BeginnerFree Course
Exploring Open Source AI Models with Hugging Face
Learn to leverage Hugging Face's ecosystem for NLP, Computer Vision, and Audio Processing tasks. This hands-on course covers model selection, inference, fine-tuning, and deployment of state-of-the-art open-source AI models.
Duration
4 weeks
Lessons
28 lessons
Level
Beginner
Price
Free
Resource Outline
Introduction to Hugging Face Ecosystem
- Overview of Open-Source AI Models
- Navigating the Hugging Face Model Hub
- Understanding Transformers Architecture
Natural Language Processing (NLP)
- Sentiment Analysis
- Translation and Summarization
- Sentence Embeddings
Audio Processing
- Zero-Shot Audio Classification
- Automatic Speech Recognition (ASR)
- Text to Speech (TTS)
Computer Vision
- Object Detection with DETR
- Image Classification
- Multi-Modal Models
What You'll Learn
Navigate and select appropriate models from Hugging Face Model Hub
Perform NLP tasks like sentiment analysis, translation and summarization
Implement audio processing including speech recognition and text-to-speech
Apply computer vision models for object detection and image classification
Understand model fine-tuning and deployment strategies
Work with multi-modal models handling text, image and audio inputs
Pre-requisites
- Basic Python programming knowledge
- Familiarity with machine learning concepts
- Access to a computer with internet connection
Join This Resource
Begin your learning journey today
Your Instructor
Deepak Chawla
Founder of HiDevs
Deepak Chawla is a Data Scientist with over seven years of experience in AI, Machine Learning, and Cloud Computing. He co-founded HiDevs to build the largest Generative AI workforce. Prior to HiDevs, he worked at AI Planet, Coffeebeans, Merito, Easyrewardz, Bridgelabz, and Hidden Talent. He studied at M.L.V. Textile Engineering College in Bhilwara. Deepak developed the app "CorrectMe" and offers AI courses through HiDevs.
Who is this resource for?
Students interested in applied AI
Developers looking to integrate AI models
Data scientists exploring pre-trained models
AI enthusiasts wanting hands-on experience with Hugging Face