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Connect quality work to product discovery, delivery, operations, and risk.
Ce cours comprend 35 labs pratiques — entraînez-vous dans de vrais environnements.
Haithem Mihoubi
Formateur
Cours gratuit
Inscription instantanée — toutes les leçons incluses
Ce cours inclut :
Connect quality work to product discovery, delivery, operations, and risk. This production-oriented phase combines written instruction, visual models, interactive decisions, and practical work on the shared QA Practice Hub application from manual testing through automation and SDET practices.
Software Engineering for QA walkthrough: SDLC, Agile, and quality in modern delivery
An LLM agent is a system that can execute tasks given in natural language or structured formats. It uses the planning capabilities of Large Language Models (LLMs) by calling tools that enable interaction with its environment. The agent also includes a memory mechanism. Both the agent's process and outcomes are non-deterministic.
LabsInspect, reproduce, and isolate failures across browsers, APIs, and distributed systems.
Software Engineering for QA
Cours gratuit
SDLC
STLC
Agile
Scrum
Kanban
DevOps
DevSecOps
CI/CD
Continuous Testing
Shift Left Testing
Shift Right Testing
Release Management
Requirement Analysis
Risk Analysis
Quality Assurance
Quality Control
Verification
Validation
Whole Team Quality
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En vedetteThe 19 FAANG coding-interview patterns plus an AI-era track (gradient descent, neural nets, transformers, tokenization, vector search, RAG, LLM decoding) — every topic with interactive step-through animations.
En vedetteLabsThe complete hands-on Docker course — 22 real terminal labs covering CLI, registries, Dockerfiles, networking, Compose, security, cleanup, production hardening, and a final interview exam. Built like KodeKloud.