Grubenwald

How can we learn to develop AI agents? By learning Python first, then creating agents step by step. The sections below trace that path.

• Foundations — Core syntax, data, and program structure.
• Practical programming — Files, libraries, environments, and network communication.
• Data science and AI — Numerical tools, analysis, and learning models.
• Classical agents — Rule-based autonomy with state and control loops.
• LLM agents — Language-model reasoning, tools, and workflows.
• Agents SDK — Structured abstractions for building and managing agents.
• Multi-agent systems — Coordinating multiple agents for complex tasks.