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Create a web app that generates melodies using Magenta’s AI
Juan Carlos Piñeros
Juan Carlos Piñeros
By the end of this project, you will create a music web application that uses AI to generate melodies, based on the musical idea given by the user. For this, we are going to use Magenta.js, Vexflow and Tone.js. In order to take this project, you should be...
Read more
By the end of this project, you will create a music web application that uses AI to generate melodies, based on the musical idea given by the user. For this, we are going to use Magenta.js, Vexflow and Tone.js. In order to take this project, you should be...
Read more
By the end of this project, you will create a music web application that uses AI to generate melodies, based on the musical idea given by the user. For this, we are going to use Magenta.js, Vexflow and Tone.js. In order to take this project, you should be familiar with HTML, CSS, and JavaScript.
Starting from scratch, we will use Glitch to create our music web app. If you are interested in music and machine learning, this project is for you.
This Guided Project was created by a Coursera community member.
Register for this course and see more details by visiting:
OpenCourser.com/course/ag9ajp/create
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Engages with the latest advances in AI-driven music generation, making it relevant to those pursuing careers in music technology
Provides hands-on experience with Magenta.js, Vexflow, and Tone.js, valuable tools for aspiring music developers
Assumes learners have a strong foundation in HTML, CSS, and JavaScript, which may limit accessibility for beginners in web development
Teaches core skills for building web applications that harness AI for musical creativity
Guided by instructors with expertise in the field of music and computer science, ensuring credibility of the material
Provides a unique combination of music and technology, catering to those interested in the intersection of these fields
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Reviews summary
Ai for music generation
Students are positive about this course and its ability to teach web app development involving music and AI. The course starts from scratch and uses real life examples within the context of creating a web application. Students recommend this course to those interested in music and machine learning.
The course is recommended to those interested in music and AI.
"If you are interested in music and machine learning, this project is for you."
Students would recommend this course.
Students enjoy this course.
"Excellent!"
"GOOD"
Activities
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We're preparing activities for
Create a web app that generates melodies using Magenta’s AI.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Create a web app that generates melodies using Magenta’s AI will develop knowledge and skills
that may be useful to these careers:
Music Composer
Music Composer
Compose and arrange music for various media, such as films, television shows, video games, and advertisements. This course provides a solid foundation in music theory, composition, and music production, which are essential skills for a successful Music Composer. By learning how to use cutting-edge AI tools like Magenta.js, you'll be able to generate unique and innovative melodies, enhancing your creativity and productivity.
Music Producer
Music Producer
Collaborate with artists, musicians, and engineers to produce and record music. This course provides practical experience in using music production software and techniques, which are essential for aspiring Music Producers. Additionally, the focus on AI-generated melodies will help you push the boundaries of music production and create truly original and engaging tracks.
Audio Engineer
Audio Engineer
Design, build, and maintain audio systems for various applications, such as recording studios, concert halls, and broadcasting facilities. This course provides a comprehensive understanding of audio engineering principles and practices, which are crucial for Audio Engineers. The emphasis on using AI to generate melodies can also help you develop innovative audio effects and sound design techniques.
Music Educator
Music Educator
Teach and train students in music theory, performance, and composition. This course provides a strong foundation in music education principles and methodologies, which are necessary for effective Music Educators. By learning how to use Magenta.js, you'll be able to incorporate cutting-edge AI technology into your teaching and inspire your students to explore new musical possibilities.
Music Therapist
Music Therapist
Use music to improve the physical, emotional, and cognitive health of individuals. This course provides an introduction to music therapy techniques and principles, which are fundamental for Music Therapists. The exploration of AI-generated melodies can help you develop innovative and personalized music therapy interventions, enhancing the effectiveness of your work.
Music Librarian
Music Librarian
Manage and maintain music collections in libraries, archives, and other institutions. This course provides a foundational understanding of music bibliography and collection management, which are essential for Music Librarians. By learning how to use AI to generate melodies, you'll be able to develop innovative ways to catalog and organize music, making it more accessible and discoverable for researchers and music enthusiasts.
Music Journalist
Music Journalist
Write and publish articles, reviews, and other content about music. This course provides a comprehensive overview of music journalism principles and practices, which are essential for aspiring Music Journalists. The focus on AI-generated melodies can help you develop unique perspectives and insights on the latest music trends and technologies, setting your writing apart in the competitive journalism landscape.
Music Technology Engineer
Music Technology Engineer
Design, develop, and implement music technologies and software. This course provides a solid foundation in music technology principles and practices, which are crucial for Music Technology Engineers. By learning how to use Magenta.js and other AI tools, you'll be able to push the boundaries of music technology and create innovative solutions for the music industry.
Music Researcher
Music Researcher
Conduct research on music history, theory, and performance. This course provides a strong foundation in music research methodologies, which are essential for Music Researchers. The exploration of AI-generated melodies can help you develop innovative research questions and approaches, contributing to the advancement of musical knowledge.
Music Business Manager
Music Business Manager
Manage the business and administrative aspects of the music industry, such as artist management, concert promotion, and record label operations. This course provides a comprehensive understanding of music business principles and practices, which are essential for successful Music Business Managers. By learning how to use AI to generate melodies, you'll be able to develop innovative marketing campaigns and strategies, helping artists and music companies reach new audiences and achieve commercial success.
Music Licensing Specialist
Music Licensing Specialist
Negotiate and manage music usage rights for various purposes, such as film, television, advertising, and video games. This course provides a detailed understanding of music licensing practices and regulations, which are essential for Music Licensing Specialists. By learning how to use AI to generate melodies, you'll be able to identify and secure the right music for specific projects, ensuring that creators and copyright holders are fairly compensated.
Music Agent
Music Agent
Represent and negotiate contracts for musicians, singers, and other music professionals. This course provides an overview of the music industry and the role of music agents, which is essential for aspiring Music Agents. By learning how to use AI to generate melodies, you'll be able to develop innovative ways to showcase your clients' talents and secure more lucrative deals.
Music Attorney
Music Attorney
Provide legal advice and representation to musicians, music businesses, and other music professionals. This course provides a strong foundation in music law and legal practices, which are essential for Music Attorneys. By learning how to use AI to generate melodies, you'll be able to develop a deeper understanding of copyright and intellectual property issues, enabling you to effectively protect your clients' rights and interests.
Music Director
Music Director
Lead and oversee the musical aspects of a performing group, such as an orchestra, choir, or band. This course may be useful for aspiring Music Directors, as it provides a foundational understanding of music theory, performance practices, and leadership skills. By learning how to use AI to generate melodies, you'll be able to expand your musical repertoire and explore new possibilities in your performances.
Music Therapist Assistant
Music Therapist Assistant
Assist music therapists in providing music therapy services to individuals and groups. This course may be useful for aspiring Music Therapist Assistants, as it provides an introduction to music therapy principles and practices. By learning how to use AI to generate melodies, you'll be able to support music therapists in developing innovative and engaging interventions, enhancing the effectiveness of their work.
For more career information including salaries, visit:
OpenCourser.com/course/ag9ajp/create
Reading list
We've selected 12 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
Create a web app that generates melodies using Magenta’s AI.
Save
Provides a comprehensive overview of algorithmic music. It covers topics such as music generation, music analysis, and music recommendation. It valuable resource for anyone interested in learning more about the use of algorithms in music.
Provides a comprehensive overview of computer music. It covers topics such as music theory, music signal processing, and music programming. It valuable resource for anyone interested in learning more about the use of computers in music.
Save
Provides a comprehensive overview of the psychology of music. It covers topics such as music perception, music cognition, and music emotion. It valuable resource for anyone interested in learning more about the psychological aspects of music.
Provides a practical introduction to deep learning using the fastai library and PyTorch framework. It covers essential concepts and techniques for building and training deep learning models, which can be applied to music generation tasks.
Save
Provides a comprehensive overview of algorithmic composition. It covers topics such as music generation, music theory, and music programming. It valuable resource for anyone interested in learning more about the use of algorithms in music.
Provides a comprehensive overview of music education. It covers topics such as music theory, music history, and music pedagogy. It valuable resource for anyone interested in learning more about the teaching of music.
Provides a comprehensive introduction to computer music, covering topics such as audio synthesis, digital signal processing, and music theory.
Provides a comprehensive overview of the psychology of music. It covers topics such as music perception, music cognition, and music emotion. It valuable resource for anyone interested in learning more about the psychological aspects of music.
Provides a comprehensive overview of the psychology of music. It covers topics such as music perception, music cognition, and music emotion. It valuable resource for anyone interested in learning more about the psychological aspects of music.
Provides a comprehensive introduction to machine learning concepts and algorithms, using Python as the programming language. It covers fundamental topics such as supervised and unsupervised learning, which are relevant to music generation.
Provides a detailed overview of sound synthesis and sampling techniques, which are fundamental to music generation.
Introduces the concepts of generative grammars and L-systems, which are used in computer science and music generation to create complex and natural-looking patterns.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ag9ajp/create
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Time
2 hours
Via
Coursera
Institution
Coursera Community Project Network
Instructor
Juan Carlos Piñeros
Good to know
Engages with the latest advances in AI-driven music generation, making it relevant to those pursuing careers in music technology
Provides hands-on experience with Magenta.js, Vexflow, and Tone.js, valuable tools for aspiring music developers
Assumes learners have a strong foundation in HTML, CSS, and JavaScript, which may limit accessibility for beginners in web development
Teaches core skills for building web applications that harness AI for musical creativity
Guided by instructors with expertise in the field of music and computer science, ensuring credibility of the material
Provides a unique combination of music and technology, catering to those interested in the intersection of these fields
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