🧠 Hugging Face Agents Course

Welcome to the Hugging Face Agents Course repository! This repository contains all the resources you need to dive into the world of agentic AI. You can find the latest releases here.

📚 Table of Contents

1. Introduction
2. Course Overview
3. Topics Covered
4. Installation
5. Usage
6. Contributing
7. License
8. Contact

🌟 Introduction

The Hugging Face Agents Course is designed for developers, researchers, and enthusiasts interested in learning about agentic AI. This course offers a comprehensive approach to understanding how to build intelligent agents using the Hugging Face ecosystem.

📖 Course Overview

This course covers various aspects of agentic AI, including:

• Fundamentals of agents and their architecture
• Implementing agents using Hugging Face tools
• Integrating with LangChain and LlamaIndex
• Practical applications with SmolAgents

Whether you are new to AI or looking to expand your skills, this course provides a structured path to mastery.

🔍 Topics Covered

The course includes the following key topics:

• Agentic AI: Understanding the concept and its significance in modern AI.
• Agents: Exploring different types of agents and their functionalities.
• Hugging Face: Utilizing Hugging Face libraries and models for agent development.
• LangChain: Learning how to connect various AI models to build complex systems.
• LlamaIndex: Discovering how to use LlamaIndex for data management and retrieval.
• SmolAgents: Implementing lightweight agents for specific tasks.

⚙️ Installation

To get started with the course, follow these steps to install the necessary tools and libraries:

1. Clone the repository:

   git clone https://github.com/Justinvarghese511/agents-course.git

2. Navigate to the project directory:

   cd agents-course

3. Install the required packages:

   pip install -r requirements.txt

4. Download and execute the latest release from the Releases section.

🚀 Usage

After installation, you can start using the course materials. The repository includes Jupyter notebooks, scripts, and documentation.

Running Notebooks

To run the Jupyter notebooks:

1. Start Jupyter Notebook:

   jupyter notebook

2. Open the desired notebook from the course materials.

Example Code

Here is a simple example to get you started with an agent:

from huggingface_hub import HfApi

api = HfApi()
model_info = api.model_info("model_name")
print(model_info)

This code snippet demonstrates how to interact with Hugging Face models using their API.

🤝 Contributing

We welcome contributions to improve the course materials. If you would like to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or fix.
3. Make your changes and commit them.
4. Push to your branch and submit a pull request.

Please ensure that your contributions align with the course objectives and maintain clarity in explanations.

📜 License

This repository is licensed under the MIT License. See the LICENSE file for more details.

📬 Contact

For questions or feedback, feel free to reach out:

• Email: your-email@example.com
• GitHub: Justinvarghese511

🎉 Conclusion

Thank you for your interest in the Hugging Face Agents Course. We hope you find the materials helpful and engaging. Don't forget to check the Releases section for updates and new content. Happy learning!