Applied LLM for Enterprise is a hands-on, architecture-first program designed to help professionals build reliable, production-ready AI systems using Large Language Models. The course begins with a deep understanding of how LLMs actually learn and generate responses — covering tokens, embeddings, transformers, context windows, and model behavior. Participants explore core limitations such as hallucinations, knowledge cut-off, reasoning constraints, and statelessness. From there, the program shifts to engineering solutions. Learners apply structured prompt design, tool integration, function calling, Retrieval-Augmented Generation (RAG), vector databases, memory strategies, and AI agent orchestration to overcome LLM limitations and build dependable systems. The emphasis is not on experimentation, but on system design — architecting secure, scalable, enterprise-ready AI applications grounded in real-world use cases. By the end of the program, participants build and present a functional AI application that connects models, tools, and private data into a cohesive, business-ready solution.