Professional Certificate in Music AI: Foundations
-- ViewingNowThe Professional Certificate in Music AI: Foundations is a comprehensive course that bridges the gap between music and artificial intelligence. This certificate program is crucial in today's industry, where AI is revolutionizing the creation, distribution, and consumption of music.
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โข Unit 1: Introduction to Music AI – Understanding the basics of Music AI, its applications, and potential impact on the music industry.
โข Unit 2: Foundations of Music Theory – Learning essential music theory concepts, including scales, chords, rhythm, and harmony.
โข Unit 3: Machine Learning Basics – Gaining a solid understanding of machine learning fundamentals, such as supervised, unsupervised, and reinforcement learning.
โข Unit 4: Neural Networks and Deep Learning – Diving into the world of neural networks and deep learning, including concepts like backpropagation and convolutional neural networks.
โข Unit 5: Audio Signal Processing – Exploring audio signal processing fundamentals, such as Fourier transform, filtering, and feature extraction.
โข Unit 6: Music Information Retrieval (MIR) – Learning about MIR techniques, including melody extraction, tempo estimation, and genre classification.
โข Unit 7: Generative Music Models – Understanding how to create generative models for music, including recurrent neural networks, Variational Autoencoders, and Transformers.
โข Unit 8: Music Recommendation Systems – Learning about recommendation algorithms and their application in music recommendation systems.
โข Unit 9: Ethics in Music AI – Examining the ethical implications of Music AI, including bias, transparency, and creative ownership.
โข Unit 10: Music AI Applications – Exploring practical applications of Music AI, such as automatic music composition, music therapy, and assistive music technology.
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