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Make quality signals fast, reproducible, observable, and enforceable in delivery pipelines.
This course includes 41 hands-on labs — practice in real environments.
Haithem Mihoubi
Instructor
Free course
Enroll instantly — all lessons included
This course includes:
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
Free course
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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