Problem Statement : Build a strong practical foundation in working with Large Language Models (LLMs) by understanding how text is processed, how model parameters influence outputs, and how to interact with models using APIs. Learners progress from building conversational systems to generating reliable structured outputs, evaluating model performance, and implementing advanced techniques like fine-tuning, Retrieval-Augmented Generation (RAG), and intelligent agent workflows for grounded, real-world AI applications.