Real, live applications from day one
Every exercise runs against saucedemo.com, Swagger Petstore, and restful-booker instead of slideware, so your practice mirrors real QA work.
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QA (SDET) Engineer
SOFTWARE QUALITY ASSURANCE TESTING · BEGINNER LEVEL
QA Engineer & AI-Assisted QA Testing
A 7-week, no-code program that turns beginners into job-ready QA Engineers: test design, defect management, AI-assisted testing, Postman API testing, and SQL — all on real, live applications.
Beginner7 weeks42 hoursOnline
Your selected course will be carried into Ingress Portal.
COURSE HIGHLIGHTS
AI used the responsible way
Learn to generate test cases, exploratory ideas, and bug report drafts with AI while always reviewing output before trusting it.
Interview-ready portfolio
Graduate with a full manual test suite, bug report set, and Postman API collection you can show a hiring manager.
YOUR LEVEL
BeginnerIntermediateAdvancedExpert
WHAT YOU WILL BE ABLE TO DO
The skills you will have by the end of this course.
- Design and execute structured manual test plans, test cases, and defect reports using equivalence partitioning, boundary value analysis, and exploratory testing.
- Apply the QA role inside Agile/Scrum, using JIRA and Confluence for test management and documentation.
- Classify and apply test levels and types, including smoke, sanity, regression, and black/white/grey box testing.
- Write bug reports developers act on, using AI to summarize logs and screenshots and suggest severity/priority.
- Use AI responsibly for test case generation, exploratory testing, and synthetic test data, always reviewing before trusting the output.
- Test REST APIs manually with Postman, including Postbot's no-code assertion generation, against real, live APIs.
- Validate backend data with SQL SELECT, JOIN, and filter queries against a real relational database.
- Own a complete manual QA baseline — test suite, bug reports, and API test collection — that is interview-ready for a Junior QA Engineer role.
CONDENSED SYLLABUS
See the structure without reading a textbook.
Modules stay collapsed for quick scanning. Open any module to inspect its topics.
01Software Testing Foundations: SDLC, STLC & the QA Role in Agile6 lessons+
Why testing matters and the real cost of defects
QA vs. QC vs. Testing
Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC)
Testing in Waterfall vs. Agile models
Agile/Scrum fundamentals and the QA engineer's role in a Scrum team
JIRA and Confluence for test management and documentation
02Test Design, Levels & Types6 lessons+
Test plans, test strategy, and requirement traceability matrices
Writing effective, maintainable test cases and test suites
Equivalence Partitioning, Boundary Value Analysis, Decision Tables
Exploratory testing as a structured discipline
Test levels: Unit, Integration, System, Acceptance
Smoke, sanity, and regression testing; Black/White/Grey Box; Alpha/Beta testing
03Defect Management4 lessons+
Bug lifecycle, severity vs. priority
Writing bug reports developers actually want to read
AI Spotlight: summarizing logs and screenshots into a clear bug report
AI-suggested severity/priority — with tester review before submission
04AI-Assisted Manual Testing5 lessons+
Prompt engineering fundamentals for QA
Generating test cases and scenarios from user stories with ChatGPT/Claude
AI-assisted exploratory testing: suggesting risk areas and edge cases
Generating synthetic test data with AI
Data privacy and compliance when using AI with sensitive (banking) data
05Project Checkpoint: Manual QA Baseline4 lessons+
Building a full manual test suite against saucedemo.com
Executing test cases and logging results
Writing a complete bug report set
Packaging the manual QA baseline as a reference spec for automation
06API Testing Fundamentals4 lessons+
REST and SOAP basics, HTTP methods, status codes
Postman: collections, environments, variables
Reading Swagger/OpenAPI specifications
Designing manual test cases for CRUD operations, auth, and negative scenarios
07AI-Powered API Testing with Postman3 lessons+
Postbot: generating assertions from plain-English prompts
Reviewing and correcting AI-generated test scripts before trusting them
Combining manual judgment with AI-assisted test authoring
08SQL & Database Fundamentals for QA4 lessons+
Relational database basics
Writing SELECT, JOIN, and filter queries
Backend data validation for API and UI tests
Hands-on practice with MySQL
09Project Checkpoint: API Test Suite v14 lessons+
Building a Postman collection against Swagger Petstore and restful-booker
Adding Postbot-assisted assertions
Writing SQL queries to confirm API responses match database state
Finalizing the collection as the seed for future API automation
UPCOMING GROUPS
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STARTS
To be announced
Online- Schedule
- To be announced
- Format
- Online
- Duration
- 7 weeks · 42 hours
- Language
- Confirm with advisor
“The program helped me connect individual skills into the way real teams design, build and deliver software.”
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Explore graduate resultsAPPLICATION THROUGH INGRESS PORTAL
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We use one Portal account for applications, assessments and future learning progress. You will not need to email your details or select the training again.
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SELECTED TRAININGQA Engineer & AI-Assisted QA TestingOnline
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