Udemy – LLM Fine-Tuning Mastery: Basic to Advance & Cloud AI [2025] 2025-7

Udemy – LLM Fine-Tuning Mastery: Basic to Advance & Cloud AI [2025] 2025-7 Downloadly IRSpace

Aug 17, 2025 - 02:39 Updated: Aug 19, 2025 - 14:34

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Udemy – LLM Fine-Tuning Mastery: Basic to Advance & Cloud AI [2025] 2025-7

LLM Fine-Tuning Mastery: Basic to Advance & Cloud AI [2025]. This comprehensive course teaches you how to fine-tune large language models (LLMs) from basic concepts to enterprise deployment and use in cloud platforms. The course begins with an introduction to the Transformer architecture and then covers efficient training methods with different parameters. Each section includes hands-on exercises with standard datasets and real-world examples. The course also teaches integration with cloud platforms such as Azure, AWS, and GCP, and explores optimization strategies and cross-platform migration. Participants hone their skills through hands-on projects that simulate real-world enterprise scenarios. Topics include dataset preparation from raw data to production-ready formats, hyperparameter tuning, model evaluation, and cost management in cloud environments. Finally, the course includes building complete deployment pipelines from prototype to scalable production environments.

What you will learn

Use LoRA and QLoRA adapters to fine-tune BERT, GPT, Llama, Mistral, and DeepSeek with minimal GPU memory.
Implementing RLHF Direct Preference Optimization workflows to align model outputs with human feedback.
Perform supervised instruction tuning to build domain datasets and update weights to increase accuracy on specific tasks.
Compressing large teacher models into efficient student models through knowledge distillation, soft goal transfer, and hidden feature signals.