Getting Started with AI Agents

Your first steps toward building functional AI agents

Prerequisites

Before you dive into building AI agents, it's helpful to have some foundational knowledge and tools in place. Don't worry if you're missing some of these - you can always learn as you go!

Technical Requirements

  • Python basics: Familiarity with Python programming (variables, functions, loops, etc.)
  • Package management: Experience with pip or conda for installing libraries
  • API concepts: Understanding of how APIs work and how to make API calls
  • Virtual environment: Knowledge of how to set up Python virtual environments

Accounts & API Keys

  • LLM provider account: Sign up with OpenAI, Anthropic, or another provider
  • API keys: Generate and securely store API keys for your chosen services
  • GitHub account: For accessing example repositories and sharing your work

If you're missing any of these prerequisites, don't worry! We'll provide links to resources that can help you get up to speed.

New to AI Agents?

If you're completely new to AI agents or want to understand the core concepts before diving into the implementation, we recommend starting with our comprehensive introduction.

The introduction covers fundamental concepts, explains how AI agents work, and provides context for the practical knowledge in this guide.

Read the Introduction First

Next in Your Learning Journey

Now, explore these topics to deepen your understanding:

Continue building and experimenting with different agent designs to gain practical experience!

Essential Resources

Tools and references to help you on your AI agent development journey

Documentation

Example Projects

Learning Materials

Community & Support