{"id":6266,"date":"2026-08-10T09:31:29","date_gmt":"2026-08-10T09:31:29","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-ai-engineer-core-track-llm-engineering-rag-qlora-agents-2026-6\/"},"modified":"2026-08-10T09:31:29","modified_gmt":"2026-08-10T09:31:29","slug":"udemy-ai-engineer-core-track-llm-engineering-rag-qlora-agents-2026-6","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-ai-engineer-core-track-llm-engineering-rag-qlora-agents-2026-6\/","title":{"rendered":"Udemy \u2013 AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents 2026-6"},"content":{"rendered":"
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Description<\/h2>\n

AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agent<\/strong>s is a training course on working with large language models (LLM) published by Udemy Online Academy. AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents is a comprehensive course designed to equip developers with the knowledge and skills to work with large language models (LLMs) such as GPT-3 and GPT-4. This course covers the fundamentals of LLMs, how they are taught, and their applications in Natural Language Processing (NLP). Individuals learn how to fine-tune, deploy, and integrate LLMs into real-world applications such as chatbots, automated content generation, and sentiment analysis. Through hands-on projects, learners will gain hands-on experience in teaching LLMs, optimizing their performance, and managing AI-based workflows.<\/p>\n

This course covers the basics of large language models, their training, and their applications to NLP tasks. Learners will gain hands-on experience in fine-tuning, deploying and integrating the LLM for projects such as chatbots and content creation, while also exploring ethical challenges and optimizing AI performance for real-world solutions. This course also examines ethical considerations and challenges in working with artificial intelligence systems. At the end, individuals will have the expertise to build, deploy and scale artificial intelligence solutions using LLM technology.<\/p>\n

What you will learn in AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents:<\/h3>\n