LARGE LANGUAGE MODELS FOR AGENTS, RAG, AND REAL-WORLD AI SYSTEMS: Understand Tokens, Context Windows, Tool Use, Evaluation, Guardrails, and Production LLM Workflows

Learn how to design LLM systems that move beyond simple prompting and work reliably with RAG, tools, agents, evals, guardrails, and production workflows.

Large language models can generate fluent answers, but real AI applications need more than good text. They need grounded retrieval, safe tool use, structured outputs, permission checks, memory, observability, evaluation, and clear boundaries around what the model can and cannot do.

Large Language Models for Agents, RAG, and Real-World AI Sys...