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Build & Deploy AI with Hugging Face - Hands-On

Master Hugging Face for Building Scalable AI Models and Deployments

Yogesh Raheja, Thinknyx Technologies

Created by Yogesh Raheja, Thinknyx Technologies

Explore the Hugging Face ecosystem through practical projects focused on building, fine-tuning, and deploying AI models. You will work with tools like Transformers, Datasets, and Spaces to create scalable, real-world AI applications. Gain hands-on experience that prepares you for production-ready AI solutions.

Packt | Jan 2026 | 181 min

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LevelIntermediate
CategoriesLLM Engineering, Deep Learning Architectures and Frameworks, Python

What You Will Learn

You will start by exploring how models, datasets, and Spaces work together in Hugging Face. Through hands-on projects, you will learn to use pre-trained models, fine-tune them for specific tasks, and prepare data for machine learning. The journey wraps up with deploying your AI models as interactive applications accessible to users.

Key Features

  • Fine-tune and optimize models using the Hugging Face Transformers library
  • Prepare and tokenize datasets efficiently for machine learning workflows
  • Deploy AI models as interactive web applications using Spaces and Gradio

Target Audience

Designed for developers, machine learning engineers, and data scientists who already understand Python and basic machine learning concepts. If you want to build and deploy AI solutions using modern tools, and are ready to move beyond the basics, this course will help you gain practical, job-ready skills.

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