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AI-Powered QA Engineering Program

This industry-focused Software QA Engineering Program is designed to help aspiring and experienced QA professionals master Manual Testing, Automation Testing, DevOps Integration, API Testing, and AI-enabled testing practices.

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Overview

Course Overview

Get hands-on training from industry experts, master state-of-the-art tools, and build real-world portfolios.

Course Highlights

What You Will Learn
• QA Fundamentals, SDLC & STLC
• Manual Testing, Defect Tracking & Test Documentation
• Automation Testing using Selenium, Playwright & Cypress
• Framework Design using Page Object Model (POM)
• API Testing using Postman & RestAssured
• Mobile Testing with Appium
• CI/CD & Shift-Left Testing Concepts
• AI & Generative AI in Software Testing
• Real-world Projects, Case Studies & Capstone Execution
How This Course Helps in Upskilling QA Knowledge
• Builds strong fundamentals in Software Testing & Quality Assurance.
• Helps transition from Manual Testing to Automation Testing.
• Provides hands-on exposure to modern testing tools and frameworks.
• Improves analytical thinking and defect identification skills.
• Enhances employability for QA Engineer and SDET roles.
• Prepares learners for enterprise-level testing projects.
• Strengthens knowledge in Agile, DevOps and CI/CD workflows.

Training Details

Duration 3 Months
Format Live Interactive Sessions
Credential Verified Certificate

Syllabus

Curriculum / Syllabus

Structured modular learning flow designed to take you from absolute basics to job readiness.

Detailed Program Overview & Curriculum

> Course Structure Overview
> Phase 1 – The Foundation
> QA vs QC, SDLC & STLC
> Manual Testing Concepts
> Black-box, White-box & Grey-box Testing
> Defect Management & Bug Lifecycle
> Testing Types & Levels
> Hands-on Manual Testing Lab
> Phase 2 – Transition to Automation
> Automation Strategy & ROI
> Selenium, Playwright & Cypress
> XPath, CSS Selectors & DOM
> Assertions, Waits & Data-driven Testing
> Page Object Model (POM)
> Automation Scripting Lab
> Phase 3 – Advanced Automation & AI
> CI/CD Pipelines & Shift-Left Testing
> API Testing & Mobile Testing
> Framework Design & Reporting
> AI in Testing & Self-healing Scripts
> Prompt Engineering for QA
> GitHub Actions Integration
> Phase 4 – Career Readiness
> Live Industry Case Studies
> Capstone QA Project
> Mock Interviews & Resume Building
> Performance & Security Testing
> Preparation for SDET Roles
> AI-Enabled Testing – The Future of QA
> Use AI tools to generate test cases and optimize test coverage.
> Understand self-healing automation scripts that automatically fix broken locators.
> Leverage Generative AI tools like ChatGPT for bug analysis and documentation.
> Improve testing productivity using AI-assisted debugging and reporting.
> Learn modern AI-driven QA practices used in enterprise projects.

Program Details

₹5,999₹7,499

🔥 20% Off – Limited Seats

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MSX PORTAL

Certificate of Completion

This digital credential is proudly presented to

Your Full Name

for successfully completing all curriculum requirements, hands-on labs, and key projects in the AI-Powered QA Engineering Program program.

Program Director

Verification ID

Credential

Get Certified & Stand Out

Upon completing the core modules and successfully delivering the capstone projects, you will receive a verified course completion certificate. This credential highlights your skills and practical training, and can be shared directly on LinkedIn and job applications.

LinkedIn Addable

Instantly attachable to your profile credentials section.

Verification QR Code

Allows future employers to verify your project work instantly.

Reviews

What Our Students Say

Read real feedback from students who transformed their career tracks using MSX Portal.

"This training transformed my career! The hands-on labs and AWS projects gave me the confidence to transition from a system admin to a Cloud DevOps role. Highly recommended."

Saurav Sharma

Cloud Engineer at TCS

"I joined the MERN Stack program with zero coding experience. The mentors supported me at every step. Today, I am building complex web apps at my new job."

Priya Patel

Full Stack Developer at Infosys

"The GenAI and LangChain modules were outstanding. Real-world case studies and vector database projects helped me stand out in my interviews."

Rahul Verma

AI Engineer at Cognizant