Imagine a course that not only teaches you the fundamentals of Quality Assurance, Testing, Coding, and Test Automation but transforms the way you approach software development forever. Whether you're just starting out, have a few years of experience, or are a seasoned professional looking to lead transformative projects, this course is designed with you in mind.

Update: This will be updated monthly with latest trends and skills for getting a job as SDET!

Note: No video lectures

A Journey for Every Experience Level

From building a solid foundation with manual testing and basic coding principles to mastering sophisticated automation frameworks and CI/CD integrations, our curriculum adapts to your career stage. You'll explore how to design robust test cases, automate complex user journeys, and implement advanced logging and reporting systems that bring clarity and insight to your testing processes.

Roadmap and Topics for Exercises:

QA (Quality Assurance):

Fundamentals of Software Testing (STLC, test levels, and types)
Manual Test Case Design and Execution (including boundary value analysis and equivalence partitioning)
Quality Metrics, Risk-Based Testing, and Domain-Specific QA (Finance, Healthcare, Insurance, POS, Ecommerce)
Agile and Waterfall QA Methodologies, SDLC Integration, and Defect Management
Documentation, Traceability Matrices, and Continuous Improvement Processes

UI Test Automation:

Setting Up Selenium WebDriver with Java and exploring Playwright with TypeScript
Implementing the Page Object Model (POM) for maintainable test suites
Advanced UI Testing Techniques (explicit waits, dynamic element handling, and self-healing tests)
Framework Design Patterns (Singleton, Factory, Strategy, Observer) to ensure robust automation
Integrating Logging (Log4j, Logback, SLF4J for Java; Winston for JavaScript) and Reporting (Allure, ExtentReports) for actionable insights

API Testing:

Automating API Tests using REST Assured (Java) and Python’s Requests library
Validating Endpoints through comprehensive GET, POST, PUT, and DELETE operations
JSON Schema Validation, Response Code Assertions, and Negative Testing
Combining API and UI Tests for End‑to‑End Integration

Performance Testing:

Designing and Executing Load, Stress, and Scalability Tests with JMeter and Gatling
Capturing Key Metrics (response times, throughput, error rates)
Analyzing Performance Bottlenecks and Optimizing for High‑Traffic Scenarios

Logging & Reporting:

Configuring Robust Logging Solutions (using language‑specific frameworks like Log4j for Java, Python’s logging module, and Winston for JavaScript)
Setting Up Rich Test Reports with Allure and ExtentReports
Embedding Screenshots and Detailed Logs for Effective Debugging and Stakeholder Reporting
Best Practices for Masking Sensitive Data and Ensuring Compliance

CI/CD Pipeline Integration:

Building Automated Pipelines with Jenkins, AWS CodePipeline, Docker, and GitHub Actions
Creating Sample Jenkinsfiles and GitHub Actions Workflows that integrate testing, reporting, and deployment
Containerizing Test Environments Using Docker and Orchestrating with Kubernetes
Demonstrating How Continuous Testing Accelerates Feedback Loops and Enhances Product Quality

Advanced Framework Design Patterns:

Applying Industry‑Standard Patterns (POM, Singleton, Factory, Strategy, Observer) for scalable, maintainable test frameworks
Developing Self‑Healing Tests that Automatically Adjust to UI Changes
Refactoring Legacy Test Suites for Maximum Efficiency and Reusability

Containerization & Kubernetes Deployment:

Creating Optimized Dockerfiles and Multi‑Container Setups with Docker Compose
Deploying and Scaling Your Test Automation Environment on Kubernetes
Integrating Infrastructure as Code Tools like Terraform to Automate Environment Provisioning

Domain-Specific & Integration Testing:

Crafting Test Cases for Payment Gateway Integrations, SEO Optimization, and Cross‑Channel User Journeys
Developing End‑to‑End Integration Tests that Span UI, API, and Third‑Party Services
Addressing Unique Challenges in Domains Such as Finance, Healthcare, Insurance, POS, and Ecommerce

Additional Advanced Topics:

Leveraging AI/ML in Test Automation for Predictive Analytics and Flaky Test Detection
Exploring Cutting‑Edge Tools and Emerging Trends to Stay Ahead of the Competition
Hands‑On Projects that Bridge the Gap Between Theory and Real‑World Application

Quality, Efficiency, and Innovation at Its Core

Our course isn’t just about learning tools; it’s about learning how to think like a QA and automation leader. Discover how to architect scalable automation frameworks using design patterns like Singleton, Factory, and Strategy. Learn how to weave advanced logging frameworks like Log4j and Winston into your projects and generate detailed reports with Allure or ExtentReports. Plus, you’ll see how CI/CD pipelines using Jenkins, AWS, Docker, and GitHub Actions can supercharge your development cycle, reducing errors and accelerating delivery.

Engaged Learning

We’ve built this course with a narrative approach that speaks directly to you. Imagine learning through stories of real-life challenges and victories in diverse domains like Finance, Healthcare, Insurance, POS, and Ecommerce. Our step-by-step exercises are packed with hints, practical tips, and detailed solutions that guide you as you build, test, and deploy like a pro.

Reasoned for 6 seconds

Revising course content

I’m regrouping the course content into bullet points for clarity, focusing on areas like QA, UI Test Automation, API Testing, and more, to ensure the narrative effectively highlights key topics.

Crafting a comprehensive narrative

I’m forming a compelling sales narrative, listing real-world topics like QA, UI Test Automation, API Testing, and Performance Testing, aiming to effectively convey the course's breadth and applicability.

Charting course content

OK, let’s think it through: covering topics like Logging & Reporting, CI/CD Pipeline Integration, Advanced Framework Design Patterns, Containerization & Kubernetes, and Domain-Specific & Integration Testing.

Below is a revised, compelling course description that breaks down real‑world applications into clear bullet points. This format is designed to showcase exactly what topics your course covers—appealing to learners across all experience levels.

Title:

QA & Automation Mastery: From Beginner to Pro

Short Description:

Real-world QA, Automation & Coding for every level.

Detailed Course Overview:

Our course is your gateway to becoming a high‑impact Software Development Engineer in Test. With a narrative built on real-world challenges and practical solutions, we cover every aspect of Quality Assurance, Test Automation, Coding, and CI/CD Integration. Here’s what you can expect:

QA (Quality Assurance):
Fundamentals of Software Testing (STLC, test levels, and types)
Manual Test Case Design and Execution (including boundary value analysis and equivalence partitioning)
Quality Metrics, Risk-Based Testing, and Domain-Specific QA (Finance, Healthcare, Insurance, POS, Ecommerce)
Agile and Waterfall QA Methodologies, SDLC Integration, and Defect Management
Documentation, Traceability Matrices, and Continuous Improvement Processes
UI Test Automation:
Setting Up Selenium WebDriver with Java and exploring Playwright with TypeScript
Implementing the Page Object Model (POM) for maintainable test suites
Advanced UI Testing Techniques (explicit waits, dynamic element handling, and self-healing tests)
Framework Design Patterns (Singleton, Factory, Strategy, Observer) to ensure robust automation
Integrating Logging (Log4j, Logback, SLF4J for Java; Winston for JavaScript) and Reporting (Allure, ExtentReports) for actionable insights
API Testing:
Automating API Tests using REST Assured (Java) and Python’s Requests library
Validating Endpoints through comprehensive GET, POST, PUT, and DELETE operations
JSON Schema Validation, Response Code Assertions, and Negative Testing
Combining API and UI Tests for End‑to‑End Integration
Performance Testing:
Designing and Executing Load, Stress, and Scalability Tests with JMeter and Gatling
Capturing Key Metrics (response times, throughput, error rates)
Analyzing Performance Bottlenecks and Optimizing for High‑Traffic Scenarios
Logging & Reporting:
Configuring Robust Logging Solutions (using language‑specific frameworks like Log4j for Java, Python’s logging module, and Winston for JavaScript)
Setting Up Rich Test Reports with Allure and ExtentReports
Embedding Screenshots and Detailed Logs for Effective Debugging and Stakeholder Reporting
Best Practices for Masking Sensitive Data and Ensuring Compliance
CI/CD Pipeline Integration:
Building Automated Pipelines with Jenkins, AWS CodePipeline, Docker, and GitHub Actions
Creating Sample Jenkinsfiles and GitHub Actions Workflows that integrate testing, reporting, and deployment
Containerizing Test Environments Using Docker and Orchestrating with Kubernetes
Demonstrating How Continuous Testing Accelerates Feedback Loops and Enhances Product Quality
Advanced Framework Design Patterns:
Applying Industry‑Standard Patterns (POM, Singleton, Factory, Strategy, Observer) for scalable, maintainable test frameworks
Developing Self‑Healing Tests that Automatically Adjust to UI Changes
Refactoring Legacy Test Suites for Maximum Efficiency and Reusability
Containerization & Kubernetes Deployment:
Creating Optimized Dockerfiles and Multi‑Container Setups with Docker Compose
Deploying and Scaling Your Test Automation Environment on Kubernetes
Integrating Infrastructure as Code Tools like Terraform to Automate Environment Provisioning
Domain-Specific & Integration Testing:
Crafting Test Cases for Payment Gateway Integrations, SEO Optimization, and Cross‑Channel User Journeys
Developing End‑to‑End Integration Tests that Span UI, API, and Third‑Party Services
Addressing Unique Challenges in Domains Such as Finance, Healthcare, Insurance, POS, and Ecommerce
Additional Advanced Topics:
Leveraging AI/ML in Test Automation for Predictive Analytics and Flaky Test Detection
Exploring Cutting‑Edge Tools and Emerging Trends to Stay Ahead of the Competition
Hands‑On Projects that Bridge the Gap Between Theory and Real‑World Application

Why Choose This Course?

Compelling Real‑World Content: Each module is built on actual industry challenges and enriched with practical, hands‑on exercises.
For Every Experience Level: Whether you’re just starting or looking to lead and innovate, the curriculum scales with your skills.
Interactive and Engaging: Learn through narrative-driven examples, detailed hints, and step‑by‑step solutions that make complex topics accessible.
Boost Your Career: Master the tools, techniques, and best practices that top QA and Automation professionals use to drive quality and efficiency in today’s competitive market.

Join us on this transformative journey and empower your testing and automation career with practical, innovative, and industry-relevant knowledge. Your path to becoming a master in QA and Automation starts here.

Japneet Sachdeva

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