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DeepLearning.AI

Building Code Agents with Hugging Face smolagents

  • up to 1 hour
  • Intermediate

Learn to build code agents with Hugging Face's smolagents in this short course. Understand the architecture and benefits of code agents, and gain skills in deploying secure systems capable of handling complex tasks.

  • Code agents
  • Secure code execution
  • Agentic systems
  • Python

Overview

In this course, you'll explore the evolution of agentic systems and learn why code agents are the next big step. You'll gain insights into the core idea of code agents, their benefits, and how to run them safely using a constrained Python interpreter. By the end, you'll be equipped to build and deploy code agents, ready to optimize their performance in real-world applications.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Self-paced
    course format
  • Live classes
    delivered online

Who is this course for?

AI Enthusiasts

Individuals interested in agentic workflows and looking to explore beyond traditional tool-calling methods.

Developers

Developers who want to learn how to build and deploy secure code agents using Hugging Face’s smolagents.

Data Scientists

Data scientists aiming to enhance their skills in designing, monitoring, and evaluating multi-agent systems.

This course offers a deep dive into building and deploying code agents, a cutting-edge approach in AI. Ideal for developers and AI enthusiasts, it covers essential skills like secure code execution and multi-agent systems, helping you advance your career in AI development.

Pre-Requisites

1 / 2

  • Basic Python knowledge

  • Familiarity with large language models (LLMs)

What will you learn?

Introduction
An overview of the course and its objectives.
A Brief History of Agents
Explores the evolution of agentic systems and their increasing levels of agency.
Introduction to Code Agents
Covers the core idea of code agents and how they write their actions in code.
Secure Code Execution
Learn how to run code agents safely using a constrained Python interpreter and sandboxing.
Monitoring and Evaluating your Agent
Techniques to trace, debug, and assess code agents to optimize their behavior.
Build a Deep-Research Agent
Develop a multi-agent system capable of finding information online and organizing it into an interactive report.
Conclusion
Wrap-up of the course content and key takeaways.
Quiz
A short quiz to test your understanding of the course material.
Appendix - Tips and Helps
Additional resources and tips for building and deploying code agents.

Upcoming cohorts

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