QA Bash Learning
Structured courses from manual testing foundations to advanced automation, API testing, and AI-assisted QA.
Demystify AI, ML, and LLMs, learn to prompt effectively, and understand AI's real limits — the vocabulary and literacy every QA engineer needs before using AI tools or testing AI systems.
Every core data structure and algorithm technique, from your first array to graph algorithms and dynamic programming — built for both real engineering work and technical interviews.
Python the way working QA engineers and SDETs actually use it — from your first script to idiomatic, typed, tested, async, production-ready code. Every lesson is built around automation you would write at work.
Go from zero to writing production-quality Playwright tests. You'll learn the locator API, Page Object Model, fixtures, parallelism, and CI integration — structured as a working engineer would actually teach it.
Everything between "hello world" and writing production-grade software — core programming fundamentals, clean code, git, debugging, and the engineering practices that separate hobbyists from professionals.
Everything a new tester needs — SDLC, test planning, bug lifecycle, and the mindset of quality. Zero experience required.
Query databases to verify data, detect bugs, and design data-driven tests — MySQL & PostgreSQL focused.
From how a single HTTP request travels across the internet to designing systems that serve billions of users — scalability, databases, distributed systems, and real system-design case studies.