Alexander Garcia

DataCamp Associate AI Engineer for Developers series: Part 3

Talking about the Introduction to Hugging Face course at DataCamp as part of the Associate AI Engineer for Developers course

Read time is about 3 minutes

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Background

As noted in my other blog post about my New Years Resolution 2026 I have been working through my Associate AI Engineer for Developers course on DataCamp. To keep myself on task to accomplishing my goal I plan to document my experience and what I've learned in each course.

Course

Introduction to Hugging Face

Prerequisites: Python

This course covers two main sections:

  • Getting Started with Hugging Face
  • Building Pipelines with Hugging Face

Review

tl;dr - This was my favorite course so far in the series. I had a lot of fun with the practical project using PyPDF, which gave me an idea for a personal project.

Here is what I learned:

  • How to navigate the Hugging Face Hub to find and evaluate models and datasets
  • Building pipelines for NLP tasks including text classification, summarization, and document question-answering
  • When to use AutoModel and AutoTokenizer classes for advanced customization beyond standard pipelines

Pros/Cons

Pros:

  • The hands-on exercises helped reinforce concepts through interactive coding practice
  • Practical examples demonstrated real-world use cases that I can apply to my own projects

Cons:

  • I wish there was more content and practical exercises since I had so much fun with this course

Final thoughts

I would highly recommend this course to everyone interested in getting started with Hugging Face. It provides a solid foundation for working with pre-trained models and building NLP pipelines.

Here is my certificate if anyone cares to see.