.svg)
Is I.T. Certification Training Right For You?
The Software QA Testing with AI Training Course is an intensive, hands-on program designed to transform traditional manual and automation testers into high-demand AI-Powered Quality Engineers. As software development evolves, top enterprises are rapidly adopting AI-driven testing workflows to accelerate releases and maximize quality.
In this 48-hour course, you will learn to integrate generative AI tools—including ChatGPT, GitHub Copilot, Postman AI, and Jira AI—across every phase of the Software Testing Lifecycle (STLC). You will master Prompt Engineering, automated test scenario generation, self-healing Selenium scripts, AI-assisted API and database validations, and real-time executive dashboard reporting using Power BI and Tableau.
Through 12 practical modules and an enterprise capstone project, you will build a complete, production-ready AI testing solution—equipping you with the advanced skills needed to lead quality engineering teams in today's tech landscape.
Demand for AI-Skilled Engineers: Tech leaders and enterprise organizations are heavily investing in AI-driven testing workflows to shorten release cycles and optimize QA costs.
Increased Efficiency & Productivity: AI-assisted testing enables engineers to analyze requirements, write complex SQL scripts, and build regression suites in a fraction of the traditional time.
End-to-End Workflow Mastery: Gain hands-on capability to apply AI across the complete software testing lifecycle—from requirement analysis to executive dashboard reporting.
Capstone Project
Participants build a complete AI-powered QA solutionthat includes:
Learning Resources
Sample Datasets
Prompt Library
If you want to kick-start your career in the IT field or grow from being a traditional manual or automation tester into an AI-Powered Quality Engineer, this course is designed for you. Organizations are rapidly transforming their software delivery pipelines, making artificial intelligence essential for modern QA. By integrating AI into testing, teams can generate test cases faster, automate script creation, auto-heal broken test locators, and build real-time analytics dashboards. Unlike standard manual testing or traditional automation tools alone, AI-assisted QA drastically reduces script maintenance, optimizes bug triage, and improves release readiness tracking. Whether you are looking to enhance your productivity or build enterprise-ready QA workflows, mastering AI in software testing will give you a decisive edge in the tech industry.
Mastering AI-driven QA opens pathways across tech-forward enterprise roles:
Role Avg Salary
Entry-Level AI QA Engineer (0–2 Years) $60,000 – $84,000 / year
Mid-Level AI QA Engineer (2–5 Years) $85,000 – $130,000 / year
Senior AI QA Engineer / Lead (5+ Years) $130,000 – $175,000+ / year
National Average Salary (Mid-Career) $112,000 – $125,000 / year
An AI-powered software tester integrates generative AI tools and machine learning models into every phase of the testing lifecycle. Rather than manually writing every test script or test case from scratch, they utilize AI to analyze requirements, generate edge-case scenarios, auto-heal broken test scripts, analyze database integrity, and build real-time visual dashboards for management.
AI is fundamentally transforming software development and testing. Organizations are shifting away from slow, manual QA processes toward AI-driven quality engineering. Mastering AI capabilities like prompt engineering, automated script generation, and smart defect triage allows quality engineers to execute comprehensive testing in significantly less time, making them highly valuable assets in today’s job market.
Traditional Test Automation:
• Requires manual creation of element locators and scripts from scratch.
• Brittle scripts that break easily when UI elements or dynamic attributes change.
• Requires significant maintenance time to keep test suites functional.
• Limited to executing pre-defined logic and static assertions.
AI-Assisted Test Automation:
• Utilizes AI tools to auto-generate locators and test scripts from plain language requirements.
• Features self-healing automation to automatically detect and adapt to UI changes.
• Drastically reduces script maintenance and accelerates overall script development.
• Provides predictive defect analysis and intelligent coverage recommendations.
No, prior programming experience is not strictly required. Basic software testing concepts are helpful, but the course teaches you how to leverage AI tools to generate scripts, write SQL queries, and build automation without needing advanced development skills from day one.
Yes, the course includes job placement assistance. You will build an enterprise-ready capstone project for your portfolio and receive guidance on resume building, interview preparation, and connecting with hiring employers.
Why Choose Global IT
• Established since 1999
• Instructor-led real-world training
• Flexible schedules (Evening / Weekend)
• Career-focused curriculum
• Veteran & workforce-friendly programs
You can contact Global Information Technology (Global IT) through multiple channels:
• Phone: Call our admissions team for immediate assistance Toll Free: (866)-GO-GIT-GO Office: (248) 557-2480
• Email: Send your inquiry and receive detailed course guidance info@global-itech.com
• Website: Submit the inquiry form on our official website www.global-itech.com
• Visit: Walk into our training center for in-person consultation https://maps.app.goo.gl/GUML2SCaAYEV4SjKA
Our team will guide you through course selection, schedules, and career pathways.
Yes. Global IT offers free consultation sessions to help you make the right decision.
During the consultation, we will:
• Understand your career goals
• Recommend the best training path
• Explain certification benefits and job opportunities
• Provide course schedules and pricing options
You can schedule your consultation via phone, email, or website inquiry form
The Software QA Testing with AI Training Course is an intensive, hands-on program designed to transform traditional manual and automation testers into high-demand AI-Powered Quality Engineers. As software development evolves, top enterprises are rapidly adopting AI-driven testing workflows to accelerate releases and maximize quality.
In this 48-hour course, you will learn to integrate generative AI tools—including ChatGPT, GitHub Copilot, Postman AI, and Jira AI—across every phase of the Software Testing Lifecycle (STLC). You will master Prompt Engineering, automated test scenario generation, self-healing Selenium scripts, AI-assisted API and database validations, and real-time executive dashboard reporting using Power BI and Tableau.
Through 12 practical modules and an enterprise capstone project, you will build a complete, production-ready AI testing solution—equipping you with the advanced skills needed to lead quality engineering teams in today's tech landscape.
Demand for AI-Skilled Engineers: Tech leaders and enterprise organizations are heavily investing in AI-driven testing workflows to shorten release cycles and optimize QA costs.
Increased Efficiency & Productivity: AI-assisted testing enables engineers to analyze requirements, write complex SQL scripts, and build regression suites in a fraction of the traditional time.
End-to-End Workflow Mastery: Gain hands-on capability to apply AI across the complete software testing lifecycle—from requirement analysis to executive dashboard reporting.
If you want to kick-start your career in the IT field or grow from being a traditional manual or automation tester into an AI-Powered Quality Engineer, this course is designed for you. Organizations are rapidly transforming their software delivery pipelines, making artificial intelligence essential for modern QA. By integrating AI into testing, teams can generate test cases faster, automate script creation, auto-heal broken test locators, and build real-time analytics dashboards. Unlike standard manual testing or traditional automation tools alone, AI-assisted QA drastically reduces script maintenance, optimizes bug triage, and improves release readiness tracking. Whether you are looking to enhance your productivity or build enterprise-ready QA workflows, mastering AI in software testing will give you a decisive edge in the tech industry.
Mastering AI-driven QA opens pathways across tech-forward enterprise roles:
Role Avg Salary
Entry-Level AI QA Engineer (0–2 Years) $60,000 – $84,000 / year
Mid-Level AI QA Engineer (2–5 Years) $85,000 – $130,000 / year
Senior AI QA Engineer / Lead (5+ Years) $130,000 – $175,000+ / year
National Average Salary (Mid-Career) $112,000 – $125,000 / year
Capstone Project
Participants build a complete AI-powered QA solutionthat includes:
Learning Resources
Sample Datasets
Prompt Library
An AI-powered software tester integrates generative AI tools and machine learning models into every phase of the testing lifecycle. Rather than manually writing every test script or test case from scratch, they utilize AI to analyze requirements, generate edge-case scenarios, auto-heal broken test scripts, analyze database integrity, and build real-time visual dashboards for management.
AI is fundamentally transforming software development and testing. Organizations are shifting away from slow, manual QA processes toward AI-driven quality engineering. Mastering AI capabilities like prompt engineering, automated script generation, and smart defect triage allows quality engineers to execute comprehensive testing in significantly less time, making them highly valuable assets in today’s job market.
Traditional Test Automation:
• Requires manual creation of element locators and scripts from scratch.
• Brittle scripts that break easily when UI elements or dynamic attributes change.
• Requires significant maintenance time to keep test suites functional.
• Limited to executing pre-defined logic and static assertions.
AI-Assisted Test Automation:
• Utilizes AI tools to auto-generate locators and test scripts from plain language requirements.
• Features self-healing automation to automatically detect and adapt to UI changes.
• Drastically reduces script maintenance and accelerates overall script development.
• Provides predictive defect analysis and intelligent coverage recommendations.
No, prior programming experience is not strictly required. Basic software testing concepts are helpful, but the course teaches you how to leverage AI tools to generate scripts, write SQL queries, and build automation without needing advanced development skills from day one.
Yes, the course includes job placement assistance. You will build an enterprise-ready capstone project for your portfolio and receive guidance on resume building, interview preparation, and connecting with hiring employers.
Why Choose Global IT
• Established since 1999
• Instructor-led real-world training
• Flexible schedules (Evening / Weekend)
• Career-focused curriculum
• Veteran & workforce-friendly programs
You can contact Global Information Technology (Global IT) through multiple channels:
• Phone: Call our admissions team for immediate assistance Toll Free: (866)-GO-GIT-GO Office: (248) 557-2480
• Email: Send your inquiry and receive detailed course guidance info@global-itech.com
• Website: Submit the inquiry form on our official website www.global-itech.com
• Visit: Walk into our training center for in-person consultation https://maps.app.goo.gl/GUML2SCaAYEV4SjKA
Our team will guide you through course selection, schedules, and career pathways.
Yes. Global IT offers free consultation sessions to help you make the right decision.
During the consultation, we will:
• Understand your career goals
• Recommend the best training path
• Explain certification benefits and job opportunities
• Provide course schedules and pricing options
You can schedule your consultation via phone, email, or website inquiry form
The Software QA Testing with AI Training Course is an intensive, hands-on program designed to transform traditional manual and automation testers into high-demand AI-Powered Quality Engineers. As software development evolves, top enterprises are rapidly adopting AI-driven testing workflows to accelerate releases and maximize quality.
In this 48-hour course, you will learn to integrate generative AI tools—including ChatGPT, GitHub Copilot, Postman AI, and Jira AI—across every phase of the Software Testing Lifecycle (STLC). You will master Prompt Engineering, automated test scenario generation, self-healing Selenium scripts, AI-assisted API and database validations, and real-time executive dashboard reporting using Power BI and Tableau.
Through 12 practical modules and an enterprise capstone project, you will build a complete, production-ready AI testing solution—equipping you with the advanced skills needed to lead quality engineering teams in today's tech landscape.
.svg)
Demand for AI-Skilled Engineers: Tech leaders and enterprise organizations are heavily investing in AI-driven testing workflows to shorten release cycles and optimize QA costs.
Increased Efficiency & Productivity: AI-assisted testing enables engineers to analyze requirements, write complex SQL scripts, and build regression suites in a fraction of the traditional time.
End-to-End Workflow Mastery: Gain hands-on capability to apply AI across the complete software testing lifecycle—from requirement analysis to executive dashboard reporting.
.svg)
If you want to kick-start your career in the IT field or grow from being a traditional manual or automation tester into an AI-Powered Quality Engineer, this course is designed for you. Organizations are rapidly transforming their software delivery pipelines, making artificial intelligence essential for modern QA. By integrating AI into testing, teams can generate test cases faster, automate script creation, auto-heal broken test locators, and build real-time analytics dashboards. Unlike standard manual testing or traditional automation tools alone, AI-assisted QA drastically reduces script maintenance, optimizes bug triage, and improves release readiness tracking. Whether you are looking to enhance your productivity or build enterprise-ready QA workflows, mastering AI in software testing will give you a decisive edge in the tech industry.
Mastering AI-driven QA opens pathways across tech-forward enterprise roles:
Role Avg Salary
Entry-Level AI QA Engineer (0–2 Years) $60,000 – $84,000 / year
Mid-Level AI QA Engineer (2–5 Years) $85,000 – $130,000 / year
Senior AI QA Engineer / Lead (5+ Years) $130,000 – $175,000+ / year
National Average Salary (Mid-Career) $112,000 – $125,000 / year
.svg)
Capstone Project
Participants build a complete AI-powered QA solutionthat includes:
Learning Resources
Sample Datasets
Prompt Library
.svg)
An AI-powered software tester integrates generative AI tools and machine learning models into every phase of the testing lifecycle. Rather than manually writing every test script or test case from scratch, they utilize AI to analyze requirements, generate edge-case scenarios, auto-heal broken test scripts, analyze database integrity, and build real-time visual dashboards for management.
AI is fundamentally transforming software development and testing. Organizations are shifting away from slow, manual QA processes toward AI-driven quality engineering. Mastering AI capabilities like prompt engineering, automated script generation, and smart defect triage allows quality engineers to execute comprehensive testing in significantly less time, making them highly valuable assets in today’s job market.
Traditional Test Automation:
• Requires manual creation of element locators and scripts from scratch.
• Brittle scripts that break easily when UI elements or dynamic attributes change.
• Requires significant maintenance time to keep test suites functional.
• Limited to executing pre-defined logic and static assertions.
AI-Assisted Test Automation:
• Utilizes AI tools to auto-generate locators and test scripts from plain language requirements.
• Features self-healing automation to automatically detect and adapt to UI changes.
• Drastically reduces script maintenance and accelerates overall script development.
• Provides predictive defect analysis and intelligent coverage recommendations.
No, prior programming experience is not strictly required. Basic software testing concepts are helpful, but the course teaches you how to leverage AI tools to generate scripts, write SQL queries, and build automation without needing advanced development skills from day one.
Yes, the course includes job placement assistance. You will build an enterprise-ready capstone project for your portfolio and receive guidance on resume building, interview preparation, and connecting with hiring employers.
Why Choose Global IT
• Established since 1999
• Instructor-led real-world training
• Flexible schedules (Evening / Weekend)
• Career-focused curriculum
• Veteran & workforce-friendly programs
You can contact Global Information Technology (Global IT) through multiple channels:
• Phone: Call our admissions team for immediate assistance Toll Free: (866)-GO-GIT-GO Office: (248) 557-2480
• Email: Send your inquiry and receive detailed course guidance info@global-itech.com
• Website: Submit the inquiry form on our official website www.global-itech.com
• Visit: Walk into our training center for in-person consultation https://maps.app.goo.gl/GUML2SCaAYEV4SjKA
Our team will guide you through course selection, schedules, and career pathways.
Yes. Global IT offers free consultation sessions to help you make the right decision.
During the consultation, we will:
• Understand your career goals
• Recommend the best training path
• Explain certification benefits and job opportunities
• Provide course schedules and pricing options
You can schedule your consultation via phone, email, or website inquiry form
Expanded baseline security topics essential for IT support, including physical vs. logical security concepts, malware, and more.
A revised approach to operational procedures, covering basic disaster prevention, recovery, and scripting basics.
A stronger focus on networking and device connectivity
.svg)
