Global Certificate in Music & Audio AI Frontiers
-- viewing nowThe Global Certificate in Music & Audio AI Frontiers is a comprehensive course designed to empower learners with the essential skills needed to thrive in the rapidly evolving music and audio AI industry. This course highlights the importance of AI in music and audio, covering topics such as music information retrieval, generative models, and intelligent music production.
4,092+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
About this course
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course Details
• Introduction to Music & Audio AI – Overview of the intersection of music, audio, and artificial intelligence, including key concepts and use cases.
• Data Preparation for Music & Audio AI – Techniques for preparing and processing music and audio data for machine learning.
• Audio Feature Extraction – Methods for extracting meaningful features from audio data for machine learning tasks, such as mel-frequency cepstral coefficients (MFCCs) or chroma features.
• Deep Learning Models for Music & Audio – Exploration of various deep learning architectures and techniques for music and audio applications, such as convolutional neural networks (CNNs) or recurrent neural networks (RNNs).
• Generative Music and Audio Models – Overview of generative models for music and audio, including variational autoencoders (VAEs) and generative adversarial networks (GANs).
• Music Information Retrieval – Techniques for extracting information from music, such as genre classification, tempo estimation, and beat tracking.
• Audio Source Separation – Methods for separating audio signals into individual sources, such as vocals, drums, or other instruments.
• Applications of Music & Audio AI – Real-world applications of music and audio AI, including music generation, recommendation, and synthesis.
• Ethical Considerations in Music & Audio AI – Discussion of ethical considerations and potential biases in the development and deployment of music and audio AI systems.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Course fee
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
- Full course access
- Digital certificate
- Course materials
Get course information
Earn a career certificate
