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Kubernetes Orchestrate containers at scale: deployment, scaling, updates, and monitoring. Beginner to intermediate RAG Systems in Production Build a retrieval-augmented generation pipeline: chunking, embeddings, vector database, reranking, evaluation. Intermediate to advanced Introduction to Generative AI The principles of generative AI in 4 weeks, for beginners with no technical prerequisites (in English). Beginner · free Introduction to LLMs Understand how large language models work, with no programming or AI background required (in English). Beginner · free Introduction to Prompt Engineering Prompt engineering techniques to communicate effectively with AI models (in English). Beginner · free Linux Training Master Linux systems and server administration: shell, permissions, users, processes, networking, services. Beginner to intermediate Operating Systems Security-focused Windows and Linux: vulnerabilities, system hardening, and ethical penetration testing. Intermediate Cloud Computing Service AWS training in 15 modules: infrastructure, EC2, storage, networking, and cloud deployment. Intermediate Spring Boot Training Modern Java applications: Spring Core, REST APIs, JPA, security, microservices, and production deployment. Intermediate to advanced Artificial Intelligence Course (in Arabic) AI fundamentals, machine learning, deep learning, and practical applications, written in Arabic. Beginner to intermediate Generative AI Complete Complete course on generative AI: models, architectures, practical applications, and deployment (in English). Intermediate to advanced Large Language Models Complete Architectures, training, fine-tuning, and production deployment of large language models, 12 weeks (in English). Intermediate to advanced LLM Fine-Tuning Complete Data preparation, LoRA/QLoRA, evaluation, and deployment of fine-tuned models (in English). Advanced Prompt Engineering Complete 10 progressive modules with quizzes to master the art of communicating with AI (in English). Intermediate MLOps and LLMOps Complete 14 modules to put ML and LLM systems into production: versioning, pipelines, monitoring, deployment (in English). Advanced

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