+91 96452 47165

Courses > HuggingFace for Developers -1 to 1

HuggingFace for Developers -1 to 1

Students
Last Updated: Sep 02, 2025

About Course

This 5-day evening bootcamp is designed for developers and machine learning practitioners looking to build and deploy real-world natural language processing (NLP) and generative AI applications using HuggingFace. Participants will explore the HuggingFace ecosystem, including Transformers, Datasets, Tokenizers, Accelerate, and the Hub. Through a series of structured hands-on sessions, you will learn to perform inference with pre-trained models, fine-tune transformers on custom data, deploy models via HuggingFace’s Inference API, and build interactive AI applications using Gradio. The course combines practical coding, deployment, and project-building experience to help you go from experimentation to production in NLP and AI.

What Will You Learn?

  • Learn to use the industry-standard transformers library effectively
  • Fine-tune transformer models like BERT, RoBERTa, GPT-2 for custom tasks
  • Understand tokenization and model architecture for efficient preprocessing
  • Host and share models through HuggingFace Hub
  • Deploy AI apps using Inference API or build interactive Gradio apps

Course Content

Day 1 – Introduction to HuggingFace Ecosystem

  • What is HuggingFace?
    00:20:00
  • Installing and Using Transformers Library
    00:20:00
  • Hands-on
    00:20:00

Day 2 – Working with Pretrained Models & Tokenizers

Day 3 – Fine-tuning Transformers on Custom Data

Day 4 – Model Deployment & Sharing

Day 5 – Building Real-World AI Applications

More Courses
View All Course
Ecommerce
LIVE
  • 29 Lessons

Performance Marketing for eCommerce

href="https://devmoguls.com/profile/kcjagadeep?view=instructor">
KC Jagadeep
Available in:
Eമ
LIVE
  • 15 Lessons

HuggingFace for Developers

href="https://devmoguls.com/profile/kcjagadeep?view=instructor">
KC Jagadeep
Available in:
Eമ

Other Courses In This Category:

Available in:
Eമ
₹19,000.00
Buy Now
This Course Includes:
  • Level Intermediate
  • Last Updated September 2, 2025 Last Updated

Material Includes

  • Basic Python knowledge (functions, classes, file handling)
  • Familiarity with machine learning concepts (training, loss, evaluation)
  • A working environment with Python 3.8+, pip, and Jupyter/Colab
  • Access to HuggingFace account (for using Hub and uploading models)
  • GPU access (locally or via Colab/Kaggle) is recommended for fine-tuning

Requirements

  • Basic knowledge of Python (functions, classes, and basic syntax)
  • Familiarity with machine learning concepts (e.g., training, evaluation, datasets)
  • A laptop with stable internet connection for accessing notebooks and tools
  • Python 3.8 or above installed (or use Google Colab for cloud-based development)
  • HuggingFace account (free) for uploading models and accessing the Hub

Share

Audience

  • Python developers working on AI/NLP projects
  • Data scientists or ML engineers looking to integrate transformers into pipelines
  • Educators or researchers wanting to experiment with modern NLP models
  • AI enthusiasts who want to build real-world generative AI applications
  • Teams planning to move from experimentation to production deployment with HF

Want to receive push notifications for all major on-site activities?

✕