The Large Language Model (LLM) course on Jast Tech is designed to provide a comprehensive understanding of how modern generative AI systems are built, trained, optimized, and deployed at scale. This course begins with the evolution of language models and progresses into transformer architectures, tokenization strategies, embeddings, and attention mechanisms that form the backbone of LLMs. Learners explore pre-training techniques, supervised fine-tuning, reinforcement learning from human feedback (RLHF), and parameter-efficient tuning methods such as LoRA and adapters. The curriculum also covers prompt engineering, evaluation metrics, hallucination mitigation, and alignment strategies for safe AI. Practical exposure is given to inference optimization, deployment pipelines, and integration with enterprise applications using APIs and vector databases. Ethical considerations, governance, and cost-performance trade-offs are addressed to prepare learners for real-world challenges. By the end of the course, participants will have the skills to design, fine-tune, and deploy LLM-powered solutions across industries such as healthcare, finance, education, and customer support.