Build job-ready skills with our Classroom and Online Hugging Face Training at WebAsha Technologies. It is hands-on, practical and focused on employability.
Training Overview:
is a hands-on, job-oriented program on the Hugging Face ecosystem - the open-source home of AI models. It covers the Transformers library, using pre-trained models for NLP, vision and audio, pipelines, tokenizers, datasets, fine-tuning models, the Model and Dataset Hubs, Gradio demos and Spaces, and deploying models - preparing you for machine learning and AI engineer roles with open-source AI.
Intended Audience:
This course is ideal for developers, machine learning practitioners and data professionals who want to master the Hugging Face ecosystem for open-source AI.
Topics Covered:
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Transformers Library: The core toolkit.
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Pipelines: Models in one line.
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Pre-Trained Models: NLP, vision, audio.
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Tokenizers & Datasets: Preparing data.
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Fine-Tuning: Trainer API and LoRA.
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Model Hub: Sharing and using models.
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Gradio & Spaces: Demos and hosting.
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Deployment: Inference endpoints.
Requirements:
Basic computer familiarity is recommended. Online participants need a stable internet connection and a laptop/desktop for the live labs.
Pre-Requisites:
Basic Python and some machine-learning familiarity help. If you are new to Python, our Python Programming course is a good starting point.
Career Benefits:
Hugging Face skills are in demand. In India, ML and AI engineers with open-source AI skills typically earn ₹6 LPA to ₹40+ LPA.