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AI for Software Testing Online Live Classes in Reading | Free Demo Training

AI for Software Testing - Syllabus, Fees & Duration

Introduction

The AI for Software Testing course is a 2-month practical training program designed to teach how Artificial Intelligence improves software testing processes. Students will learn AI-powered testing techniques, automation frameworks, intelligent test case generation, bug detection, and modern quality assurance practices.

Course Syllabus

Month 1: Software Testing Fundamentals & AI Introduction

Introduction to Software Testing

  • Introduction to Software Testing
  • Software Development Life Cycle (SDLC)
  • Software Testing Life Cycle (STLC)
  • Software Testing Principles
  • Manual Testing Fundamentals
  • Test Planning and Documentation
  • Defect Life Cycle
  • Bug Reporting and Tracking

Testing Methodologies

  • Functional Testing
  • Non-Functional Testing
  • Regression Testing
  • Smoke Testing
  • Sanity Testing
  • Integration Testing
  • System Testing
  • User Acceptance Testing (UAT)
  • Agile Testing Methodology

Test Automation Fundamentals

  • Introduction to Test Automation
  • Automation Testing Benefits
  • Test Automation Frameworks
  • Test Script Development
  • Selenium Automation Overview
  • Web Application Testing
  • API Testing Fundamentals

Introduction to AI in Software Testing

  • Introduction to Artificial Intelligence
  • Role of AI in Software Testing
  • AI-Based Testing Approaches
  • Machine Learning in Quality Assurance
  • Generative AI for Testers
  • AI Testing Tools Overview

Month 2: AI-Powered Testing & Automation

AI-Based Test Case Generation

  • Creating Test Cases Using AI
  • AI-Based Test Scenario Generation
  • Automated Test Data Generation
  • Requirement Analysis Using AI
  • Test Documentation Automation
  • AI-Assisted Test Planning

AI Testing Tools

  • ChatGPT for Software Testing
  • GitHub Copilot for Test Automation
  • AI Testing Platforms Overview
  • Intelligent Test Execution
  • Self-Healing Test Automation
  • AI-Based Bug Detection

Automation Framework Development

  • Selenium with AI Assistance
  • Automated Web Testing
  • API Testing Automation
  • Test Script Optimization
  • Automated Test Reporting
  • Continuous Testing Workflows

AI in Quality Assurance

  • AI-Based Defect Prediction
  • Risk-Based Testing Using AI
  • Performance Testing with AI
  • Security Testing Overview
  • AI-Driven QA Workflows
  • Continuous Integration and Testing

Final Projects

  • AI Test Case Generator Project
  • Automated Web Testing Project
  • AI Bug Detection System
  • API Testing Automation Project
  • End-to-End AI Testing Workflow

Tools and Technologies

  • Artificial Intelligence
  • Generative AI
  • ChatGPT
  • GitHub Copilot
  • Selenium
  • Postman
  • JIRA
  • Python
  • Java
  • CI/CD Tools
  • AI Testing Tools

Download Syllabus - AI for Software Testing
This syllabus is not final and can be customized as per needs/updates
   
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AI for Software Testing Jobs in Reading

Enjoy the demand

Find jobs related to AI for Software Testing in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri, jobsNEAR.in, indeed.co.in, shine.com etc.) based in Reading, chennai and europe countries. You can find many jobs for freshers related to the job positions in Reading.

  • AI Software Tester
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  • Software Test Engineer
  • AI Testing Specialist
  • Quality Assurance Engineer
  • Test Automation Developer
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TechnoMaster is making AI for Software Testing experts

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AI for Software Testing Internship/Course Details

AI for Software Testing internship jobs in Reading
AI for Software Testing Join our **AI Software Testing Training in Reading** to develop industry-ready skills and build a successful career in AI-driven software testing. Our AI for Software Testing Course in Reading is a practical 2-month training program designed to help learners understand how Artificial Intelligence can enhance modern software testing and Quality Assurance processes. Students will learn AI-powered testing techniques, automation frameworks, intelligent test case generation, bug detection, and advanced testing strategies. This course provides hands-on experience with Generative AI tools, test automation, API testing, AI-based quality analysis, and real-world software testing projects. .

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