Hugging Face has launched a free "Agent Course" designed to help learners master the development skills of smart Agents. The course covers Agent basic concepts, common frameworks, and practical application cases, and ultimately conducts homework assessments and sets rankings to motivate learning. The course has five units in total, step by step, from introductory to actual operation, comprehensively improving students' intelligent Agent development capabilities. The course requires students to have basic Python and large-scale language model knowledge, and participants can also contribute content on GitHub to jointly improve the course.
Hugging Face recently launched an online learning course called "Agent Course", aiming to help learners understand the basics and applications of smart Agents. The course is rich in content and is divided into five units, from the basic concepts of the Agent to the final homework assessment, step by step to help students master the required skills.
The first unit of the course is Welcome to the course, which provides an overview of the course, guidelines and tools required to ensure that participants have a good foundation in their learning process. Next is the "Agent Introduction" unit, where students will understand the definition of intelligent Agents, the concept of large language models (LLMs), and the use of special symbols.
The third unit focuses on the introduction of various frameworks, including smolagents, LangChain, LangGraph and LlamaIndex, which are important tools and frameworks in the development of smart Agents at present. The subsequent units explore practical application cases, involving SQL, code generation, information retrieval and the use of device localization agents, providing students with practical skills training.
The last unit is "Final Homework and Assessment". At this stage, students will complete a comprehensive homework and obtain feedback through the automatic evaluation system to improve learning results. After the course is over, a ranking will be set up to showcase students' achievements and encourage students to make continuous progress.
In addition, the course requires students to have basic knowledge of Python and large language models to ensure that they can better understand relevant content during the learning process. Hugging Face encourages interested developers and researchers to participate in the improvement of the course, by submitting questions or communicating on the Discord Discussion Platform.
If you want to participate in this meaningful learning program, you can register via the link below, and the course is completely free. All participants were encouraged to contribute content to the course on GitHub to help improve the quality of the course 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, with a total of five units, progressing layer by layer.
Students need to have basic Python and large-scale language model knowledge, and the courses are free of charge.
Finally, homework assessment will be conducted and a ranking will be set up to encourage students to continuously improve themselves.
All in all, Hugging Face’s “Agent Course” provides valuable learning resources for developers who want to learn smart Agents, and its free and informative features make it an attractive option. Register now and start your smart Agent learning journey!