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Turn engineering evidence into interviews, offers, and a sustainable growth plan.
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 :
Turn engineering evidence into interviews, offers, and a sustainable growth plan. 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.
Career and Certification Preparation walkthrough: QA career, interviews, and certification prep
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.
Career and Certification Preparation
Cours gratuit
QA Resume
LinkedIn Profile
GitHub Profile
Portfolio
Career Roadmap
Interview Questions
Mock Interviews
Coding Challenges
QA Challenges
Automation Challenges
Real Company Scenarios
ISTQB Preparation
SDET Interview Preparation
HR Interview Preparation
Salary Negotiation
First 90 Days
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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.