Learn Series

Ai Fundamentals

Browse lessons in this series.

  • Lesson 1

    LLMs & Reasoning Models

    A plain-language guide for the AI-Native Compliance Committee.

    Open

  • Lesson 2

    RAG and Tools

    How AI gets information it was not trained on, where retrieval fails, and what tool-calling changes for governance and accountability.

    Private

  • Lesson 3

    MCPs and Plugins

    How AI platforms connect to external systems, how MCP standardizes tool access, and what compliance teams must govern at every data boundary.

    Private

  • Lesson 4

    Common Tools

    Understanding Your AI Platform. This lesson maps the model, retrieval, and tool stack onto ChatGPT, Claude, Gemini, Cursor, and Claude Cowork.

    Private

  • Lesson 5

    Prompting & Context Engineering

    How to Talk to AI Models Deliberately. The five-layer prompt framework, zero-shot vs. few-shot prompting, chain-of-thought, and anti-patterns for compliance workflows.

    Private

  • Lesson 6

    AI Agents & Automated Workflows

    From single model calls to multi-step automated processes: how agents work, where they fail, and what oversight compliance requires before you trust the output.

    Private

  • Lesson 7

    Evaluating & Validating AI Output

    Closing the gap between "the AI said it" and "I can rely on it." Detection techniques, validation prompts, and reliance standards for compliance output.

    Private

  • Lesson 8

    Model Risk Management for AI

    Before you can build a governance program, you need to answer a threshold question regulators will ask: is your use of AI a "model" under SR 11-7? That determination changes your entire oversight obligation.

    Private

  • Lesson 9

    AI Risk: Domain-Specific Exposures

    SR 11-7 compliance is necessary but not sufficient. These risks apply wherever AI touches your operations — in lending decisions, data handling, vendor relationships, cybersecurity posture, and consumer-facing communications.

    Private

  • Lesson 10

    Building AI Governance

    This lesson presents a practical governance operating model for AI adoption in compliance teams.

    Private