Frontend Masters – Python: AI & Hugging Face 2025-8

Frontend Masters – Python: AI & Hugging Face 2025-8 Downloadly IRSpace

Frontend Masters – Python: AI & Hugging Face 2025-8
Frontend Masters – Python: AI & Hugging Face 2025-8

Python: AI & Hugging Face is a course on how to harness the power of Python to build and deploy AI applications using the Hugging Face ecosystem, published by Frontend Masters Online Academy. This is a comprehensive course designed to teach you how to harness the power of Python to build and deploy AI applications using the Hugging Face ecosystem. The course covers the basics of natural language processing (NLP), machine learning model training, fine-tuning pre-trained transformers, and integrating AI capabilities into real-world projects. Students will explore the Hugging Face transformer library, datasets, tokenizers, and pipelines, while gaining hands-on experience in deploying and optimizing the model.

The course combines theory with practical coding exercises to ensure that participants can confidently apply their skills to a variety of AI-based tasks. This one-day coding course takes Python-savvy learners from zero experience with Hugging Face to publishing their own text and visual AI demos. Through guided labs and live demos, students will become familiar with all of the core HF libraries, understand best practices, and confidently continue their AI journey.

What you will learn in Python: AI & Hugging Face:

  • Understand the core Hugging Face ecosystem (hub, transformers, datasets, broadcasters, spaces)
  •  Fine-tune a text model with parameter-efficient LoRA techniques on Colab’s free GPUs
  •  Produce images with stable publishing via the broadcaster library
  •  Build and deploy a Gradio space to share your model with the world
  •  Learn essential evaluation practices, bias awareness, and security scanning
  •  Enjoy this course with practical code, reusable notebooks, and next-step learning paths
  •  And…

Course specifications

Publisher: Frontend Masters
Instructors: Steve Kinney
Language: English
Level: Introductory to Advanced
Number of Lessons: 6
Duration: 4 hours and 54 minutes

Course topics

Python AI & Hugging Face Content

Python: AI & Hugging Face Prerequisites

Grasp of Python fundamentals (functions, classes, virtual environments)
Familiarity with running Jupyter/Colab notebooks
Basic understanding of machine-learning concepts (datasets, training loops)
A free Hugging Face account (set up before the workshop)
Google account for Colab access

Pictures

Python AI & Hugging Face

Python: AI & Hugging Face introduction video

Installation guide

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Quality: 1080p

Download link

Download – 802 MB

Size

802 MB