Hugging Face recently launched an online course called "Agent Course," designed to help learners gain a deep understanding of the fundamentals and applications of intelligent agents. The course is rich in content and is divided into five units, progressing from basic concepts of agents to final assignment assessments, helping students master the necessary skills.
The first unit of the course is "Welcome to the Course," which provides an overview, guidelines, and required tools to ensure that students have a solid foundation during their learning process. The next unit, "Introduction to Agents," allows students to understand the definition of intelligent agents, the concept of large language models (LLMs), and the use of special symbols.
The third unit focuses on introducing various frameworks, including smolagents, LangChain, LangGraph, and LlamaIndex, which are essential tools and frameworks in current intelligent agent development. The following units explore practical application cases involving SQL, code generation, information retrieval, and the use of device-localized agents, providing students with practical skills training.
The final unit is "Final Assignment and Assessment," where students will complete a comprehensive assignment and receive feedback through an automated assessment system to enhance their learning outcomes. After the course, a leaderboard will be established to showcase students' achievements, motivating them to continue improving.
Additionally, the course requires students to have basic knowledge of Python and large language models to better understand the related content during the learning process. Hugging Face encourages interested developers and researchers to participate in improving the course by submitting questions or engaging in discussions on the Discord platform.
If you want to take part in this meaningful learning project, you can register through the link below; the course is completely free. All participants are encouraged to contribute content on GitHub to help improve the course quality and benefit more learners.
github:https://github.com/huggingface/agents-course?tab=readme-ov-file
Key Points:
🌟 The course content covers the basic concepts of intelligent agents to practical application cases, consisting of five units that build on each other.
🛠️ Students need to have basic knowledge of Python and large language models; the course is free of charge throughout.
📈 There will be an assignment assessment at the end, along with a leaderboard to motivate students to continuously improve themselves.
