AI for Software Testing Online Live Class by Experts
Our Training/Internship Process
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
This syllabus is not final and can be customized as per needs/updates
- Since 2001, Making IT Experts by Experts
- Duration: 60 Hours (Vary as per your skill)
- Course Fees
- Individual Live Classes (1:1)
- Batch Classes @ Low Fees
- Training on Your Time, Any Where
- Access to Recorded Videos
- Practical Internship on Projects
- 100% Placement Support by our jobsHybrid.com
- Training/Internship Certificate
- Agra
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- Kollam
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- Malappuram
- Mangaluru
- Mumbai
- Mysuru
- Nagpur
- Nashik
- Navi Mumbai
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- Pathanamthitta
- Pune
- Punjab
- Salem
- Shimla
- Solapur
- Surat
- Thane
- Thanjavur
- Thirunelveli
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- Thrissur
- Tiruchirappalli
- Tiruppur
- Trivandrum
- Vadodara
- Varanasi
- Vellore
- Vijayawada
- Visakhapatnam
- Wayanad
Course Highlights
Our Locations
Students will learn AI-powered testing techniques, automation frameworks, intelligent test case generation, bug detection, and advanced testing strategies. Our AI for Software Testing Course in Pathanamthitta is a practical 2-month training program designed to help learners understand how Artificial Intelligence can enhance modern software testing and Quality Assurance processes.
. Join our **AI Software Testing Training in Pathanamthitta** to develop industry-ready skills and build a successful career in AI-driven software testing.
This course provides hands-on experience with Generative AI tools, test automation, API testing, AI-based quality analysis, and real-world software testing projects. 
