SOFTWARE QUALITY ASSURANCE TESTING · BEGINNER LEVEL

Manual Testing & AI-Assisted QA

Learn the fundamentals of manual software testing including test case design, bug reporting, and test management processes. This course is perfect for beginners entering software quality assurance roles. Experienced trainers provide practical sessions using real-world examples.

Beginner8 weeks32 hoursOn-site

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COURSE HIGHLIGHTS

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Practical teaching

In addition to class hours, you will practice the topics covered with your instructor and mentor dur

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Mentors

The knowledge and skills you learn at the academy will be further strengthened with the mentor syste

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Academic transcript

Assignments and projects are checked by the instructor, and your knowledge and skills are determined

YOUR LEVEL

BeginnerIntermediateAdvancedExpert

WHAT YOU WILL BE ABLE TO DO

The skills you will have by the end of this course.

By the end of this program, graduates will be able to: 1. Design and execute structured manual test plans, test cases, and defect reports using industry-standard techniques (equivalence partitioning, boundary value analysis, exploratory testing). 2. Apply the QA role inside Agile/Scrum, using JIRA and Confluence for test management and documentation. 3. Classify and apply the right test levels and types — unit through acceptance, functional vs. non-functional, smoke/sanity/regression, black/white/grey box. 4. Write bug reports developers actually act on, and use AI to summarize logs/screenshots and draft severity/priority suggestions. 5. Use AI responsibly for test case generation, exploratory testing, and synthetic test data — always reviewing before trusting the output. 6. Test REST APIs manually with Postman (including Postbot's no-code assertion generation) against real, live APIs. 7. Validate backend data with SQL queries against a real relational database. 8. Own a complete manual QA baseline (test suite + bug reports + API test collection) built on real, live applications — portfolio-ready and interview-ready for a Junior QA Engineer role.

CONDENSED SYLLABUS

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01● Software Testing Foundations: SDLC, STLC & the QA Role in Agile5 lessons+

- Why testing matters; 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 inside a Scrum team

- JIRA and Confluence for test management and documentation

02● Test 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; functional vs. non-functional

- Smoke, sanity, and regression testing; Black/White/Grey Box; Alpha/Beta testing

03● Defect Management3 lessons+

- Bug lifecycle, severity vs. priority

- Writing bug reports developers actually want to read

AI Spotlight: Using AI to summarize logs and screenshots into a clear bug report, and to suggest severity/priority — with the tester always reviewing before submitting.

04● AI-Assisted Manual Testing6 lessons+

- Prompt engineering fundamentals for QA (the foundation reused in every later AI module)

- Generating test cases and scenarios from user stories with ChatGPT/Claude

- AI-assisted exploratory testing — prompting AI to suggest risk areas and edge cases

- Generating synthetic test data with AI

- Data privacy and compliance when using AI tools with sensitive (banking) data

Project Checkpoint: Manual QA Baseline: write a full manual test suite and bug report set against saucedemo.com, a real, live e-commerce demo application. This test suite becomes the reference spec that later automation phases will convert into code.

05● API Testing Fundamentals4 lessons+

- REST and SOAP basics, HTTP methods, status codes

- Postman: collections, environments, variables

- Reading Swagger/OpenAPI specifications

Project Checkpoint: Write manual Postman test cases against two real, live public APIs — Swagger Petstore (petstore.swagger.io) and restful-booker — covering CRUD operations, auth, and negative scenarios.

06● AI-Powered API Testing with Postman2 lessons+

- Postbot: generating assertions from plain-English prompts (no code required)

- Reviewing and correcting AI-generated test scripts before trusting them

07● SQL & Database Fundamentals for QA4 lessons+

- Relational database basics; writing SELECT, JOIN, and filter queries

- Backend data validation for API and UI tests

- Hands-on with MySQL

Project Checkpoint: API Test Suite v1: a Postman collection (with Postbot-assisted assertions) against Petstore and restful-booker, backed by SQL queries that confirm the API response matches the database. This collection is the seed for the Phase 5

UPCOMING GROUPS

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Class hours

32 hours

On-site

Schedule: To be announced
Format: On-site
Duration: 8 weeks · 32 hours
Language: Confirm with advisor

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YOUR INSTRUCTOR TEAM

Specialists matched to the modules they teach.

Course delivery is supported by practitioners across engineering, architecture and production backend development.

Elmdar Aliyev

Chapter LeadKapital Bank

Leyla Musayeva

QA EngineerCompeto LLC

CONTEXTUAL PROOF

“The program helped me connect individual skills into the way real teams design, build and deliver software.”

See real graduate stories from the Ingress community.

Explore graduate results

APPLICATION THROUGH INGRESS PORTAL

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SELECTED TRAININGManual Testing & AI-Assisted QAOn-site

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