QA Tester + AI: manual, Java and automation program

Course overview

Description generated based on course syllabus and open data.

A QA tester verifies software for defects, reliability and usability. Integrating AI accelerates test design, improves defect prioritization and strengthens analysis quality.

Who this QA Tester + AI program suits and who it does not

Suitable for

• Beginners without a technical degree who are ready for structured software testing study.
• IT newcomers seeking to organize skills in manual testing, SQL, Git and API.
• Practicing professionals (QA/Dev) who need Java, automation (Selenium, REST) and AI practices.
• Teams and corporate clients to unify quality approaches.

Not suitable for

• Those expecting theory only without practical tasks and reviews.
• Those unwilling to work with documentation in English.
• Those not planning to practice test cases, bug reports and automated checks regularly.

Testing and AI challenges → working outcomes

• Unclear requirements → clear artifacts: test plan, test strategy, traceability.
• Slow test design → AI-assisted generation of test cases, equivalence classes and boundary values.
• Insufficient coverage → risk-based testing, regression and smoke checklists.
• Hard-to-reproduce defects → reproduction and analysis via logs, API monitoring and SQL queries.
• Routine checks → automation with Selenium/WebDriver, REST API and basic CI.
• Lengthy reviews → standardized bug reports (Jira), AI summaries and prioritization.

Comparison with QA/AI learning alternatives

Self-study

• Focus: fragmented sources and varying quality.
• Program distinction: aligned path manual → Java → automation → AI practices.

Short video tutorials

• Focus: concept overviews without systematic practice.
• Program distinction: practical tasks, artifact checks and code review.

University technical education

• Focus: fundamentals without an applied toolset.
• Program distinction: industry tools (Jira, Postman, Git, SQL, Selenium, API).

Bootcamp without AI component

• Focus: standard QA without AI.
• Program distinction: AI for test design, log analysis and routine acceleration.

Outcomes after completing the QA Tester + AI program

• Produces test plans, test cases, checklists, bug reports; maintains traceability.
• Uses AI to generate scenarios, summarize test results and explore risks.
• Works with tools: Jira/YouTrack, Postman, Git, SQL, DevTools, Charles/Fiddler.
• Holds Java basics for automation: OOP, Maven/Gradle, JUnit/TestNG, Selenium/WebDriver.
• Tests REST API: statuses, schemas, contract checks; integrates into simple CI.
• Prepares a portfolio project with documentation and example automated tests.