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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...
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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.
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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

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Create a web app that generates melodies using Magenta’s AI with these activities:
Read 'Music: A Mathematical Offering' by Dave Benson
Gain a deeper understanding of the mathematical foundations of music by reading this book, which explores the connections between music and mathematics.
Show steps
  • Obtain a copy of the book
  • Read through the book at a steady pace
  • Take notes and highlight key concepts
  • Reflect on the ideas presented in the book and how they relate to your understanding of music
Read 'The Psychology of Music' by Diana Deutsch
Explore the psychological aspects of music by reading this book, which examines how music affects our emotions, cognition, and behavior.
Show steps
  • Obtain a copy of the book
  • Read through the book at a steady pace
  • Take notes and highlight key concepts
  • Reflect on the ideas presented in the book and how they relate to your experiences with music
Follow tutorials on music production software
Expand your knowledge of music production techniques by following guided tutorials that provide step-by-step instructions.
Show steps
  • Choose a music production software program to focus on
  • Find tutorials that cover specific features and techniques
  • Follow the tutorials and practice using the software
12 other activities
Expand to see all activities and additional details
Show all 15 activities
Review Music Theory
Brush up on the fundamentals of music theory to strengthen your understanding of musical concepts covered in this course.
Browse courses on Music Theory
Show steps
  • Review basic musical concepts (e.g., notes, scales, chords)
  • Practice reading and writing musical notation
Review basic HTML, CSS, and JavaScript concepts
Strengthen your foundation in HTML, CSS, and JavaScript to better grasp the concepts of web development in this course.
Browse courses on HTML
Show steps
  • Revisit HTML syntax and structure
  • Review CSS selectors, properties, and values
  • Practice writing basic JavaScript functions
Follow tutorials to learn Magenta.js, Vexflow, and Tone.js
Strengthen your understanding of the technologies used in the course by following tutorials that cover the basics and advanced concepts.
Show steps
  • Research tutorials on Magenta.js, Vexflow, and Tone.js
  • Follow a tutorial on how to create a simple music web application using Magenta.js, Vexflow, and Tone.js
  • Experiment with the code provided in the tutorials to create your own music web applications
Complete exercises on music theory and composition
Reinforce your understanding of music theory and composition by engaging in targeted exercises that challenge your knowledge.
Show steps
  • Find exercises on topics such as scales, chords, and melodic writing
  • Practice completing the exercises regularly
  • Analyze your results and identify areas for improvement
Work Through Magenta.js Tutorials
Familiarize yourself with the Magenta.js toolkit by completing its official tutorials.
Show steps
  • Set up your development environment with Magenta.js
  • Work through the beginner-level tutorials
  • Explore additional tutorials based on your interests
Create a simple web application using HTML, CSS, and JavaScript
Apply your understanding of HTML, CSS, and JavaScript by building a basic web app to enhance your hands-on skills.
Show steps
  • Design the layout and structure of your web app using HTML
  • Style your web app with CSS to make it visually appealing
  • Add functionality to your web app using JavaScript
Attend online meetups or conferences related to music
Connect with other music enthusiasts, professionals, and students by attending online events that foster knowledge sharing and networking.
Show steps
  • Research and identify relevant online meetups or conferences
  • Register and attend the events
  • Participate in discussions and engage with others
Participate in online workshops on music-related topics
Enhance your skills and knowledge by participating in online workshops that provide hands-on experience and expert guidance on specific music-related topics.
Show steps
  • Find workshops that align with your interests and learning goals
  • Register and attend the workshops
  • Engage actively in the workshop activities and discussions
Practice Writing Musical Melodies
Improve your ability to create original musical melodies through regular practice.
Browse courses on Music Composition
Show steps
  • Set aside time for daily melody writing exercises
  • Experiment with different musical styles and genres
  • Seek feedback from a mentor or instructor
Compose and share a melody generated by your music web application
Solidify your understanding of the principles of melody composition and the functionality of your music web application by creating and sharing your own melodies.
Show steps
  • Use your music web application to generate a melody
  • Refine the melody by adjusting the notes, rhythm, and other parameters
  • Share your melody with others on social media or a music sharing platform
Write a tutorial on a specific aspect of music theory
Deepen your understanding of music theory by choosing a specific concept and explaining it in a tutorial, solidifying your knowledge and helping others.
Show steps
  • Choose a specific music theory concept to focus on
  • Research and gather information about the concept
  • Organize and outline your tutorial content
  • Write the tutorial in a clear and concise manner
Compose Your Own AI-Generated Musical Piece
Put your learning into practice by creating your own musical composition using the techniques covered in this course.
Browse courses on Music Composition
Show steps
  • Gather musical ideas and inspiration
  • Use Magenta.js to generate musical sequences
  • Compose your own musical piece using both AI-generated and original content
  • Refine and polish your composition

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.

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.
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.
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.
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.

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