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Operate test environments, investigate logs, and automate repeatable diagnostics.
Ce cours comprend 37 labs pratiques — entraînez-vous dans de vrais environnements.
Haithem Mihoubi
Formateur
Cours gratuit
Inscription instantanée — toutes les leçons incluses
Ce cours inclut :
Operate test environments, investigate logs, and automate repeatable diagnostics. 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.
Linux for QA walkthrough: Linux command line for QA workflows
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.
Linux for QA
Cours gratuit
Linux Fundamentals
Filesystem
Permissions
SSH
Processes
Systemctl
Networking
Cron
Shell
Bash
grep
awk
sed
find
tail
head
curl
wget
zip
tar
Operational Troubleshooting
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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.