AI Powered QA Engineering Program

New Batch Starting Soon — Limited Seats

Become a Job-Ready QA Engineer with AI + Automation

Learn real-world testing, automation, and AI tools — even with no IT background. Land your first QA role in months.

2,500+

Students Trained

15+

Tools Covered

10+

Years Experience

Career Outcomes

Unlock High-Demand QA Roles

Companies don't hire certificates — they hire skills. This program prepares you for the roles employers are actively hiring for.

QA Analyst

Ensure software quality through test planning, execution, and defect tracking.

Automation Tester

Build automated test suites using Selenium, API tools, and CI/CD pipelines.

API Tester

Validate APIs and backend integrations using Postman and REST frameworks.

QA Lead

Lead testing teams, define strategies, and drive quality across releases.

Sound Familiar?

Struggling to break into IT?

The Solution

This program makes you job-ready

Why This Course

Built for Outcomes, Not Just Learning

Every module is designed to get you closer to your first QA job.

Learn by Doing

Work on real world projects enhanced with AI tools— not just textbook examples. Gain practical experience.

Interview Confidence

Prepare for interviews with expert guidance, doesn't matter if you have never faced interviews before.

AI Powered QA Workflows

Experience actual SDLC, STLC, agile sprints, frameworks and how AI is transforming testing workflows.

Industry Tools with AI Integration

Get hands-on with Playwright, Selenium, Postman, Jira, GitHub CoPilot, and modern AI tools used now a days.

Expert Training & Mentorship

Experience structured learning with ongoing mentor support ensuring you stay on track and build real confidence.

Career Guidance & Preparation

From resume building to profile optimization and structured interview training — we've got you covered.

Is This Right For You?

Everything You Need to Know

Who Should Join

Prerequisites

Why This Course

Why Roicians

Don't wait — the next batch is filling up fast

Course Curriculum

What You Will Learn

Structured, hands-on training covering everything you need for an AI-Powered QA career.

  • What is software and how it works
  • Frontend vs Backend
  • Client-server architecture (simplified)
  • Real-world application flows (login, payment, search)
  • Role of a QA Engineer
  • Types of testing (functional, regression, smoke)
  • Complete SDLC (Entry/Exit Criteria)
  • Complete STLC (Entry/Exit Criteria)
  • STLC with practical implementation
  •  
  • Agile vs Waterfall
  • Scrum roles and responsibilities
  • Sprint lifecycle
  • Daily standups, sprint planning, retrospectives
  • Complete Agile with all processes
  • How to connect concepts with real projects
  • Edge case thinking
  • Real-world testing mindset
  • Test scenarios vs test cases
  • Equivalence Partitioning
  • Boundary Value Analysis
  • Decision Tables
  • State Transition Testing
  • How we can use AI to make it efficient
  • Defect lifecycle
  • Writing effective defect reports
  • Severity vs Priority
  • Root cause analysis
  • AI infusion for defect logging and analysis
  • Implement Complete Agile in Jira
  • Understand Role of all stakeholders
  • Creating and managing issues in Jira
  • Logging and tracking defects
  • USE ROVO AI in JIRA
  • Requirement Traceability Matrix (RTM)
  • Test summary reports
  • Use Zephyr Essentials to make it Test management
  • Database basics
  • Tables, rows, and relationships
  • SELECT queries with all clauses
  • Joins
  • Functions
  • Constraints
  • Data validation techniques
  • What is API and how it works
  • HTTP methods and status codes
  • Using Postman
  • JSON response validation
  • Authentication basics
  • Negative testing
  • Generating test cases using AI
  • Identifying edge cases
  • Test data generation
  • Requirement understanding using AI
  • Create AI Testing Agent
  • Writing defects using AI
  • Debugging errors
  • Generating automation scripts
  • Reviewing AI output (quality control)
  • What is Copilot (simple explanation)
  • How it helps testers
  • Writing basic code with Copilot
  • When to trust vs verify

JavaScript + TypeScript Essentials

  • Variables (let, const)
  • Data types (string, number, boolean)
  • Arrays & objects
  • Functions
  • If-else conditions
  • JSON handling

TypeScript Basics (Focused)

  • What is TypeScript (simple explanation)
  • Type annotations (string, number, boolean)
  • Why types help in automation
  • Basic error understanding

Async Concepts (Critical for Playwright)

  • async / await
  • promises (basic understanding)

Using Copilot to write simple functions

  • Fixing errors with AI help

🔹 Part A: Basics

  • Setup Playwright
  • Write first test
  • Locators, actions, assertions

AI Integration:

  • Use Copilot to generate first test
  • Modify AI-generated script

🔹 Part B: Stability & Reusability

  • Waits & synchronization
  • Reusable functions
  • Fixtures

 AI Integration:

  • Generate reusable functions using AI
  • Improve code readability

🔹 Part C: Practical Automation

  • Simple framework structure
  • Reports
  • Debugging

 AI Integration:

  • Debug failing tests using AI
  • Fix locator issues using AI suggestions
  • Improve test coverage using AI

🔹 Part D: Smart QA Automation

  • When to use AI vs manual logic
  • AI limitations in automation
  • Writing stable tests (not blindly using AI)
  • Introduction to Selenium WebDriver
  • Elements and locators
  • Where Selenium is used
  • Comparison with Playwright
  • Version control basics
  • Commit, push, pull
  • Branching concepts
  • Collaboration workflow
  • Introduction to CI/CD
  • Running tests in pipelines
  • Understanding reports and logs

Project 1: Manual Testing Project

  • Test scenarios and test cases
  • Defect logging
  • RTM and reporting

Project 2: API Testing Project

  • Postman collection
  • API validation
  • Negative testing

Project 3: SQL Validation Project

  • Backend data validation
  • Query-based verification

Project 4: Playwright Automation Project

  • End-to-end automation
  • Reporting and debugging

Project 5: AI-Powered QA Workflow

  • AI-generated test cases
  • AI-assisted automation
  • Validation of AI output

Project 6: Capstone Project

  • Complete QA cycle
  • Manual + API + SQL + Automation
  • GitHub project submission
  • Final presentation

👉 Outcome: Real project experience for interviews

  • Module 17: Resume & Portfolio Building

    • QA resume preparation
    • Project explanation techniques

    Module 18: Mock Interviews

    • Live mock interviews
    • HR questions
    • Feedback and improvement

    Module 19: Workplace Simulation

    • Daily standup practice
    • Sprint workflow simulation
    • Bug triage discussions

    👉 Outcome: Interview-ready and workplace-ready

Tools & Technologies

Master the Tools Used in Real Jobs

Get hands-on experience with the exact tools companies use in their QA processes.

selenium

Selenium

Postman

Jira

SQL

Git

Playwright

PlayWright

Java

REST API

How It Works

Your Journey to AI-Powered QA Tester

Strong Foundation

Understand core testing concepts and automation frameworks with AI-driven approach.

Practice on Real Projects

Work on practical scenarios, complete exposure to automation and AI enabled testing.

Prepare for Interviews

Practice interviews, improve communication and build confidence to clear the real interviews.

Get Job-Ready

Complete guidance on resume building, profile optimization and job search tips & techniques.

What Our Students Say

Students Reviews

Detailed Course Information

Course Schedule

Start Date Weekend/ Weekdays Timing Mode Action
26 April 2026 Weekend (Saturday + Sunday) 10:00 AM - 01:00 PM Online Enroll Now

FAQs

Frequently Asked Questions

Questions related to data analysis with AI tools course in Canada

This course is ideal for beginners, career switchers, and professionals looking to build or upgrade their QA and automation skills.

No. We start from fundamentals and gradually move to advanced topics, including automation and AI based testing practices.

Yes. The program includes hands-on exposure to automation concepts along with real-world testing practices.

Our training focuses on real-world projects, structured interview preparation, and the latest AI-powered testing approaches used in industry.

Absolutely. The course is designed to support learners from zero experience to job-ready skill level.

We do not guarantee jobs. However, we provide complete preparation including resume building, profile optimization, and interview training to help you confidently pursue opportunities.

You will receive continuous mentor support, doubt-solving sessions, and guidance throughout the program.

Yes. We provide mock interviews, resume building, and communication coaching to help you confidently face real interviews.

Yes. The course includes exposure to modern AI tools and how they are used in testing workflows.

The duration depends on the batch, but the program is structured to ensure complete coverage of QA, automation, and AI concepts.

Yes. Access to recorded sessions is provided so you can revise anytime.

 
 
 

Yes, the Roicians’ software testing course is designed for beginners. It includes real-time project exposure and the basis of both automated and manual testing from scratch.

Yes, participants will get a recognized Roicians Software Testing Course certification after successfully finishing the course.

Yes, you can participate from anywhere using Roicians’ flexible learning options, which include online live instructor-led sessions.

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