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Build the computing mental models every tester uses to diagnose systems.
Ce cours comprend 32 labs pratiques — entraînez-vous dans de vrais environnements.
Haithem Mihoubi
Formateur
Cours gratuit
Inscription instantanée — toutes les leçons incluses
Ce cours inclut :
Build the computing mental models every tester uses to diagnose 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.
Computer Fundamentals walkthrough: Computer science fundamentals for testers
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.
Inspect, reproduce, and isolate failures across browsers, APIs, and distributed systems.
Computer Fundamentals
Cours gratuit
Hardware
Software
CPU
RAM
SSD
Memory
Storage
Operating Systems
Processes
Threads
Virtualization
Cloud Basics
Command Line
Networking Basics
Client Server Systems
Ports and Services
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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.
The 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.