End-to-End QA Journey
Move from QA foundations to automation, API testing, DevOps, performance, security and AI application validation.
Enrollment Open — AI-Powered Software Quality Engineering
Built in the USA. Delivered in Bangladesh. Designed for Global Careers.
For over 14 years, Transfotech Academy has been helping aspiring technology professionals build successful careers in the United States. Today, we're bringing the same curriculum, same practical learning methodology and same quality standards to Bangladesh through Transfotech Global Bangladesh.
Master Manual Testing, Automation Testing, API Testing, Performance Testing, AI-Assisted Testing and real-world QA workflows through live instructor-led classes and hands-on projects.
From Manual QA to Automation, DevOps & Intelligent Testing
Python + Playwright/Selenium + APIs + SQL
- 8 Core Modules
- AI in Every Module
- Python + Automation
- API + SQL Testing
- CI/CD + DevOps
Web Automation · API Testing · Performance · Security · AI/ML Validation
2 Capstone Project Options
Watch the Free Demo Class
See how the practical QA Engineering training works
Built for aspiring and working technology professionals
TETechnology
BABanking
TCTelecom
ENEngineering
COConstruction
HCHealthcare
MFManufacturing
CSConsulting
OPOperations
DVDevelopment
TETechnology
BABanking
TCTelecom
ENEngineering
COConstruction
HCHealthcare
MFManufacturing
CSConsulting
OPOperations
DVDevelopment
0
Core Learning Modules
0
Capstone Project Options
AI
Integrated Throughout
Full Stack
Quality Engineering Skills
Why This Program
Not Just Another Software Testing Course. Bringing 14 Years of U.S. Excellence to Bangladesh.
Transfotech Academy has spent over a decade training students and professionals across the United States using practical, career-focused technology education. Transfotech Global Bangladesh has been established to deliver that same educational experience locally - without compromising on quality. Every class follows the same core philosophy that has helped thousands of learners prepare for real technology careers.
Software Testing Fundamentals
Build strong understanding of SDLC, STLC, test planning, test design, defect lifecycle and QA documentation.
Scenario-Based Learning
Practice real testing situations across web apps, APIs, databases, pipelines and intelligent software systems.
CI/CD + DevOps
Learn how testing fits into Git, GitHub Actions, Jenkins, Docker, Linux and release pipelines.
Python + Automation
Use Python, Pytest, Selenium, Playwright and modern automation patterns to build maintainable test suites.
Hands-On Assignments
Apply each module through practical labs, test artifacts, automation tasks, API checks and database validation.
Agile QA Workflow
Understand QA responsibilities inside agile teams, sprint delivery, backlog refinement and continuous quality practices.
Career Orientation
Map your path toward QA Engineer, Automation Engineer, SDET, API Tester and DevOps QA roles.
AI in Every Module
Use AI for test design, automation support, defect analysis, test data ideas and validation of AI-powered products.
Final Capstone Project
Complete a portfolio-ready project such as a self-healing automation suite or chatbot evaluation system.
Why Choose Us?
Practical Training Built Around U.S. Standards and Real QA Workflows
Learn through a practical, mentor-led approach designed to help students build the skills, confidence and career readiness expected by modern software teams.
Learn the U.S. Standard
Our curriculum is designed around industry practices followed by modern software companies, giving students practical knowledge that reflects current workplace expectations.
Learn by Doing
Work on practical assignments, automation exercises, API testing, AI-assisted testing and real QA scenarios instead of relying only on theoretical lessons.
Industry Mentors
Learn directly from experienced professionals who have worked on enterprise software projects and understand current QA practices.
AI-Powered Learning
Use modern AI tools to improve productivity by generating test cases, writing automation scripts, analyzing bugs, creating documentation and streamlining testing workflows.
Career-Focused Training
Beyond technical skills, students receive guidance on resume preparation, interview readiness, professional communication and industry expectations.
Who Should Join?
This Program is Ideal For
Fresh Graduates
University Students
Career Switchers
Non-IT Professionals
Job Seekers
Software Professionals Looking to Upskill
Anyone Interested in Building a Career in Software Quality Assurance
Learning Roadmap
From QA Fundamentals to AI-Powered Quality Engineering
No disconnected tutorials. No tool-by-tool learning without context. Follow a structured journey from software testing fundamentals to automation, DevOps and intelligent system validation.
Phase 01
Foundation
Build Strong Testing Foundations
- SDLC, STLC and QA mindset
- Test planning and test-case design
- Defect lifecycle and Jira workflow
- Prompt engineering for QA tasks
Phase 02
Automation
Code, Automate and Validate
- Python programming for QA
- Selenium, Playwright and Pytest
- Page Object Model and test data
- API and database testing
Phase 03
Engineering
Move Into DevOps Quality
- Git, GitHub Actions and Jenkins
- Linux, Docker and CI/CD pipelines
- Performance testing with JMeter
- Security testing and OWASP basics
Phase 04
Capstone Ready
Validate AI Systems and Build a Portfolio
- AI-powered testing techniques
- Chatbot and recommendation-system validation
- Self-healing automation concepts
- Final capstone project review
Course Curriculum
Preview the First 4 Modules. Download the Full Curriculum.
Start with the core foundations of software quality assurance, then submit your information to download the complete curriculum roadmap.
- SDLC, STLC and QA responsibilities
- Testing levels, types and techniques
- Defect lifecycle and professional bug reporting
- Test plan, test cases and QA documentation basics
- SDLC & STLC
- Agile & Scrum
- Defect lifecycle
- Jira usage
- Writing professional bug reports
- Test Plan
- Test Cases
- Requirement Traceability Matrix (RTM)
- Prompt engineering for QA tasks
- Generate test cases from requirement documents
- Create user stories & acceptance criteria
- AI-assisted bug-report improvement
- Sprint summary generation
- Critical validation of AI outputs
- Outcome: Build a strong QA foundation while learning to use AI intelligently and responsibly throughout the testing lifecycle.
- Manual test case design and execution
- Boundary Value Analysis and Equivalence Partitioning
- Exploratory testing and real defect discovery
- Bug reports, test evidence and QA documentation
- Python basics
- Variables
- Conditions
- Loops
- Functions
- Object-Oriented Programming
- Modular code structure
- Interpret legacy code using LLMs
- Review AI-generated scripts
- Debug automation code
- Refactor with AI feedback
- Independently evaluate generated code
- Outcome: Develop the programming foundation required to become an automation-ready Quality Engineer.
- Agile mindset and Scrum framework
- Scrum roles, ceremonies and sprint workflow
- User stories, acceptance criteria and Jira workflow
- QA activities across planning, execution and regression
- Boundary Value Analysis
- Equivalence Partitioning
- Decision Tables
- Risk-Based Testing
- Session-Based Exploratory Testing
- AI-suggested edge cases
- AI-generated exploratory charters
- Risk expansion with AI
- Structured AI-assisted exploratory sessions
- Outcome: Strengthen analytical defect detection while using AI to explore software risks more intelligently.
- SQL basics for QA validation
- SELECT, WHERE, filtering and sorting records
- Joins, aggregates and data comparison checks
- Database testing scenarios and backend data validation
- Selenium or Playwright architecture
- Automation framework structure
- Locators & synchronization
- Page Object Model (POM)
- Script maintenance strategies
- Git commands
- Trunk-based development
- Auto-generate automation scripts
- AI-assisted debugging
- Self-healing locator concepts
- AI-based visual regression testing
- MCP server integration within Playwright
- Agent browser implementation
- Outcome: Learn to develop scalable, maintainable and AI-enhanced web automation frameworks.
- REST fundamentals
- HTTP methods
- GET
- POST
- PUT
- DELETE
- JSON parsing
- Status-code validation
- Postman
- API automation basics
- Basic SQL
- Aggregates
- Joins
- CTEs
- Subqueries
- Relational database testing
- AI-generated edge-case payloads
- Malicious JSON input generation
- AI-assisted anomaly detection
- Outcome: Develop the backend testing skills required to validate APIs, databases and data-driven applications.
- Git version control
- GitHub Actions or Jenkins
- CI/CD pipelines
- Docker fundamentals
- QA integration into release cycles
- Predictive test selection
- AI-driven pipeline optimization
- AI-based log analysis
- Root-cause detection using AI
- Outcome: Learn how Quality Engineering integrates directly into modern DevOps and continuous delivery workflows.
- Load testing
- Stress testing
- Spike testing
- JMeter fundamentals
- Performance metrics analysis
- OWASP Top 10
- Basic vulnerability assessment
- AI-based performance trend analysis
- Predictive bottleneck detection
- AI-assisted vulnerability scanning
- Outcome: Develop practical production-level validation skills covering reliability, performance and software security.
- Model validation concepts
- Bias and fairness testing
- Test coverage optimization
- Flaky-test detection
- Risk-based prioritization
- Historical test-data usage
- Predictive analytics introduction
- Chatbot testing
- Recommendation-system validation
- Image-model testing
- Text-generation validation
- Outcome: Develop the ability to evaluate and validate intelligent software systems, not just traditional applications.
Submit your information to download the full QA Engineering curriculum as a PDF.
Capstone Projects
Don’t Just Learn
Don’t Just Learn
QA Engineering. Build it.
Students complete one industry-oriented project option: a self-healing automation suite or a chatbot evaluation system.
People
Test Plan & Test Cases
Create test scenarios, test cases and acceptance-focused validation coverage for a real application flow.
Communication
Bug Reporting Workflow
Document defects clearly with severity, priority, reproduction steps, evidence and expected behavior.
Scope
Automation Framework Setup
Structure test code with reusable components, clean assertions and maintainable automation patterns.
Schedule
API Test Collection
Build request collections, assertions and data-driven API checks for backend validation.
Risk
Database Validation
Write SQL queries to verify records, data integrity and backend behavior after user actions.
Business Env
CI/CD Pipeline Check
Connect automated tests to pipeline thinking and understand release-quality gates.
Agile
Performance Test Scenario
Design a practical load test scenario and interpret performance testing results.
Exam
AI Application Test Case
Evaluate chatbot, recommendation or generated-output behavior with clear quality criteria.
What You'll Master
Build the Skills Modern Quality Engineers Actually Use
Build practical tool fluency across testing, automation, backend validation, DevOps, performance, security and AI system validation.
Software Testing
SDLC & STLC
Agile QA
Jira Workflow
Python
Playwright
Scrum
Kanban
API Testing
SQL
Risk-Based Testing
Database Testing
CI/CD
Docker
JMeter
Security Testing
OWASP Top 10
AI System Testing
Your Instructor
Learn From an Experienced Quality Engineering Practitioner
Mohammad Ashik Elahi
Senior Software QA & Test Automation Expert · SQA Instructor
Mohammad Ashik Elahi is a Senior Software QA & Test Automation Expert with 10+ years of industry experience across software testing, quality assurance, test automation, QA leadership and software engineering, contributing to real-world technology projects and development teams. He also brings academic teaching experience as a Guest Lecturer in Software Quality Assurance and Testing. As an instructor at Transfotech Global Bangladesh, he focuses on preparing learners for modern QA engineering roles through practical testing methodologies, automation practices, real-world workflows, and internationally relevant software quality standards.
- Software Quality Assurance
- Software Testing
- Test Automation
- QA Engineering
- Software Development
- AI & SaaS Solutions
Student Success
Learner Stories. QA Career Journeys.
See how practical automation, backend validation, DevOps QA and AI-powered testing can shape a stronger Quality Engineering career path.
"I came from manual testing and wanted a clear path into automation. The QA Engineering roadmap helped me connect test cases, Python, API testing and CI/CD into one practical workflow."
QA
Nafisa Rahman
Junior QA Tester
Manual QA to Automation
"The best part was learning how backend validation works. API testing, SQL checks and automation reporting made QA feel much more technical and career-focused."
QA
Sakib Ahmed
Software Testing Learner
API + SQL Testing
"I had basic programming knowledge but no automation structure. The Playwright and Pytest modules helped me understand how professional test frameworks are organized."
QA
Maliha Chowdhury
Aspiring Automation Engineer
Playwright + Pytest
"The DevOps and AI testing parts made the course feel current. I liked that the learning was not only about clicking through test cases, but about engineering quality into delivery."
QA
Tanvir Hasan
IT Professional
DevOps QA + AI Testing
Where Can This Program Take You?
Career Opportunities After Completing This Program
The demand for skilled QA Engineers continues to grow across software companies, startups, fintech organizations, outsourcing firms and international remote teams. With the right technical skills and practical experience, you can pursue a variety of Software Quality Assurance career paths.
Junior QA Engineer
Typical Monthly Salary
৳30,000 – ৳40,000
Assist in manual software testing, execute test cases, report bugs and collaborate with developers to ensure software quality.
Software QA Engineer
Typical Monthly Salary
৳40,000 – ৳70,000
Perform manual and API testing, create test plans, validate software functionality and work within Agile development teams.
Software Test Analyst
Typical Monthly Salary
৳45,000 – ৳80,000
Analyze business requirements, design comprehensive test scenarios, validate applications, and ensure software meets business and user expectations.
Automation QA Engineer
Typical Monthly Salary
৳60,000 – ৳120,000+
Build automated test scripts using Selenium and other automation frameworks to improve software quality and testing efficiency.
SDET (Software Development Engineer in Test)
Typical Monthly Salary
৳80,000 – ৳150,000+
Develop scalable automated testing frameworks, integrate testing into CI/CD pipelines and work closely with software development teams.
QA Lead
Typical Monthly Salary
৳100,000 – ৳160,000+
Lead QA teams, define testing strategies, mentor engineers, oversee automation initiatives and ensure high-quality software delivery.
Everything Included
Everything You Need to Build Modern QA Skills — In One Program
8 Core ModulesFoundation to advanced Quality Engineering
AI in Every ModuleAI-supported QA workflow
Capstone ProjectPortfolio-ready QA work
Learning MaterialsBatch materials provided by TGB
Class ResourcesInstructor-guided sessions
Chapter QuizzesPractice after every module
Practical AssignmentsApply QA concepts
Automation PracticeBuild real test workflows
Progress ReviewImprove practical skill gaps
Agile QA TrainingSprint-ready QA workflow
Capstone ReviewYour capstone approach
Career OrientationQA career path guidance
Enrollment Now Open
Invest in a Career, Not Just a Course
Learn AI-Powered Software Quality Engineering through the same U.S.-standard curriculum trusted for 14+ years. Gain hands-on experience with live classes, real-world projects, AI-integrated learning and career-focused mentorship.
Limited-Time Offer — Ends In
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Most Popular
Online — Live via Zoom
AI-Powered QA Engineering Program
৳11,990
Program Fee
Regular Fee৳14,990
Batch enrolling now — limited seats
- U.S.-Standard Curriculum
- Live Zoom Classes
- Interactive Learning
- Real Industry Projects
- AI-Powered QA Training
- Resume Building Support
- Mock Interview Sessions
- Career Guidance
- Certificate of Completion
- Session Recordings*
Free QA career consultation before you decide
Live instructor-led Zoom classes
U.S.-standard AI-integrated curriculum
Flexible Payment Options
Choose the payment option that works best for you.
Full Payment
Easy Installment Plan
Contact our admissions team for details
Included With Enrollment
Every Student Receives
A complete learning support system — from live training and real projects to career preparation.
Live Instructor-Led Classes
Practical Labs
Real Industry Projects
AI-Powered QA Training
Resume Building
Mock Interviews
Career Guidance
Certificate of Completion
FAQ
Every QA Engineering Question, Answered Clearly.
Still unsure about something? Message us on WhatsApp — our team can help you understand the program and decide whether it matches your career goals.
This program is designed for beginners, manual testers, fresh graduates, IT professionals and working professionals who want to build practical software testing, automation and Quality Engineering skills.
Prior programming experience is helpful but not mandatory. The curriculum includes Python programming for QA before moving into automation frameworks and advanced testing workflows.
You will learn QA foundations, Agile QA, Jira, Python, Selenium, Playwright, Pytest, API testing, SQL, database testing, Git, CI/CD, Docker, performance testing, security testing and AI-powered testing techniques.
Yes. Automation is a major part of the program, including Selenium, Playwright, Pytest, Page Object Model, test data handling, reporting and maintainable automation design.
Yes. The program includes practical assignments throughout the modules and a final industry-oriented capstone project option.
Students can work on a self-healing automation suite or a chatbot evaluation system, depending on the approved batch project plan.
Yes. The curriculum includes REST API testing with Postman and Python, authentication, assertions, response validation, SQL fundamentals and database testing.
Yes. You will learn Git, GitHub, GitHub Actions, Jenkins, Linux basics, Docker and how testing fits into CI/CD pipelines.
Yes. The program introduces performance testing with JMeter and security testing fundamentals including OWASP Top 10 and risk-based validation.
AI is integrated across the program for test design, automation support, defect analysis, test-data ideation and testing intelligent applications such as chatbots and recommendation systems.
Yes. The landing page keeps both online live Zoom and offline classroom options. Final fees, batch times and start dates should be confirmed with the Transfotech Global Bangladesh team.
No responsible training provider can guarantee a job. The program is designed to build practical, portfolio-ready QA Engineering skills and help you prepare for modern QA career paths.
Enrollment Now Open
Start Your QA Engineering Journey with U.S. Standard
Join a learning experience built on more than 14 years of technology education in the United States.
Learn from experienced instructors, work on practical projects, develop AI-powered testing skills and prepare yourself for a successful career in Software Quality Assurance.
Apply Today, Build Your Future with Transfotech Global Bangladesh.
- Learn through a U.S.-standard QA Engineering curriculum.
- Build practical skills through projects, labs and AI-powered testing workflows.
- Get career guidance for Software Quality Assurance roles.
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