 out of 5(53 ratings)
337 students

Appium 3 with Python & AI - Mobile Automation Testing

Master Appium 3 with Python, Android, iOS, AI, Real iPhone Testing, SauceLabs and Mobile Automation
Created byLucky Trainings
Last updated 7/2026
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
  • Overview on LLM6:35
  • Overview on RAG2:14
  • Overview on Generative AI3:15
  • Overview on Memory5:14
  • 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
  • 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
  • Overview on Fine-Tuning3:55
  • Overview on Context Part 12:55
  • 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
  • ChatGPT vs Copilot vs CURSOR5:00
  • 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
  • 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
  • Overview on GPT4ALL with example14:33
  • Overview on Custom Agent.md file7:08
  • 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

    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

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.