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Terence Broad

- Explore how AI can be used to design new musical instruments and interactive systems that respond to gesture, movement, and sound.

- Understand the role of AI as a creative partner in music composition and performance, and examine how this reshapes ideas of creativity and authorship.

- Evaluate the ethical and legal implications of using AI in music, including issues around ownership, attribution, and the rights of artists and performers.

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- Explore how AI can be used to design new musical instruments and interactive systems that respond to gesture, movement, and sound.

- Understand the role of AI as a creative partner in music composition and performance, and examine how this reshapes ideas of creativity and authorship.

- Evaluate the ethical and legal implications of using AI in music, including issues around ownership, attribution, and the rights of artists and performers.

- Experiment with practical tools for generating, manipulating, and performing music using AI, gaining insight into current techniques and future possibilities.

Through hands-on walkthroughs, practical tools, and case studies, you’ll experiment with gesture-based systems, explore real-time music generation, and discover how machine learning can be trained to respond to human input. Alongside these technical explorations, the course invites you to engage with critical questions around creativity, authorship, and the legal implications of AI in music production.

Featuring perspectives from leading artists, choreographers and researchers working at the intersection of AI and music, this course provides both the practical knowledge and critical framework to begin experimenting with sound and AI in your own creative practice. No prior technical experience is required, the course has been designed for anyone with a curiosity and a passion for exploring new ways of making music.

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What's inside

Syllabus

Interaction, music and dance
In this first week of exploring Creative AI: Sound, music and interaction, we will look at how AI can be used to build interactive applications, develop new kinds of expressive musical instruments, and how AI is being used to augment and inform new kinds of dance and choreography performances.
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Career center

Learners who complete Creative AI: Sound, Music and Interaction will develop knowledge and skills that may be useful to these careers:
Creative Technologist
A Creative Technologist bridges the gap between artistic vision and technological innovation, prototyping new digital experiences and interactive installations. This role involves experimenting with emerging technologies to solve creative challenges, often building custom tools or systems for artists and brands. The "Creative AI: Sound, Music and Interaction" course is highly relevant, focusing on how AI can be used to build new kinds of musical instruments and interactive systems that respond to human input. Learners explore gesture-based systems and real-time music generation, which are core skills for a Creative Technologist. The course's hands-on walkthroughs and practical tools directly prepare individuals to experiment with sound and AI in their own creative practice, providing both the technical insight and critical framework needed to excel in this dynamic field.
Music Technologist
A Music Technologist applies scientific and engineering principles to the creation, performance, and recording of music. This individual often designs new instruments, develops audio software, or innovates production techniques. The "Creative AI: Sound, Music and Interaction" course provides a foundational understanding of how artificial intelligence is reshaping music. Learners explore AI's role in designing new musical instruments and interactive systems that respond to gesture, movement, and sound. The course's practical tools for generating, manipulating, and performing music using AI directly equip a Music Technologist with cutting-edge knowledge. By delving into real-time music generation and machine learning trained to human input, individuals gain insights into current techniques and future possibilities, making the course invaluable for anyone aiming to innovate within music technology.
AI Music Composer
An AI Music Composer leverages artificial intelligence tools and algorithms to create original musical pieces, often collaborating with AI as a creative partner. This innovative role explores new frontiers in composition, from generating entire scores to assisting with melodic variations and orchestration. The "Creative AI: Sound, Music and Interaction" course is specifically designed for individuals interested in this evolving field. It examines how AI can act as a creative partner in music composition, reshaping traditional ideas of creativity and authorship. Learners gain practical experience with tools for generating, manipulating, and performing music using AI. This course provides direct insight into current techniques for AI-driven audio and voice generation, equipping aspiring AI Music Composers with the knowledge to experiment and push boundaries in contemporary music creation.
Machine Learning Artist
A Machine Learning Artist integrates machine learning techniques into their artistic practice, creating generative art, interactive installations, or dynamic media experiences. This role demands both creative vision and an understanding of how AI algorithms can be trained and applied to artistic output. The "Creative AI: Sound, Music and Interaction" course offers a highly relevant perspective on the application of AI in creative fields. It specifically explores how machine learning can be trained to respond to human input, a crucial concept for a Machine Learning Artist. The course's focus on designing interactive systems that respond to gesture, movement, and sound directly informs the creation of responsive art. By engaging with practical tools for AI-driven audio and voice generation, learners develop the essential skills to experiment with machine learning as a powerful medium for artistic expression.
Interactive System Designer
An Interactive System Designer creates engaging and responsive user experiences, often involving physical interfaces, immersive environments, or real-time data input. This role focuses on how people interact with technology and spaces, designing systems that respond intelligently to human actions. The "Creative AI: Sound, Music and Interaction" course provides direct, practical knowledge for an Interactive System Designer. It explores how AI can be used to design new musical instruments and interactive systems that respond to gesture, movement, and sound. Through hands-on walkthroughs, learners experiment with gesture-based systems and discover how machine learning can be trained to respond to human input. This course provides both the technical foundation and critical framework for conceptualizing and building innovative interactive experiences, making it highly valuable for this design-focused career.
Performance Artist specializing in Interactive Digital Media
A Performance Artist specializing in Interactive Digital Media integrates technology, especially interactive systems and generative content, into live performances. This artist explores new forms of expression by creating responsive environments, digital costumes, or real-time audiovisuals that react to their movements or audience input. The "Creative AI: Sound, Music and Interaction" course is particularly beneficial, as it examines how AI augments and informs new kinds of dance and choreography performances. It delves into designing interactive systems that respond to gesture, movement, and sound, central to this artistic practice. Learners experiment with practical tools for generating, manipulating, and performing music using AI, gaining insight into real-time music generation. This course offers both the practical knowledge and critical framework to push the boundaries of live digital performance.
Digital Artist specializing in Generative Tools
A Digital Artist specializing in Generative Tools creates art using algorithms, code, or artificial intelligence to produce dynamic and evolving visual or auditory content. This artist often crafts systems that generate unique outputs based on defined parameters, exploring new aesthetics beyond traditional manual creation. The "Creative AI: Sound, Music and Interaction" course provides a highly relevant foundation for this specialization. It focuses on how AI can be used to generate original audio and voice, offering practical tools for manipulating and performing music using AI. The course allows learners to experiment with real-time music generation and understand how machine learning can be trained to respond to human input. This empowers a Digital Artist to integrate sophisticated generative AI techniques into their auditory or multimedia artistic practice, opening new avenues for creative expression.
Sound Artist
A Sound Artist works with sound as their primary medium, creating installations, compositions, or performances that challenge traditional listening experiences. This role often involves exploring acoustic phenomena, creating immersive sonic environments, or integrating new technologies into soundscapes. The "Creative AI: Sound, Music and Interaction" course offers valuable insights for a Sound Artist. It directly addresses how AI can be used to generate original audio and voice, providing practical tools for manipulating sound. Learners explore gesture-based systems and real-time music generation, which can be applied to create highly interactive and responsive sound art. By engaging with the course's critical questions around creativity and authorship in an AI context, a Sound Artist develops a nuanced understanding of their medium's evolving landscape, offering a unique perspective in their creative practice.
Game Audio Designer focusing on Adaptive Music
A Game Audio Designer focusing on Adaptive Music creates dynamic soundscapes and musical scores that respond to player actions, in-game events, and environmental changes. This specialization requires a deep understanding of interactive systems and how audio can enhance player immersion and narrative flow. The "Creative AI: Sound, Music and Interaction" course is highly relevant for this role. It explores how AI can be used to design interactive systems that respond to gesture, movement, and sound, directly applicable to creating adaptive game audio. Learners gain practical experience with real-time music generation and discover how machine learning can be trained to respond to human input, crucial for developing intelligent, reactive audio systems. This course provides both practical tools and conceptual understanding for innovating in the field of interactive game audio.
Intellectual Property Lawyer specializing in AI enhanced Creative Works
An Intellectual Property Lawyer specializing in AI enhanced Creative Works advises artists, creators, and technology companies on the legal aspects of content generated or assisted by artificial intelligence. This specialized legal professional navigates complex issues like copyright, ownership, and attribution in an era where AI plays a significant creative role. The "Creative AI: Sound, Music and Interaction" course offers crucial foundational knowledge for an aspiring Intellectual Property Lawyer in this niche. The course explicitly evaluates the ethical and legal implications of using AI in music, including issues around ownership, attribution, and the rights of artists and performers. It delves into critical questions regarding copyright and authorship, providing a deep understanding of the challenges posed by AI's growing role in creative decisions. This course is essential for understanding the evolving legal landscape of AI-generated content. This role typically requires an advanced degree, such as a Juris Doctor.
Experience Designer specializing in Interactive Media
An Experience Designer specializing in Interactive Media crafts engaging and intuitive interactions across various digital and physical platforms. This professional focuses on how users perceive and interact with systems, designing seamless and meaningful experiences that often incorporate real-time feedback and dynamic content. The "Creative AI: Sound, Music and Interaction" course provides valuable insights for an Experience Designer in this domain. It explores how AI can be used to design new interactive systems that respond to gesture, movement, and sound. Through hands-on explorations of gesture-based systems and machine learning trained to human input, learners gain a deep understanding of dynamic interaction design principles. This course helps build a foundation in creating innovative, responsive user experiences, specifically within the realm of creative artificial intelligence applications.
Content Creator specializing in AI Generated Media
A Content Creator specializing in AI Generated Media utilizes artificial intelligence tools to produce various forms of digital content, such as music, voiceovers, or multimedia assets. This role is at the forefront of digital production, exploring efficiency and creativity through algorithmic generation and manipulation. The "Creative AI: Sound, Music and Interaction" course is particularly relevant for a Content Creator operating in this innovative space. It teaches how AI can be used to generate original audio and voice, providing practical tools for manipulating and performing music using AI. The course also addresses the ethical aspects surrounding technologies like voice cloning and the impact of AI-generated music on the industry. This course helps build a foundation in understanding and experimenting with AI tools for creative content production, offering a significant advantage in this emerging field.
Audio Engineer specializing in AI assisted Production
An Audio Engineer specializing in AI assisted Production focuses on integrating artificial intelligence into the recording, mixing, mastering, or live sound process. This modern audio professional utilizes AI tools for tasks such as generative sound design, automated mixing, or intelligent signal processing, pushing the boundaries of traditional audio production. The "Creative AI: Sound, Music and Interaction" course helps an Audio Engineer understand the capabilities of AI in transforming audio. It delves into practical tools for generating, manipulating, and performing music using AI, including insights into current techniques for original audio and voice generation. By exploring real-time music generation and the ethical implications of AI-generated audio, this course may be useful for those seeking to incorporate advanced AI functionalities into their audio workflow and contribute to the future of sound production.
Academic Researcher specializing in AI and Creative Arts
An Academic Researcher specializing in AI and Creative Arts investigates the complex intersections between artificial intelligence and various artistic disciplines, such as music, dance, and interactive media. This role involves conducting studies, publishing papers, and often developing theoretical frameworks to understand AI's impact on creativity, authorship, and cultural production. The "Creative AI: Sound, Music and Interaction" course is highly pertinent for an Academic Researcher. Featuring perspectives from leading artists and researchers, it invites engagement with critical questions around creativity, authorship, and the legal implications of AI in music production. The course provides both practical knowledge and the critical framework necessary to analyze and contribute to this evolving academic field. This role typically requires an advanced degree, such as a master's or PhD, to conduct independent research.
Product Manager for AI Creative Applications
A Product Manager for AI Creative Applications guides the development and launch of software tools and platforms that leverage artificial intelligence for creative purposes, particularly in areas like music, sound, or interactive art. This role requires understanding both technological capabilities and the needs of creative users to define product vision and strategy. The "Creative AI: Sound, Music and Interaction" course may be useful for a Product Manager in this domain, as it explores how AI can be used to build new kinds of musical instruments and generate original audio. Learners experiment with practical tools for manipulating music using AI, gaining insight into current techniques and future possibilities. The course’s engagement with ethical and legal implications, such as ownership and attribution, provides a critical perspective for product development in this sensitive and rapidly evolving market.

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Creative AI: Sound, Music and Interaction.
The definitive benchmark textbook of modern artificial intelligence, rigorously unifying search algorithms, probabilistic reasoning, knowledge representation, and machine learning into an elegant, coherent agent-based framework.
The premier applied machine learning masterwork, taking practitioners through intuitive concept breakdowns, production-grade Scikit-Learn workflows, and deep neural architecture implementations.
A timeless mathematical masterpiece that provides an uncompromising Bayesian and probabilistic foundation for linear classifiers, graphical models, kernel methods, and sampling algorithms.
A monumental foundational text establishing the mathematical, algorithmic, and statistical principles of modern deep neural networks, from linear algebra and optimization to convolutional and sequence modeling architectures.
A classic work on innovation, this book provides a comprehensive overview of the theory and practice of innovation, including the role of creativity and collaboration.
Provides a critical and material perspective on AI, examining its environmental costs, labor exploitation, and the power structures it reinforces. It is essential reading for understanding the broader societal and political context of AI development and is particularly valuable for those interested in the real-world impacts beyond technical discussions.
The definitive mathematical and theoretical canon of statistical learning, establishing the rigorous analytical foundations of regularized regression, tree ensembles, and high-dimensional inference.
A distilled practitioner field guide outlining best practices for the entire machine learning lifecycle, from problem formulation and feature engineering to model deployment and monitoring.
Guides engineers step-by-step through implementing, training, and fine-tuning complete generative transformer architectures in pure PyTorch, providing crystal-clear low-level insight into modern foundation models.
Delivers an end-to-end systems architecture guide for building reliable production ML systems, addressing data engineering trade-offs, real-time feature computation, and model drift mitigation.
Bridges linear algebra, multivariable calculus, vector geometry, and probability directly to fundamental machine learning algorithms like PCA, Gaussian mixture models, and support vector machines.
Presents the foundational treatise on Markov decision processes, temporal-difference learning, and policy gradient methods that underpin autonomous decision-making and modern post-training alignment workflows.
Introduces a new way of thinking about data science and AI, drawing on the principles of intersectional feminism. It highlights how power imbalances are embedded in data and algorithms and offers a framework for building more equitable and just data systems. It is highly relevant for understanding bias and fairness in AI.
Written by a leading expert in innovation, this book explores the relationship between creativity and collaboration and provides insights into how to create environments that foster both.
Demystifies practical transformer model implementation through the Hugging Face ecosystem, demonstrating how to fine-tune, optimize, and deploy attention architectures across diverse natural language processing and understanding tasks.
Provides a comprehensive overview of international copyright law, covering topics such as the Berne Convention, the Universal Copyright Convention, and the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS).
Provides an overview of copyright law, covering topics such as copyright ownership, infringement, and remedies.
Written by a veteran sound professional, this book offers practical guidance on the entire process of film sound production, from pre-production to the final mix. It provides valuable real-world insights and is considered essential reading for those pursuing a career in film sound.
Instructs data scientists on applied model evaluation, cross-validation, hyperparameter tuning, and pipeline construction through Scikit-Learn maintainers Andreas Müller and Sarah Guido.
Offers a broad overview of sound and music in video games, covering historical context, theoretical concepts, and practical approaches. It's a good starting point for those new to game audio and provides a solid foundation for further study.
Presents a framework for centering the voices and needs of marginalized communities in the design of technology and AI. It offers practical guidance and case studies for creating more equitable and just technological systems, making it valuable for designers, developers, and policymakers.
A comprehensive guide focusing on the practical aspects of creating sound effects. covers everything from field recording techniques to studio equipment and provides numerous tips and tricks. It's an excellent resource for those looking to develop hands-on skills in sound effect production and is often used as a reference.
Provides an in-depth look at the art and techniques of Foley, the process of creating and recording everyday sounds for film, games, and animation. It's a practical guide for aspiring Foley artists and sound designers interested in this specialized area.
Delivers battle-tested operational patterns for serving foundation models, addressing GPU cluster throughput, semantic caching, automated evaluation benchmarks, and continuous latency minimization.
Investigates the engineering realities of running automated ML pipelines in production, addressing data drift detection, automated retraining loops, telemetry infrastructure, and continuous validation.
Delves into the technical aspects of designing algorithms that are fair, private, and transparent. It is particularly useful for students and professionals with a technical background who want to understand the computational challenges and solutions related to ethical AI. It can serve as a valuable reference for those building AI systems.
While focused on mixing, this book is crucial for sound designers as mixing is an integral part of the sound design process. It covers fundamental concepts to advanced techniques in audio mixing and widely respected resource in the audio industry. The latest editions incorporate contemporary topics like loudness standards and immersive audio.
Details an applied architectural methodology for running high-performance open-weights models on local workstations, tackling quantization fidelity, memory bandwidth limits, and prompt assembly trade-offs.
Examines the increasing power of algorithms in finance, search, and reputation, highlighting the lack of transparency and accountability. It provides crucial context for understanding the societal implications of opaque algorithmic systems and is valuable for students and professionals across various disciplines.
Details cloud-native DevOps architectures for orchestrating automated machine learning lifecycles, integrating CI/CD triggers, model registry synchronization, and automated hyperparameter sweep workers.
Co-authored by a co-founder of DeepMind, this book examines the transformative potential of AI and other frontier technologies while also highlighting the immense challenges of controlling them for the benefit of humanity. It provides a recent and insightful perspective on the opportunities and risks ahead.
Offers a rigorous theoretical foundation for reasoning under uncertainty, combining graph theory and probability distributions to model complex high-dimensional dependencies across autonomous intelligent systems.
Introduces core computational linguistics concepts and practical tokenization, tagging, and syntactic parsing workflows through clear Python examples, establishing strong fundamentals for language analysis.
A detailed guide focusing specifically on the crucial skill of dialogue editing in film. covers the techniques and workflows necessary to create seamless and impactful dialogue tracks. It valuable resource for anyone specializing in post-production sound.
Provides a foundational understanding of sound design principles, particularly within the context of film. It explores how music, dialogue, and sound effects work together to create emotional impact and enhance storytelling. It's a valuable resource for beginners and offers a good overview of the artistic aspects of sound design.
Focuses on the practical aspects of creative collaboration, providing strategies for building trust, resolving conflict, and maintaining momentum in creative teams.
This practical guide focuses on various music synthesis techniques. It's a great resource for understanding how to create sounds from the ground up using synthesizers, which core skill in many areas of sound design, particularly in music and electronic media.
Written by a leading AI researcher, this book explores the long-term challenges of ensuring that advanced AI systems remain beneficial to humanity. It provides a comprehensive overview of the control problem and potential solutions, making it relevant for those interested in the future trajectory of AI and its ethical implications.
A seminal theoretical work on the relationship between sound and image in cinema. Chion introduces key concepts like 'added value' and explores how sound shapes our perception of the visual. is crucial for developing a deeper, more analytical understanding of sound design in audiovisual media and is considered a classic.
Presents the foundational treatise on Markov decision processes, temporal-difference learning, and policy gradient methods that underpin autonomous decision-making and modern post-training alignment.
Provides a framework for organizations to implement AI responsibly at scale. It addresses the challenges of integrating ethical considerations into business practices and offers guidance on mitigating risks and fostering a culture of responsible AI development and deployment.
Synthesizes the five foundational tribes of machine learning into a unified conceptual framework, illuminating how symbolists, connectionists, evolutionaries, Bayesians, and analogizers approach intelligence.
This textbook offers a structured approach to understanding AI ethics, covering key concepts, theories, and case studies. It is suitable for students in academic settings and provides a solid foundation for in-depth study of the ethical challenges in AI.
Combines interactive Jupyter notebooks with rigorous mathematical explanations to teach machine learning practitioners how modern neural architectures are designed, implemented, and trained.
Written by prominent figures from politics, technology, and academia, this book explores the geopolitical and societal implications of AI. It offers a high-level perspective on how AI is transforming global power dynamics and the future of human society, making it relevant for those interested in policy and strategy.
A practical guide for leaders of creative teams, this book provides insights into the challenges and opportunities of managing creative teams and offers strategies for fostering creativity and collaboration.
Explores the relationship between copyright law and the public interest, covering topics such as the public domain, fair use, and the impact of copyright on creativity.

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