This comprehensive course on Generative AI using Hugging Face equips you with the skills to build real-world NLP applications powered by transformer models. Begin with an introduction to the Hugging Face ecosystem and its role in accelerating AI development. Gain hands-on experience with speech-to-text pipelines and learn how to convert audio into accurate transcripts using pre-trained models. Progress to building sentiment analysis tools that interpret user feedback and classify emotions from text data. Advance your skills in natural language generation by leveraging Hugging Face's pre-trained transformers to create human-like content at scale, ideal for chatbots, summaries, and automated writing.

You should have a basic understanding of Python programming, NLP concepts, and machine learning. By the end of this course, you will be able to: - Build speech-to-text applications using Hugging Face models - Implement sentiment analysis for real-time feedback insights - Generate natural language content using transformer-based models - Apply Hugging Face tools for scalable NLP workflows Ideal for AI developers, data scientists, and NLP practitioners.