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Integrate manual, API, database, automation, performance, security, and CI/CD evidence on QA Practice Hub.
Ce cours comprend 39 labs pratiques — entraînez-vous dans de vrais environnements.
Haithem Mihoubi
Formateur
Cours gratuit
Inscription instantanée — toutes les leçons incluses
Ce cours inclut :
Integrate manual, API, database, automation, performance, security, and CI/CD evidence on QA Practice Hub. 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.
Progressive Capstone Projects
Cours gratuit
Progressive Capstone Projects walkthrough: End-to-end QA capstone walkthrough
Requirements Baseline
Manual Test Portfolio
Defect Investigation Report
Automation Scaffold on QA Practice Hub
E-Commerce End-to-End Quality
Checkout and RBAC Deep Dive
API and Database Consistency
Accessibility and Responsive Review
Performance Baseline on QA Practice Hub
Security Boundary Assessment
CI/CD Quality Pipeline
Parallel Execution and Diagnostics
GitHub Repository
Architecture Diagrams
Test Evidence Portfolio
Executive QA Report
Final QA Sign-off on QA Practice Hub
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