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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.
Phase 1 walkthrough: Computer science fundamentals for testers
Go from the agentic loop to governed, production multi-agent systems: tool use, planning, memory, MCP, agentic RAG, multi-agent orchestration, safety, sandboxing, observability, and enterprise deployment.
Phase 1: 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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Go from first principles to running production NLP systems: tokenization, embeddings, transformers, fine-tuning, RAG, prompt engineering, alignment, evaluation, safety, and enterprise-grade serving.
Go from first principles to running a production ML platform: data versioning, feature stores, CI/CD/CT, Kubernetes serving, monitoring, drift detection, security, cost, LLMOps, and incident response.
En vedetteA 180-hour beginner-to-expert AI engineering program covering software, data, ML, deep learning, vision, NLP, LLMs, RAG, agents, MCP, MLOps, cloud, security, architecture, and AI SaaS.