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Make quality signals fast, reproducible, observable, and enforceable in delivery pipelines.
Ce cours comprend 41 labs pratiques — entraînez-vous dans de vrais environnements.
Haithem Mihoubi
Formateur
Cours gratuit
Inscription instantanée — toutes les leçons incluses
Ce cours inclut :
Make quality signals fast, reproducible, observable, and enforceable in delivery pipelines. 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.
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.
CI/CD for QA
Cours gratuit
CI/CD for QA walkthrough: GitHub Actions and CI/CD pipelines
GitHub Actions
GitLab CI
Jenkins
Azure DevOps Pipelines
Docker
Docker Compose
Kubernetes
Selenium Grid
Selenoid
BrowserStack
Sauce Labs
AWS Testing
Azure Testing
Artifact Management
Secret Management
SonarQube
Quality Gates
Deployment Pipelines
Flaky Test Quarantine
Pipeline Observability
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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.