Testing theory
QA foundations: principles, process, requirements, testing levels and types, documentation, defects, risk, and release readiness.
27 materialsOpen direction03 / KNOWLEDGE BASE
A practical map for growing as a quality engineer.
Questions, explanations, examples, and hands-on exercises across testing, automation, delivery, security, cloud, and AI engineering.
01 / CATALOG
Directions
Start with a published topic or see what is being prepared next.
Test design
Test design techniques, risk modelling, and building useful test coverage.
3 materialsOpen directionAutomation architecture
Test framework structure, layer boundaries, maintainability, and reliable quality signals.
3 materialsOpen directionPython and Coding Whiteboard
Python for QA, algorithmic thinking, and practical technical interview exercises.
3 materialsOpen directionTypeScript, Playwright and BDD
Type-safe web automation, Playwright patterns, and pragmatic BDD.
3 materialsOpen directionWeb, HTTP and networking
How browsers, protocols, and network layers affect system behaviour and testability.
3 materialsOpen directionAPI, SQL and data
API contracts, database work, data integrity, and integration testing.
3 materialsOpen directionCI/CD, Docker and Kubernetes
Pipelines, containers, orchestration, and fast feedback from quality checks.
3 materialsOpen directionSecurity and DevSecOps
Threat modelling, security testing, and integrating security practices into delivery.
3 materialsOpen directionSystem Design and Cloud
Distributed system components, architecture trade-offs, and testing cloud solutions.
3 materialsOpen directionAI, LLM, RAG and agents
LLM solution design, retrieval architectures, agents, and their practical testing.
3 materialsOpen directionLLMOps, Evaluation and Observability
LLM quality evaluation, experiments, monitoring, and control of AI system behaviour.
3 materialsOpen direction