Python: AI & Hugging Face

Released 8/2025
By Steve Kinney
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 6 Lessons ( 4h 54m ) | Size: 868 MB

Spend a full day leveraging the Hugging Face Hub as you build AI apps with Python

Key Takeaways
By participating along with us in the workshop, you’ll learn

Understand the core Hugging Face ecosystem (Hub, Transformers, Datasets, Diffusers, Spaces)
Fine-tune a text model with parameter-efficient LoRA techniques on free Colab GPUs
Generate images with Stable Diffusion via the Diffusers library
Build and deploy a Gradio Space to share your model with the world
Learn essential evaluation, bias-awareness, and security-scan practices
Walk away with working code, reusable notebooks, and next-step learning paths

Is This Workshop for Me?
Python developers, data scientists, and ML enthusiasts who have never used Hugging Face before but want a practical, end-to-end introduction without the deep ops details.

Workshop Details
This full-day, code-first workshop takes Python-savvy learners from zero Hugging Face experience to publishing their own text-and-image AI demos. Through guided labs and live demos, students will touch every major HF library, understand best practices, and leave confident in continuing their AI journey.

Any 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