🚀 Job-Ready root cause testing Skills

Master root cause testing
with Mentors from Top Startups

Go beyond basic bug reporting. Our 12-week root cause testing program in India trains you to systematically identify, isolate, and resolve the underlying source of software defects. Build a professional portfolio with 6 real projects under 1:1 mentorship from industry experts.

12
Weeks
6
Projects
100%
Job Support
🔥Limited seats • ₹18999
WhatsApp Us

Why This Course is Different

Don't just learn theory. Build real projects.

 

Traditional Courses

Our root cause testing Program

Learning Approach
Theory-heavy lectures
Hands-on project-based learning
Mentorship
Pre-recorded videos, no personal guidance
1:1 live sessions with industry mentors
Projects
Toy examples & outdated case studies
6 real-world, portfolio-ready projects
Outcome
Certificate without practical skills
Job-ready skills with interview preparation
Tools & Tech
Limited to basic debugging
Advanced tools like Postman, Charles Proxy, Log Analysis

12-Week Intensive Curriculum

Transform from beginner to professional

Month 1

Foundations of Systematic Debugging

Goal: Build a strong foundation in software testing principles and master initial bug investigation techniques.

Learning Objectives:

  • Understand the Software Development Life Cycle (SDLC) and testing's role.
  • Learn to write effective bug reports with clear reproduction steps.
  • Master basic debugging techniques in browser DevTools.
  • Introduction to root cause analysis methodologies.

Key Tools & Technologies:

JIRA Chrome DevTools TestRail Git Basics

Weekly Breakdown:

Week 1: Testing Fundamentals & Bug Lifecycle
  • Types of Testing (Functional, Non-Functional)
  • Bug Triage and Severity vs Priority
  • Hands-on: File your first structured bug report.
Week 2: Front-End Debugging Basics
  • Inspecting HTML/CSS issues
  • Console logging and JavaScript error analysis
  • Network tab for API call inspection
Week 3: Introduction to Root Cause Analysis
  • The 5 Whys technique
  • Fishbone (Ishikawa) Diagrams
  • Case Study: Analyzing a real website bug.
Week 4: Version Control for Testers
  • Basic Git commands (clone, status, log)
  • Understanding code changes related to a bug
  • Linking commits to bug tickets

Hands-On Project:

E-commerce Bug Investigation Report
  • Deliverable: A comprehensive report on a simulated e-commerce bug, including reproduction steps, DevTools evidence, and a preliminary root cause hypothesis using the 5 Whys.
Month 2

Advanced Investigation & Backend Tracing

Goal: Develop skills to trace issues across the full stack, from UI to database, using advanced tools.

Learning Objectives:

  • Debug complex API issues using Postman and proxy tools.
  • Analyze server logs to identify application errors.
  • Understand database queries and spot data-related bugs.
  • Perform root cause analysis on performance bottlenecks.

Key Tools & Technologies:

Postman Charles Proxy / Fiddler MySQL / MongoDB Splunk / ELK Stack Basics

Weekly Breakdown:

Week 5: API Testing & Debugging
  • REST API concepts (Status codes, headers, body)
  • Using Postman for request inspection and mocking
  • Identifying authentication and authorization flaws
Week 6: Network Traffic Analysis
  • Setting up a proxy (Charles/Fiddler)
  • Intercepting and modifying HTTP/HTTPS traffic
  • Diagnosing slow API responses and timeouts
Week 7: Backend & Log Analysis
  • Reading and interpreting application logs
  • Searching logs for error patterns and stack traces
  • Correlating user actions with log entries
Week 8: Database Query Investigation
  • Basic SQL queries for data verification
  • Identifying incorrect data insertion/updates
  • Spotting slow queries and missing indexes

Hands-On Project:

Full-Stack Payment Gateway Failure Analysis
  • Deliverable: A detailed RCA report for a failed payment transaction. Trace the issue from the UI button click, through the API call (via proxy), to the backend log error, and finally to the database state.
Month 3

Mastery, Automation & Reporting

Goal: Automate detection strategies, master complex scenarios, and learn to communicate findings effectively to stakeholders.

Learning Objectives:

  • Write basic automation scripts to detect regressions.
  • Analyze complex bugs in microservices and distributed systems.
  • Create executive-level root cause analysis reports.
  • Prepare for root cause testing interviews and real-world scenarios.

Key Tools & Technologies:

Python / Scripting Selenium WebDriver Docker Basics Monitoring Tools (Grafana)

Weekly Breakdown:

Week 9: Automation for Root Cause Detection
  • Writing Python scripts to parse logs and flag errors
  • Basic Selenium scripts to automate bug reproduction
  • Setting up alerts for critical patterns
Week 10: Complex Systems & Microservices
  • Debugging in containerized environments (Docker)
  • Tracing requests across multiple services
  • Understanding failure cascades
Week 11: Effective Communication & Reporting
  • Structuring an RCA report for engineers vs. management
  • Recommending preventive and corrective actions
  • Presenting technical findings in a clear, concise manner
Week 12: Capstone & Interview Prep
  • Capstone project: End-to-end analysis of a live open-source bug
  • Mock interviews focusing on problem-solving
  • Building your testing portfolio and LinkedIn profile

Hands-On Project:

Capstone: Open-Source Application RCA
  • Deliverable: A complete, professional RCA for a selected bug in a real open-source application. Includes automated reproduction script, detailed analysis across the stack, and a presentation for a simulated stakeholder meeting.

Real-World Projects

Build a portfolio that gets you hired

Project 1: E-commerce Checkout Flow Analysis

Identify why orders are failing in the final payment stage. Use DevTools, network analysis, and session replay concepts to pinpoint the exact JavaScript error and API mismatch causing cart abandonment.

Project 2: Mobile App Performance Degradation

Investigate a reported "app slowing down" issue. Analyze memory leaks using profiling tools, examine inefficient database calls, and provide a root cause report with actionable fixes for the development team.

Project 3: Data Corruption Bug in SaaS Platform

Trace how user data is being incorrectly modified. Follow the data trail from the UI form, through the backend service, to the database query, identifying the flawed validation logic as the root cause.

Project 4: API Integration Failure

Debug a broken integration with a third-party weather service. Use Postman and Charles Proxy to simulate requests, analyze response headers and bodies, and discover the root cause in authentication token handling.

Who Is This For?

Manual Testers

Looking to move beyond repetitive test case execution and develop deep debugging skills to advance into SDET or QA Analyst roles.

Fresh Graduates

Engineering or CS graduates wanting to build a high-demand, analytical skill set in software testing to land their first tech job.

Career Switchers

Professionals from support, operations, or other fields seeking a structured path into the high-growth tech industry with a focus on problem-solving.

Junior Developers

Developers aiming to strengthen their debugging methodology and systematic approach to fixing bugs efficiently in their own code.

GOT QUESTIONS?

Frequently Asked Questions

Real questions from our community, answered by our experts

What is root cause testing, and how is it different from normal testing?

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Normal testing focuses on finding if a bug exists ("what" broke). Root cause testing goes deeper to systematically determine "why" it broke. It involves investigative techniques, tool usage, and analytical thinking to trace a symptom back to its fundamental source in code, configuration, or data, preventing the bug from recurring.

Do I need prior coding experience for this course?

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Basic logical thinking is required, but advanced coding is not a prerequisite. We start with fundamentals and gradually introduce scripting (Python) and querying (SQL) as needed for investigation. The focus is on reading and understanding code/logs, not necessarily writing production-level software.

What tools will I learn in this program?

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You will gain hands-on experience with industry-standard tools including Chrome/Firefox DevTools, Postman for API debugging, Charles Proxy for network analysis, JIRA for bug tracking, Git for version control, log analysis tools (Splunk/ELK basics), and introductory Selenium for automation.

Is there any job placement assistance?

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Yes. We provide 100% job support which includes resume building with your project portfolio, mock interviews focused on problem-solving and RCA scenarios, and guidance on LinkedIn profile optimization. We also share relevant job openings with our community.

How much time do I need to dedicate weekly?

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We recommend 10-12 hours per week. This includes 4-6 hours of live/recorded sessions and hands-on practice, and another 4-6 hours for working on projects, assignments, and self-study. The program is designed for working professionals and fresh graduates.

Will I get a certificate?

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Yes, upon successful completion of all modules and projects, you will receive a "Professional Root Cause Testing" certificate from Lead With Skills. More importantly, you will have a portfolio of 6 real projects to showcase to employers.

What if I miss a live session?

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All live mentorship sessions are recorded and available in your student dashboard. You can access them anytime. For 1:1 doubt-solving, you can schedule a separate call with your mentor.

What kind of projects will I build?

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You will work on 6 projects simulating real-world scenarios: debugging an e-commerce checkout failure, analyzing a mobile app performance issue, tracing a data corruption bug, fixing an API integration, and a capstone project on an open-source application.

Can I pay in installments?

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Yes, we offer flexible payment options. You can choose to pay the total course fee of ₹18,999 in two equal installments. Please contact our admissions team for details.

What are the future career paths after this course?

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Graduates are well-positioned for roles like QA Analyst (Specialist), SDET (Software Development Engineer in Test), Application Support Engineer, DevOps Analyst (focusing on reliability), and even transition into junior development roles due to the deep system understanding gained.