Durationkeyboard_arrow_down
The programme is available in two duration modes:
1 month (Fast-track mode)
2 months (Standard mode)
Course Delivery keyboard_arrow_down

Online

Entry Requirementskeyboard_arrow_down

One of the following:

Course Contentkeyboard_arrow_down

Are you passionate about music and technology? Dive into the exciting world of Artificial Intelligence with our Undergraduate Certificate in AI in Music Recommendation Systems. This program is designed for students who want to explore the intersection of music and technology, and learn how AI is revolutionizing the way we discover and enjoy music.Our curriculum is carefully crafted to provide students with a deep understanding of AI algorithms and their applications in music recommendation systems. From machine learning techniques to data analysis, students will gain hands-on experience working with real-world datasets and building AI models to recommend music to users based on their preferences.Highlights of the program include:1. Introduction to AI in Music: Explore the fundamentals of AI and its applications in the music industry. Learn about the history of music recommendation systems and how AI is shaping the future of music discovery.2. Machine Learning Techniques: Dive into the world of machine learning and explore algorithms such as collaborative filtering, content-based filtering, and hybrid recommendation systems. Gain practical experience implementing these algorithms in Python.3. Data Analysis and Visualization: Learn how to collect, clean, and analyze music data using tools like Pandas and Matplotlib. Visualize trends and patterns in music consumption to understand user preferences and behavior.4. Building Recommendation Systems: Put your skills to the test by building your own music recommendation system from scratch. Learn how to evaluate the performance of your model and optimize it for accuracy and efficiency.5. Ethical and Legal Considerations: Explore the ethical implications of AI in music recommendation systems, including issues related to privacy, bias, and fairness. Learn how to design systems that prioritize user trust and transparency.By the end of the program, students will have a solid foundation in AI and music recommendation systems, and be prepared to pursue careers in fields such as data science, music technology, and AI research. Whether you're a music lover looking to explore the cutting-edge of technology or a tech enthusiast interested in the creative possibilities of AI, our Undergraduate Certificate in AI in Music Recommendation Systems is the perfect program for you.Join us and embark on a journey to revolutionize the way we experience music through the power of Artificial Intelligence. Enroll today and take the first step towards a rewarding career in this exciting and rapidly growing field.

Assessment keyboard_arrow_down

The assessment is done via submission of assignment. There are no written exams.

Course fee keyboard_arrow_down
The fee for the programme is as follows:

1 month (Fast-track mode) - £140


2 months (Standard mode) - £90
Payment planskeyboard_arrow_down

Please find below available fee payment plans:

1 month (Fast-track mode) - £140


2 months (Standard mode) - £90


Accreditationkeyboard_arrow_down

Please Note:-

    Stanmore School of Business