This module covers the foundational AI knowledge you need before you can guard AI systems. You will learn how neural networks learn, how large language models generate text, how models are trained and aligned, and how production AI applications are assembled.

A guardrail engineer does not need to train models, but they must understand the technology deeply enough to know where vulnerabilities come from and why certain guardrail strategies work while others fail. Every concept in this module connects directly to a guardrail decision you will face in later modules.

Section 0 Learning Objectives Section 1 Neural Networks & Deep Learning Section 2 Large Language Models Section 3 LLM Inference & Text Generation Section 4 LLM Training Pipeline Section 5 Production AI System Architecture Section 6 Key Takeaways
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