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Inspect, reproduce, and isolate failures across browsers, APIs, and distributed systems.
Ce cours comprend 52 labs pratiques — entraînez-vous dans de vrais environnements.
Haithem Mihoubi
Formateur
Cours gratuit
Inscription instantanée — toutes les leçons incluses
Ce cours inclut :
Inspect, reproduce, and isolate failures across browsers, APIs, and distributed systems. 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.
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.
Networking for QA
Cours gratuit
Networking for QA walkthrough: Networking concepts every QA engineer needs
OSI Model
TCP
UDP
DNS
HTTP
HTTPS
Cookies
Sessions
REST
SOAP
Load Balancers
Reverse Proxy
Chrome DevTools
Wireshark
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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.
En vedetteBuild real machine learning systems from first principles — then discover why your first working model was lying to you, and fix it.
JWT
OAuth 2.0
Authentication
Authorization
GraphQL
Headers
Status Codes
Caching
API Gateway
CDN
Postman
Browser Network Inspector