Unit 1 — Agent Fundamentals¶

Overview¶

Unit 1 builds the conceptual foundation needed to understand AI agents:

What is an agent? The agent loop, environment, and goals
LLMs as the reasoning engine — model families and special tokens
Tools — how agents take actions in the world
The ReAct pattern — Thought → Action → Observation

Sections¶

Key concepts at a glance¶

graph LR
    A[User goal] --> B[LLM Reasoning]
    B --> C{Tool call?}
    C -- yes --> D[Execute Tool]
    D --> E[Observation]
    E --> B
    C -- no --> F[Final Answer]

Notebooks¶

Notebook	Description	Open
`notebooks/unit1/01_first_agent.ipynb`	Build your first agent from scratch

Notes¶

Add your unit 1 notes here.