Hugging Face Audio Course

About this course

This Hugging Face course teaches you how to apply transformer models to audio data — a rapidly growing area in AI. You'll learn to build real-world audio applications like automatic speech recognition (ASR), speaker identification, music generation, and audio classification. Hugging Face is the trusted standard in the open-source AI community, and this course brings their expertise directly to you, free.

What you'll learn

• Build automatic speech recognition (ASR) systems to convert spoken words into text
• Implement speaker diarization to identify and separate different speakers in audio
• Create music generation models that compose or manipulate audio content
• Train and deploy audio classification models to categorize sounds and speech
• Work with pre-trained transformer architectures designed for audio tasks
• Fine-tune models on custom audio datasets for specialized applications
• Deploy audio models and understand practical considerations for production systems

Who this is for

If you're interested in audio AI and have some coding experience, this course will deepen your skills. You don't need audio domain knowledge — just a willingness to learn how transformers work differently with sound.

• Machine learning engineers — expand your portfolio with audio projects and prepare for AI roles increasingly focused on multimodal data
• Data scientists — add audio as a new data modality to your toolkit and unlock use cases in voice tech, music, and speech applications

Prerequisites

Intermediate Python programming skills and basic familiarity with machine learning concepts (what training and validation mean). You should be comfortable with PyTorch or TensorFlow. No prior audio experience needed.

Why this matters for Indian learners

Voice and speech technology are booming in India — from voice-based UPI payments to regional language processing and customer service automation. Companies like Google, Microsoft, Amazon, and Indian startups (Jio, Flipkart, local fintech) are hiring engineers who can build audio AI systems. Audio skills command premium salaries and open doors to roles in speech synthesis, voice assistants, and multilingual AI — areas where India has unique opportunities given its 22+ official languages.

Frequently asked questions

Is this course really free?

Yes, completely free. No hidden fees, no paywall for the certificate.

How long will it take to complete?

The course is designed for 15 hours of focused work. Most learners complete it in 3–4 weeks by spending 3–5 hours per week on lessons and hands-on projects.

Will I get a certificate?

Yes, you'll receive a certificate of completion from Hugging Face upon finishing the course.