Open Source AI with Python & Hugging Face

Name: Open Source AI with Python & Hugging Face
Price: 9 USD
Availability: InStock

4h 33m 31s

English

Paid

September 20, 2025

Course description

This hands-on one-day workshop is designed for those who are already familiar with Python but are just starting to work with Hugging Face. Over the course of the day, you will progress from zero to publishing your own AI applications for working with text and images.

You can expect step-by-step lab exercises, live demonstrations, and a clear understanding of the key tools of Hugging Face. Upon completion of the course, you will confidently navigate the ecosystem and continue your journey in the field of AI with working code and a clear development plan.

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#	Title	Duration
1	Introduction	03:59
2	Google Colab & Hugging Face	05:53
3	Sentiment Analysis & Text Generation	05:55
4	Zero-Shot Classification & Fill Mask	04:39
5	Google Colab Setup & Configuration	14:05
6	Pipeline Basics: Sentiment Analysis	10:36
7	Model Contents & Text Generation	12:41
8	Zero Shot Classification	13:52
9	Question & Answer Models	11:59
10	Fill-Mask with BERT	07:57
11	Summarization & Named Entity Recognition	08:08
12	Tokenization Overview	11:17
13	Batches & Attention Masks	03:27
14	Encoding & Decoding Text	13:20
15	Batch Processing Multiple Strings	06:10
16	Transformers Overview	08:20
17	Transformers Q&A	10:44
18	Attention Mechanism to Focus Model	10:28
19	Encoder & Decoder Transformers	05:58
20	Decoding Strategies for Text Generation	16:12
21	Fine Tuning Overview	06:28
22	Parameter-Specific Fine Tuning	03:40
23	Preparing & Loading the Dataset	08:44
24	The Fine-Tuning Process	10:08
25	Stable Diffusion Overview	07:14
26	Prompt Engineering for Images	05:07
27	Generating Images with Stable Diffusion	17:33
28	Image-to-Image Generation	10:28
29	Training Stable Diffusion with DreamBooth	14:51
30	Wrapping Up	03:38