{"id":14446,"date":"2026-08-10T11:13:53","date_gmt":"2026-08-10T11:13:53","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-llm-engineering-fundamentals-generative-ai-agents-rag-2026-2\/"},"modified":"2026-08-10T11:13:53","modified_gmt":"2026-08-10T11:13:53","slug":"udemy-llm-engineering-fundamentals-generative-ai-agents-rag-2026-2","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-llm-engineering-fundamentals-generative-ai-agents-rag-2026-2\/","title":{"rendered":"Udemy \u2013 LLM Engineering Fundamentals : Generative AI, Agents & RAG 2026-2"},"content":{"rendered":"
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Description<\/h2>\n

LLM Engineering Fundamentals: Generative AI, Agents & RAG is a course on building intelligent systems using large language models (LLMs) published by Udemy Online Academy. This is a comprehensive, hands-on course that teaches you the foundational skills needed to build intelligent systems using large language models (LLMs), agent-based workflows, and retrieval-augmented generation (RAG) techniques. You\u2019ll learn how LLMs power modern AI applications, how to effectively engineer notifications, and how to structure agent logic that can make decisions, interact with external APIs, and automate multi-step tasks. The course also covers how to use RAG to combine LLM reasoning with relevant external data\u2014enabling your systems to provide accurate, context-aware answers by retrieving information from knowledge sources or vector databases.<\/p>\n

This course is designed to give you a clear, realistic, and forward-looking understanding of generative AI without focusing on tools, coding, or ad hoc frameworks. Rather than teaching you which buttons to click, this course explains what\u2019s actually happening behind the scenes when an LLM generates text, makes mistakes, or appears intelligent. The course goes beyond theory to explain how LLMs are used in real-world systems, including Regenerative Augmentative Manufacturing (RAG) and AI agents, and why many agent systems fail in production. By the end, you\u2019ll have the skills to design, build, and deploy LLM-based solutions that are both powerful and practical, with key topics including generative AI principles, agent architecture, RAG pipelines, workflow tuning, and real-world deployment covered in a seamless learning experience.<\/p>\n

What you will learn in LLM Engineering Fundamentals : Generative AI, Agents & RAG:<\/h3>\n