AI Workshop: Building AI Applications with Hugging Face Models

This course is designed to equip you with the skills required to develop AI applications using cutting-edge models from Hugging Face. Throughout the course, instructor Dhhyey Desai outlines three hands-on projects: sentiment analysis in multiple languages using the Aya 23 model, object detection in images with the LLaVA model, and automatic speech recognition using wav2vec 2.0. Each chapter guides you through the essential steps of setting up your environment, preprocessing data, implementing the models, and visualizing or post-processing the results. By the end of this course, you'll have practical experience deploying AI solutions across various domains and a solid understanding of how to leverage Hugging Face's powerful APIs.

Learning objectives
Learn the capabilities of Aya 23, LLaVA, and wav2vec 2.0 models.
Implement AI applications for sentiment analysis, object detection, and speech recognition.
Prepare text, image, and audio data for use with Hugging Face models.
Load, implement, and assess the performance of different AI models.