AI QA Foundation

Manual Testing · API · SQL · Jira · AI for QA

Start your QA career with real-world skills and AI built in from day one.

📊Beginner

⏱6 Weeks

🎙Live Online

📁4 Modules

🔧7 Tools

The AI QA Foundation is designed for beginners, graduates, and career-changers who want to enter the software testing profession the right way. You'll learn manual testing fundamentals, API testing basics, SQL for data validation, Jira for bug tracking, and how to use AI to accelerate every part of the QA lifecycle — from test case design to defect analysis.

₹9,999– ₹14,999

starting price

Enrol Now Talk to a Mentor

Beginner

6 Weeks

Live Online

LevelBeginner

Duration6 Weeks

FormatLive Online

Modules4

Who Is This Course For?

Graduates and students entering software testing
Career-switchers with no prior QA experience
Manual testers looking to formalise and upgrade their skills
Developers wanting to understand QA practices
Anyone curious about software quality as a profession

What You'll Learn

Apply SDLC, STLC, and Agile/Scrum testing practices on real projects

Design and execute functional, regression, exploratory, and smoke tests

Write professional test cases, test plans, and defect reports in Jira

Test REST APIs using Postman with assertions and environment variables

Validate application data using SQL queries against a real database

Use generative AI (ChatGPT, Claude) to assist test design, generation, and documentation

Course Curriculum

SDLC and STLC — phases, roles, and deliverables
Agile and Scrum for QA engineers
Types of testing: functional, regression, smoke, sanity, exploratory
Test planning and test strategy
Test scenarios, test cases, and test execution
Defect lifecycle: identification, reporting, tracking, closure

AI-Powered Automation

AI is not a single chapter — it is integrated throughout this course at every stage.

AI-assisted analysis of requirements to identify test scenarios

Generate test cases from user stories using ChatGPT and Claude

AI-generated boundary and edge case test data

Prompt engineering for exploratory testing charters

AI-assisted defect description and root cause analysis

AI-generated test documentation and execution summaries

Tools & Technologies

JiraPostmanNewmanSQL (MySQL/PostgreSQL)Git (basics)ChatGPTClaude

Live Project

Industry-Style Project Simulation

Students receive a realistic e-commerce web application. They perform full QA coverage: requirements review, test strategy, test case design, manual execution, API validation with Postman, SQL data checks, defect logging in Jira, and AI-assisted test documentation — exactly as a junior QA engineer would on a real project.

Instructor

👨‍💻

Senior SDET / QA Automation Engineer

12 Years Industry Experience

Practising QA engineer with 12 years of experience building and testing software at scale. Brings real-world architectures, real failures, and practical solutions to every session — not textbook theory.

Career Outcomes

Junior QA EngineerManual Test EngineerQA AnalystFunctional TesterReady to progress to AI Automation Engineer

FAQs

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Ready to start AI QA Foundation?

Learn from experienced QA and SDET professionals, work on real-world projects, and build the skills modern engineering teams expect.

Enrol Now Talk to a Mentor Download Course Curriculum