Announcing Hugging Face Fundamentals: A New Learning Track on DataCamp

We're excited to announce a partnership with DataCamp to bring comprehensive and interactive Hugging Face courses to AI/ML engineers and software engineers.
The new Hugging Face Fundamentals skill track combines hands-on courses with a real-world project designed to help you master building modern AI workflows with the Hugging Face ecosystem.
All courses feature interactive, real-world exercises that run directly in your browser, no local setup required, ensuring you gain practical skills applicable to your AI projects immediately.
[!TIP] If you're new to Hugging Face, or working with folks who are, this skill track works through progressive courses from using the Hub to building multi-modal applications and AI agents. Plus, the first course is free until the end of 2025. Start learning today with zero cost or commitment!
The Learning Track
Built in collaboration with the Hugging Face team, the fundamental skill track consists of four comprehensive courses and a real world project that progressively build your expertise.
1. Working with Hugging Face
This 2-hour beginner course is your comprehensive introduction to the Hugging Face ecosystem. Perfect for newcomers to AI and machine learning, it walks you through the fundamentals of working with pre-trained models and datasets. Covered in this course:
- Navigate and search the Hugging Face Hub effectively
- Load and use pre-trained models with the transformers library
- Download and prepare datasets for various NLP tasks
- Build production-ready pipelines for text classification, summarization, and question answering (QA)
- Deploy models for real-world inference scenarios
2. Introduction to LLMs in Python
Take a deeper dive into LLMs, their transformer architecture, and Hugging Face’s transformer library. This course moves inference into custom fine-tuning and evaluation to set you up for real-world projects.
- The nuts and bolts of transformer architecture
- Working with large language models for various NLP tasks
- Fine-tuning models for custom use cases
- Understanding model parameters and optimization techniques
- Working with custom datasets to improve model performance
3. Multi-Modal Models with Hugging Face
This advanced course expands your AI toolkit beyond text to modalities including mages, audio, video, and their combinations. As AI applications increasingly require understanding and generating content across multiple modalities, this course positions you at the forefront of modern AI development. What you’ll explore in the course:
- Build computer vision applications for image classification and analysis
- Process and analyze audio and video content with specialized models
- Create images and videos using state-of-the-art generative models
- Develop multi-modal workflows integrating text, images, audio, and video
- Implement image-text-to-image and image-text-to-text conversion pipelines
- Build visual question answering (VQA) systems that understand and reason about images
4. AI Agents with Hugging Face smolagents
This cutting-edge course introduces you to the future of AI: autonomous agents that can reason, plan, and execute complex tasks independently. Using Hugging Face's lightweight smolagents framework, you'll learn to build AI systems that go far beyond simple question-answering to become true digital assistants capable of interacting with the world. Your learning outcomes:
- Build autonomous agents that reason through complex multi-step tasks
- Create coding agents that generate and execute Python code independently
- Design and orchestrate multi-agent systems for sophisticated workflows
- Implement web browsing capabilities for real-time information gathering
- Deploy agent systems with proper security, sandboxing, and execution controls
Real World Project
The skill track finishes with a real-world project to build a food image classification with the hub, transformers, and everything you’ve learnt!
Next Steps
The entire track is designed for progressive learning, but you can also take individual courses based on your specific skill level, interests, and goals. Check out the Hugging Face Fundamentals Track to get started.