৫ মাসের স্টাডিপ্ল্যান

৪৪  টি লাইভ ক্লাস

২ টি ইন্ডাস্ট্রি স্ট্যান্ডার্ড প্রজেক্ট

প্রোগ্রেস ট্র্যাকিং

উইকলি ৩ দিন সাপোর্ট ক্লাস

কমিউনিটি সাপোর্ট

লাইফটাইম এক্সেস

জব মার্কেট গাইডলাইন

ইন্টারভিউ হ্যান্ডবুক

সার্টিফিকেট

ল্যাপটপ/ডেস্কটপ (মিনিমাম ৮ জিবি র‍্যাম)

ভালো ইন্টারনেট কানেকশন

প্রোগ্রামিং ফান্ডামেন্টালস জানা থাকলে ভালো

মিনিমাম Core i3 প্রসেসর

২৫৬ জিবি এসএসডি

লেগে থাকার মানসিকতা

Achia Hossain

থাকছে ৫ টির বেশি রিয়েল লাইফ প্রজেক্ট, যেগুলো করে হয়ে যাবে মোস্ট ডিমানডিং প্রোডাক্ট বিল্ড করার অভিজ্ঞতা।

Run you first code!

ইন্টারভিউ কোয়েশ্চেন হ্যান্ডবুক ডাউনলোড করুন

ডাউনলোড করুন পুরো হ্যান্ডবুক

ফ্লাটার প্রোগ্রামিং ল্যাংগুয়েজ ডার্টের উপর ফ্রি ভিডিওগুলো দেখে আপনার বেসিক ক্লিয়ার করে নিন

বেসিক ঝালাই করুন এখান থেকে

Jira

TestRail

Excel

Postman

Selenium

WebDriverIO

MySQL

MongoDB

Github

টিম প্রোজেক্ট

সিভি মেকিং এবং পোর্ট ফোলিও বিল্ডিং

জব পাওয়া পর্যন্ত সাপোর্ট

কোর্স শেষে পাচ্ছেন এক্সক্লুসিভ জব প্লেসমেন্ট সাপোর্ট!

আমাদের প্রো ব্যাচের ব্যাপারে একটা ভালো হেডিং হবে এখানে

Taslima Jannat Nishat

Md. Arifur Rahman

NEELIMA RAHMAN

Srabonty Chakrabarty

Md Ashraful Islam 

Kanita Jerin Tanha

Md. Shamimul Islam

Sanjida Jahan

ফয়সাল আহমেদ

Mosle Al Dein Soad

Mohammad Delwar Hosen

Iftekhar Uddin Yousuf

Nasim Ahmed

Md. Habibur Rahman Lalon

Md Ashiqur Rahman

Azizul Islam Nayem

Mithun Saha

Md. Elias

Md. Ali Ahsan Akib

AHMED SHAKIR

Mir Sultan

Rizbi Islam

Mim Akter

Aritra chowdhury

Protick Saha

Tanvir Hasan

ABIR IBRAHIM BIN MONIR

Nur -A-All Asif

Dipa Rani Vhoumik

Samiul Islam

MD. MAHI SALMAN

Mohiduzzaman Mahin

AKM FAZLUL HOQUE BHUIYAN

Md Asif Ikbal

Faisal Ahmad

Nipa Paul

Fouzia Mozumder

Hridoy Das

Run Automation in Postman,Run with CMD using Newman

Mehedi Hasan

Selenium মাস্টারক্লাস ফর বিগিনারসঃ SQA Masterclass 

Introduction with Javascript, ES6 Model

Shazidul Alam

HAMJA MOHTADEE EBNE MAMUN

MD. SAJJAD HOSSAIN

MD TANVIR ARABI

Rezwanul Rimel

Sheikh Rakin

RAJIN IBNA RAJUANUR RAHMAN

Rumana

IFTE KHARUL ISLAM NIHAL

Amin Ocin

Nishat Shama

Yousuf khan

Radoanul Arifen

Md Tazveer Hossain Khan

Md. Sariful Islam

Ashikur Rahman

Tanvir Jahan Alin

Sabbir Mridha

Sakib

Noor Faisal Abedin

Sabiya sultana Nishat

Shafayat Bin Islam

YEASHIR ARAFATH

Mashiat Anjum Talukder

Nusrat Jahan

Md Ashadul Kibria

Hamja Mohtadee Ebne Mamun

Khandaker Mahamudur Rahman

Md Sazzadul Islam Shykat

Jahanara Islam Mridula

Zarin Anjum

Happihub

misfit

dream71aa

ব্যাচে ভর্তি হোন

সফটওয়ার টেস্টিং এবং কোয়ালিটি অ্যাসিওরেন্সের গ্লোবাল মার্কেট এখন ৪০ বিলিয়ন ডলার ছাড়িয়ে গেছে এবং এই সেক্টরের ইঞ্জিনিয়াররা মূলত দুটো পদ্ধতিতে কাজ করেন, ম্যানুয়াল এবং অটোমেটেড টেস্টিং। এখনো মার্কেটে ৫৪% ইঞ্জিনিয়ার ম্যানুয়াল টেস্টিং প্রেফার করলেও, বড় টেক কোম্পানিগুলো ইতোমধ্যেই তাদের টেস্টিং প্রসেসের ৭৫% অটোমেশনে নিয়ে গেছে। মার্কেটের অবস্থা স্পষ্ট, অটোমেশনই ভবিষ্যৎ।তাহলে একটাই প্রশ্ন , আপনি কি এই ভবিষ্যতের জন্য প্রস্তুত?সেই প্রস্তুতিটাই নিশ্চিত করতে ওস্তাদ নিয়ে এসেছে "SQA Live Course: Manual &amp; Automated Testing" এই কোর্সটি কাদের জন্য?সহজ উত্তর, আপনার জন্যই, যদি আপনি SQA সেক্টরে ক্যারিয়ার গড়তে চান।টেক বা CS ব্যাকগ্রাউন্ড? দরকার নেই। আগে থেকে প্রোগ্রামিং জানা? বাধ্যতামূলক না।যেকোনো ব্যাকগ্রাউন্ড থেকেই আপনি জয়েন করতে পারবেন এবং একদম শূন্য থেকে শুরু করতে পারবেন। তাহলে প্রোগ্রামিং কি একেবারেই লাগবে না?ম্যানুয়াল টেস্টিং পার্টের জন্য? না, লাগবে না। কিন্তু যখন আমরা অটোমেটেড টেস্টিং-এ প্রবেশ করবো, তখন প্রোগ্রামিং অবশ্যই দরকার হবে। তবে চিন্তা নেই, কখন এবং কীভাবে সেটা শিখতে হবে, সেই গাইডেন্স লাইভ ক্লাসেই দেওয়া হবে, ধাপে ধাপে।

SQA Engineers Community @Bangladesh

Manual Testing থেকে Automation: SQA ইঞ্জিনিয়ার হবার কমপ্লিট রোডম্যাপ

সাপোর্ট ক্লাস

Mastering Best Practices in Remote Software Quality Assuranc

Breaking the Code: The Art of Effective Test Case Design

Performance Testing Demystified: Tools & Techniques

SQA Career Roadmap ২০২৬: Beginner থেকে Job-Ready QA Engineer

Playwright Masterclass for SQA

Manual Testing Project 

Automation Testing Project 

ব্যাচের কার্যক্রম - মেইন লাইভ ক্লাস শুরুর আগেই যারা ইনরোল করেছেন, তারা কি বসে থাকবেন ? না! এই মডিউলে ব্যাসিক বেশ কিছু ভিডিও দেওয়া আছে। শুরু হয়ে যাক তবে শেখার জার্নি!&nbsp;

শুরুর আগে শুরু

Introduction to SQA

QA Roles, Career Path & Certifications

QA vs QC vs Testing Explained

Software Quality Factors & Agile vs Waterfall Overview

Why SQA Matters in SDLC

Live Class 1: What is SQA &amp; The AI Revolution in QA What is Software Quality Assurance | Why SQA is important in SDLC | Difference between QA, QC &amp; Testing | Objectives of SQA | Software Quality Factors | How AI is reshaping the QA landscape | AI-powered testing tools overview (Claude Code, GitHub Copilot, Playwright AI) | Overview of AI-assisted vs fully automated QA | SQA in Agile &amp; AI-first development models | Real-life examples of AI catching bugs faster Live Class 2: Roles, Responsibilities &amp; AI Career Path in SQA Emerging roles: AI QA Engineer, Prompt Engineer for Testing, AI Quality Lead | Day-to-day tasks with AI tools | Skills required: coding + AI prompting + traditional QA | Career path from Junior QA to AI Quality Engineer | Certifications (ISTQB AI Testing, CSTE, etc.) | AI tools ecosystem for QA professionals | Freelancing in the AI-QA era | How AI-augmented QA teams collaborate with Developers &amp; PMs | Real-world AI-QA career roadmap

Roles, Responsibilities & AI Career Path in SQA

Introduction to AI-Driven Software Quality Assurance (SQA)

Live Class 1: Flow of SDLC | Waterfall Model &amp; AI Integration Points What is SDLC | Importance of SDLC in software projects | Phases of SDLC (Requirement Analysis, Design, Implementation, Testing, Deployment, Maintenance) | Flow of each phase with real-life examples | Waterfall Model: Structure and Characteristics | Pros and Cons of Waterfall | Where AI assists in each SDLC phase | AI-powered requirement analysis tools | QA involvement in Waterfall | Limitations of sequential models in AI-driven projects Live Class 2: Agile Process | Scrum | AI-Augmented Development Workflows Why Agile? | Agile Manifesto &amp; Principles | Agile vs Waterfall | Key Agile methodologies (Scrum, Kanban) | Scrum Framework with AI tooling | Scrum Roles in AI-enabled teams | Scrum Ceremonies with AI assistants (Sprint Planning with Copilot, Stand-ups with AI summaries) | Sprint Lifecycle | QA's role in AI-Agile teams | Using AI for continuous feedback and risk detection in sprints

Flow of SDLC | Waterfall Model & AI Integration Points

Agile Process | Scrum | AI-Augmented Development Workflows

Software Development Life Cycle (SDLC) in the Age of AI

Live Class 1: Flow of STLC | AI-Assisted Problem Statement IdentificationWhat is STLC | Difference between SDLC &amp; STLC | Phases of STLC (Requirement Analysis → Test Closure) | QA involvement in each phase | Using AI (Claude, ChatGPT) to understand the application under test | How to identify the problem statement with AI assistance | AI-driven early bug detection strategies | Importance of early testing with AI co-pilot support Live Class 2: AI-Assisted Test Plan &amp; Test Case Design | Test Checklist Generation What is a Test Plan | Key elements of a test plan | Writing Test Plans with Claude Code assistance | Introduction to AI-generated Test Cases | How to prompt AI to write effective test cases (title, steps, expected result) | AI-generated Test Checklists | Reviewing and refining AI outputs | Manual vs AI-generated template comparison Live Class 3: AI-Powered Test Case Review and Analysis Live Class 4: Defect Tracking with AI | Intelligent Test Cycle Closure

Flow of STLC | AI-Assisted Problem Statement Identification

AI-Assisted Test Plan & Test Case Design | Test Checklist Generation

AI-Powered Test Case Review and Analysis

Defect Tracking with AI | Intelligent Test Cycle Closure

Software Testing Life Cycle (STLC) with AI

Foundation (Module 0-3)

Live Class 1: JavaScript Fundamentals with AI Assistance Introduction to JavaScript: What is JavaScript and why it's important for QA | Setting up JavaScript environment with AI guidance | Understanding JavaScript syntax using Claude Code | Variables and Data Types in JavaScript | Introduction to ES6: Features (let/const, arrow functions, template literals) | Using Claude Code to explain and generate JS code snippets | Understanding ES6 modules (import/export) | Real-life examples: letting AI write boilerplate JS for testers Live Class 2: Node.js with AI-Generated Code | OOP Basics What is Node.js and how it works | Setting up Node.js environment with Claude Code | Running AI-generated JavaScript code with Node.js | Introduction to programming concepts via AI prompting (Variables, Functions, Loops, Conditionals) | Understanding OOP with AI-explained examples | Using Claude Code to debug Node.js scripts in real-time | Event-driven programming in Node.js explained by AI | Real-world example: AI-generated Node.js test helper scripts

JavaScript Fundamentals with AI Assistance

Node.js with AI-Generated Code | OOP Basics

Introduction to Programming Language with AI (JavaScript + Node.js)

Live Class 1: AI-Assisted Problem Analysis &amp; Planning How to break down a problem statement with AI co-pilot | Using Claude Code to identify input, output, and constraints | Understanding edge cases with AI suggestions | Drafting solution plans using AI-generated pseudocode or flowcharts | Real-life QA/test-related problem statements solved with Claude Code | Step-by-step AI prompting strategy: break → ask → refine → validate Live Class 2: Translating AI Plans into Tested Code Prompting Claude Code to translate logic plans into JavaScript | Live problem solving: AI generates, human reviews &amp; tests | Walkthrough of AI-assisted logic writing, debugging, and test outputs | Practice: Conditional logic, loops, array handling — all with Claude Code | Evaluating AI code quality: when to accept, modify, or reject AI output | Students submit AI-assisted solutions for code review

AI-Assisted Problem Analysis & Planning

Translating AI Plans into Tested Code

Problem Solving with AI (Claude Code + JavaScript)

Live Class 1: Git &amp; GitHub with AI (Claude Code commits &amp; PR generation) Live Class 2: AI-Assisted Branching, Merging &amp; Code Review with GitHub Copilot

Git & GitHub with AI (Claude Code commits & PR generation)

AI-Assisted Branching, Merging & Code Review with GitHub Copilot

Version Control with Git &amp; AI Workflows

Programming & Problem Solving (Module 4-6)

Live Class 1: AI-Driven API Understanding &amp; Test Generation What is an API and how it works | Client-Server communication overview | HTTP basics: Request &amp; Response | Using Claude Code to understand API contracts and JSON schemas | AI-generated API test cases from API documentation | How to prompt Claude to write Postman pre-request and test scripts | AI-assisted database schema exploration | What is a Database Schema and why it matters for AI-assisted QA Live Class 2: AI-Powered Postman Scripting &amp; Newman Automation Types of API requests: GET, POST, PUT, DELETE | AI-generated Postman collections | Hands-on: Claude Code writes Postman test scripts | Using AI to set and manipulate Postman variables dynamically | AI-assisted assertions: pm.expect generated by Claude | Running AI-generated collections via Newman CLI | Integrating AI-generated tests into CI/CD pipelines

AI-Driven API Understanding & Test Generation

AI-Powered Postman Scripting & Newman Automation

API Testing Automation with AI (Claude Code + Postman AI + Newman)

Live Class 1: Introduction to Playwright &amp; Page Object Model with Claude Code Introduction to Playwright and why it's the modern standard for UI testing | What is POM and its benefits in AI-assisted frameworks | Folder structure and framework planning using Claude Code | Creating basic Playwright tests with AI-generated locators | Understanding POM components: Page Classes, Actions, Test files — all scaffolded by Claude Code | Using Playwright MCP (Model Context Protocol) with Claude Code for browser automation | Claude Code as an AI QA co-pilot in real-time test writing Live Class 2: Building Scalable Playwright Frameworks with AI Step-by-step POM creation guided by Claude Code | Writing reusable page functions with AI assistance | AI-generated locators and selectors inside Page Classes | Best practices for scalable test architecture | Demonstration: Claude Code builds login and dashboard page objects end-to-end | Reviewing and refining AI-generated Playwright code Live Class 3: CLI Execution, Shell Scripts &amp; CI Integration via Claude Code Running Playwright test cases from CLI with AI-generated npm scripts | Writing custom shell scripts with Claude Code to automate test execution | AI-assisted grouping and tagging of test scenarios | Executing grouped test scenarios via Claude Code commands | Integrating AI-generated Playwright scripts with GitHub Actions Live Class 4: Data-Driven Testing &amp; Allure Reporting with AI What is data-driven testing | Claude Code generates data-driven test cases from JSON/CSV | AI-assisted Allure Reporter setup | Using Claude Code to analyze Allure reports and suggest fixes | Generating and interpreting AI-enriched test reports | Best practices for AI-assisted clean, insightful reporting

Introduction to Playwright & Page Object Model with Claude Code

Building Scalable Playwright Frameworks with AI

CLI Execution, Shell Scripts & CI Integration via Claude Code

Data-Driven Testing & Allure Reporting with AI

AI-Powered UI Automation with Playwright Claude Code

Live Class 1: Problem Identification &amp; AI-Assisted Requirement GatheringUnderstanding the problem domain with Claude Code | Using AI to gather functional and non-functional requirements | AI-powered stakeholder analysis and documentation | Creating an AI-assisted Software Requirement Specification (SRS) | Prompting Claude to identify testable requirements automatically Live Class 2: AI-Driven Project Planning &amp; Risk ManagementUsing Claude Code to develop a Work Breakdown Structure (WBS) | AI-assisted time and resource estimation | AI-powered risk identification and mitigation strategy generation | Setting up project milestones with AI-generated deliverables | Integrating AI tools into the project workflow end-to-end

Problem Identification & AI-Assisted Requirement Gathering

AI-Driven Project Planning & Risk Management

Project Week 1: AI-Assisted Test Automation Project

Automation Testing (Module 7-9)

Live Class 1: AI-Augmented Test Execution | Smart Defect Lifecycle | Bug Reporting with AI What is Test Execution and how to prepare — with AI pre-check tools | Step-by-step defect lifecycle (New → Assigned → Retest → Closed) | Using Claude to draft clear, detailed bug reports automatically | AI-assisted root cause analysis of bugs | Using AI to prioritize defects (critical, major, minor) | Bug Reporting best practices enhanced by AI | Using JIRA with AI plugins (Atlassian Intelligence) to track bugs | What happens during Test Closure | AI-generated closure checklist Live Class 2: Manual Testing Process &amp; AI-Assisted Bug Analysis How to effectively identify and confirm a bug — with and without AI | Understanding root cause of bugs using Claude's analysis | AI-categorized bug severity and impact assessment | Step-by-step manual testing process supported by AI documentation | Role of communication in bug reporting | Common dos &amp; don'ts in professional QA work | Professionalism in documentation: when to use AI, when to write manually | AI as a QA assistant — not a replacement

AI-Augmented Test Execution | Smart Defect Lifecycle | Bug Reporting with AI

Manual Testing Process & AI-Assisted Bug Analysis

Fundamentals of Manual Testing in the AI Era

Live Class 1: Functional, Non-Functional &amp; AI-Powered Testing Types What is Functional Testing (with AI-generated examples) | What is Non-Functional Testing (AI performance, usability scanning) | Black Box Testing: concept and real use case | White Box Testing: when it's used and by whom | AI-assisted Black vs White Box analysis | What is System Testing? | Introduction to Acceptance Testing (UAT) with AI-assisted scenario generation | Using Claude Code to auto-generate test cases for each testing type Live Class 2: Regression, Smoke, Sanity &amp; AI-Driven Exploratory Testing Regression Testing: when and why — AI selects regression suites automatically | Difference between Sanity vs Smoke Testing | AI-assisted Sanity/Smoke execution in real projects | Introduction to AI-Powered Exploratory Testing | Using Claude Code for intelligent exploratory test generation | When to use AI exploratory testing in agile/manual QA | AI-driven test coverage analysis

Functional, Non-Functional & AI-Powered Testing Types

Regression, Smoke, Sanity & AI-Driven Exploratory Testing

Types of Software Testing with AI Strategies

Live Class 1: JIRA with Atlassian Intelligence | Trello with AI Power-Ups | AI-Assisted Bug Ticket Creation Live Class 2: TestRail &amp; Qase with AI Test Case Generation | AI-Powered Test Management Workflows

JIRA with Atlassian Intelligence | Trello with AI Power-Ups | AI-Assisted Bug Ticket Creation

TestRail & Qase with AI Test Case Generation | AI-Powered Test Management Workflows

Project and Test Case Management Tools with AI

Live Class 1: Understanding APIs with AI | Client-Server Communication What is an API and how it works — explained by Claude | Client-Server communication overview | HTTP basics: Request &amp; Response | Key parts of an API request (method, URL, headers, body) | API response structure explained with AI | Using Claude Code to understand JSON format and schema | Basic overview of how APIs interact with databases | What is a Database Schema — AI-assisted understanding for QA Live Class 2: Hands-On Manual API Testing with AI-Generated Scenarios Types of API requests: GET, POST, PUT, DELETE | AI-generated Postman test scenarios | Hands-on API calls using Postman with Claude-suggested test data | Sending requests and using AI to inspect and validate responses | Introduction to Postman variables with AI-assisted setup | Practical use: Claude writes Postman variable scripts | How to use AI to spot anomalies in API responses

Understanding APIs with AI | Client-Server Communication

Hands-On Manual API Testing with AI-Generated Scenarios

Manual API Testing with AI Assistance (Postman + Claude)

Live Class 1: Database Testing Fundamentals with AI Assistance What is Database Testing and why it's important | Types of databases: Relational vs NoSQL | Overview of SQL databases | Introduction to MySQL | Understanding Tables, Rows, Columns | Using Claude Code to generate SQL queries: <code>SELECT</code>, <code>INSERT</code>, <code>UPDATE</code>, <code>DELETE</code> | AI-explained primary key, foreign key, joins | AI tools used for database test validation Live Class 2: AI-Generated Database Queries &amp; NoSQL Testing Hands-on with AI-generated MySQL queries (real-time table operations) | Use cases in QA: AI-assisted data verification and validation | Switching to NoSQL: What and why | Introduction to MongoDB | AI-generated CRUD operations in MongoDB | Differences between SQL and NoSQL from AI-QA perspective | Claude Code generates and validates sample test scenarios for MongoDB

Database Testing Fundamentals with AI Assistance

AI-Generated Database Queries & NoSQL Testing

Database Testing with AI (AI-Generated SQL &amp; NoSQL Queries)

Live Class 1: AI-Enhanced Test Management &amp; Project Tools Overview of AI-powered test case management tools (e.g., Qase AI, TestRail AI, Katalon AI) | Writing and managing AI-generated test cases | Real project AI test case examples | Introduction to AI project management tools (e.g., Jira with Atlassian Intelligence, Linear AI) | Creating Epics, Stories with AI auto-suggestions | AI-assisted bug reporting lifecycle in Jira | Writing a good AI-enhanced bug report (summary, steps to reproduce, severity) Live Class 2: AI-First QA Toolchain Overview API Testing with AI: Postman AI, Bruno, and Claude Code | What is AI-Driven Automation Testing and where it fits in QA | Introduction to CI/CD Pipeline with AI quality gates | AI-powered cloud testing platforms (AWS Device Farm, BrowserStack AI) | Role of AI in Database and System Design Validation | Overview of visual regression testing with AI (Applitools, Percy) | Integrating AI tools into a complete QA toolchain