Part 1: Getting Started
🚀 Start from scratch — understand the core concepts of Agents, set up your development environment, and master the fundamentals of Large Language Models.
This part contains 3 chapters to help you build a complete understanding of Agents and have a working development environment ready to go.
| Chapter | Content | What You'll Gain |
|---|---|---|
| Chapter 1 What is an Agent? | Agent definition, architecture, history, and use cases | A complete conceptual framework |
| Chapter 2 Development Environment Setup | Python environment, core library installation, API Key management | A ready-to-run development workbench |
| Chapter 3 LLM Fundamentals | LLM principles, Prompt Engineering, API calls | Confident mastery of the Agent's "brain" |
Start learning: Chapter 1: What is an Agent?