A practical introduction to the LLM concepts I need to understand as part of my Claude Certified Architect – Foundations (CCAR-F) preparation. We'll build the mental models behind tokens, context, context windows, model input and output, and the capabilities and limitations of large language models, using simple explanations, examples, and hands-on exploration.
A dependency-based learning path for preparing for the Claude Certified Architect – Foundations (CCAR-F) exam. I'll work through the concepts step by step, starting with LLM fundamentals and Claude API basics, then moving through prompting, tool use, structured output, MCP, agentic systems, task decomposition, multi-agent architecture, Claude Agent SDK, Claude Code, context management, reliability, and architecture. Each topic will have its own focused article, with examples, hands-on experiments, and links to the relevant CCAR-F domains and scenarios.