AI Powered QA and Software Testing Course

OVERVIEW

The AI Powered QA and Software Testing Course is an online or classroom instructor-led training program designed for students, graduates, entry-level professionals, junior developers, product support staff, and aspiring test analysts who want to build practical, job-ready software testing skills.

Modern software teams expect QA professionals to review requirements, design test cases, execute tests, collect objective evidence, report defects clearly, validate APIs and databases at an introductory level, and communicate quality risks. This program develops these capabilities through guided demonstrations, hands-on labs, peer review, and portfolio development.

Rather than focusing narrowly on a single tool, the course emphasizes transferable QA thinking: verification, validation, traceability, risk awareness, evidence, and professional communication. No prior QA tool experience is required.

AUDIENCE PROFILE

·        Undergraduate students in Computer Science, IT, Software Engineering, or related programs

·        Graduates seeking entry-level QA Analyst or Test Analyst roles

·        Students preparing for internships, capstone projects, and campus placements

·        Junior developers and technical support staff who want practical testing exposure

·        Business and product-oriented learners who need QA vocabulary and workflow knowledge

·        Professionals interested in manual QA, API validation, SQL validation, and junior automation pathways

·        Application Support and Product Support career aspirants

·         Business Analysts seeking practical QA and testing exposure

PRE-REQUISITES

·        Basic computer and internet skills

·        Basic programming exposure and familiarity with web applications

·        Introductory knowledge of software engineering or DBMS is helpful but not mandatory

·        Ability to read simple requirements and write short technical notes in English

·        No prior QA tool experience is required

COURSE TYPE

Online Instructor-Led Training with guided demonstrations, practice labs, peer review, and capstone-based portfolio development

DURATION

Course Introduction + 8 Applied Sessions, Total 20 Hours
Adaptable as a short bootcamp, workshop, elective supplement, or skill-enhancement module

PLACEMENT & CAREER SUPPORT

·        Resume review for QA Analyst and Test Analyst roles

·        LinkedIn profile and portfolio positioning guidance

·        QA artifact review: test cases, execution sheet, defect log, and summary report

·        Interview preparation workshop

·        Mock interview practice for manual QA, API testing basics, and SQL validation basics

·        Guidance on discussing QA portfolio work during internship and placement interviews

·        Internship and entry-level role-readiness coaching

COURSE DESCRIPTION

This practical certificate course provides learners with foundational knowledge and applied skills for modern software testing and quality assurance. It shows how QA supports software engineering through verification, validation, risk awareness, traceability, objective evidence, and clear communication.

Learners begin with QA, QC, testing, SDLC, and STLC concepts, then practise converting requirements and user stories into test cases, executing manual tests, collecting evidence, and reporting defects professionally. Introductory API testing, database testing, SQL validation, and automation concepts help learners understand how contemporary QA extends beyond screen-level testing. By the end of the course, each learner develops a small portfolio of practical QA artifacts.

COURSE CURRICULUM

Intro – Orientation to Software Testing and QA
Role of QA in software delivery
Testing mindset and quality culture
Course expectations and QA portfolio setup
How QA artifacts will be reviewed and improved

Module 1 – QA Role, SDLC and STLC
QA, QC, and testing explained in simple terms
How QA fits into software projects and Agile teams
SDLC, STLC, and release quality
Verification, validation, risk, traceability, and evidence

Module 2 – Requirements Review and Test Case Design
Reading user stories and functional requirements
Identifying testable requirements
Positive and negative test cases
Expected results, boundary values, and equivalence ideas
Creating structured test case suites

Module 3 – Manual Testing of Web and Mobile Workflows
Functional testing of common user workflows
Usability, compatibility, and regression testing awareness

Exploratory testing with notes and evidence
Capturing screenshots, observations, and objective results

Module 4 – Defect Reporting and QA Communication
Expected versus actual results
Reproduction steps and environment details
Severity, priority, and defect lifecycle

Professional communication with developers, business analysts, and product owners

Module 5 – API Testing Foundations
REST API basics
Request and response concepts
Status codes and JSON
Introductory Postman-style practice
Recording API evidence for QA reporting

Module 6 – Database Testing and SQL for QA
SELECT queries for QA validation
Record validation and backend checks
Duplicate and missing data checks
Understanding how user-interface behavior connects to data records

Module 7 – Automation Concepts and No/Low-Code Awareness
What automation can and cannot do
Automation suitability and stable test steps
Smoke tests and repeatable flows
Limits of automation and the continued role of manual testing

Module 8 – Capstone QA Project
Test plan development
Test case suite creation
Manual execution evidence
Defect summary and status note
Short presentation of QA findings and risks

TOOLS COVERED

 Spreadsheet-based test case design and execution tracking
 Bug report templates and defect logs
 Web browser testing and screenshot evidence capture
 Introductory API testing using Postman-style workflows
 Introductory SQL SELECT queries for QA validation
 No/low-code automation awareness and suitability analysis
 Document templates for test plans, test summaries, and QA status notes

LEARNING OUTCOMES

Upon completion, learners will be able to:

·        Explain QA, QC, testing, SDLC, and STLC in simple terms

·        Describe how QA supports Agile teams, release quality, and product confidence

·        Review requirements and identify testable conditions

·        Create clear manual test cases from user stories and functional requirements

·        Execute manual tests and capture objective evidence

·        Write clear defect reports with severity, priority, and reproduction steps

·        Perform introductory API validation using request/response, status code, and JSON concepts

·        Use basic SQL SELECT queries for record validation and backend verification

·        Explain when automation may be useful and when manual testing remains important

·        Prepare a small QA portfolio suitable for internship and entry-level role discussions

CAPSTONE PROJECT

·        Participants complete a small, evidence-based software testing project involving:

·        Test plan describing scope, assumptions, risks, and approach

·        Test case suite based on requirements and user workflows

·        Manual execution sheet with pass/fail status and evidence notes

·        Defect log with severity, priority, and reproduction steps

·        Introductory API or SQL validation evidence, where applicable

·        QA summary report explaining coverage, key defects, risks, and recommendation

·        Short presentation of testing results and quality observations

PORTFOLIO DELIVERABLES

·        QA Test Plan

·        Test Case Suite

·        Manual Test Execution Sheet

·        Defect Log and Status Note

·        API Testing Evidence Sheet

·        SQL Validation Evidence Sheet

·        QA Summary Report

·        Capstone Presentation Deck

INTERVIEW PREPARATION

·        QA resume positioning and keyword alignment

·        How to describe manual testing, test case design, and defect reporting experience

·        How to present API and SQL exposure honestly at an introductory level

·        Review of portfolio artifacts for interview discussion

·        Common QA Analyst interview questions and suggested response structure

·        Mock interview practice focused on QA concepts, scenarios, and communication

CERTIFICATION

Participants who successfully complete the required learning activities, labs, and capstone QA mini project may receive a Certificate of Completion in Software Quality Assurance Analyst training, subject to the policies of the training provider or institution delivering the program.

CAREER OPPORTUNITIES

·        Software Quality Assurance Analyst

·        Manual QA Tester

·        Junior Test Analyst

·        Product Support Analyst

·        Application Support Analyst

·        QA Intern

·        Junior Automation Tester

·        Software Testing Associate

·        Technical Support Analyst with QA responsibilities

·        Business Analyst with QA/testing exposure