Artificial Intelligence Generative AI Python

Introduction to Creating AI Agents in Python (Part 2: Hands on)

Richmond Alake, Staff Developer Advocate for AI and ML at MongoDB, teaches you how to put the concepts you learned in the first part of the two part series into practice.

Richmond Alake

2024年11月21日

無料アカウントを作成する

練習とトラックであなたの進捗を記録しましょう。

Googleで登録続行すると、次に同意したものとみなされます：利用規約、プライバシーポリシー、およびデータが米国内に保管されることに同意したものとみなされます。

AI agents are becoming a vital tool for automating tasks and enhancing decision-making across industries. However, understanding how to create these agents from scratch in Python can be daunting without the right foundation. From knowing where AI agents can be applied to understanding their underlying architecture, learning these fundamentals is key to building effective and efficient agents that deliver real-world value.

In the second part of this series, Richmond Alake, Staff Developer Advocate for AI and ML at MongoDB, teaches you how to put the concepts you learned yesterday into practice. You'll build an AI agent from scratch and test its capabilities.

This is part two of a two part session. Find part one here.

Key Takeaways: