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Music Recommendation Backend with Spring Boot and Neo4j

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Marshall Takudzwa Chabanga

19:23:02

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  • 1. Introduction.mp4
    03:09
  • 1. Create Microservices - Spring Cloud.mp4
    57:20
  • 1.1 docker-compose.zip
  • 1.2 notes.zip
  • 1. Keycloak Integration Part 1.mp4
    41:15
  • 2.1 mysql-docker-compose.zip
  • 2.2 postgres-docker-compose.zip
  • 2. Keycloak Mysql Database Connection.mp4
    12:24
  • 1. Create User and Email Verification - Keycloak Integration.mp4
    25:58
  • 2. Implement Forgot Password - Keycloak Integration.mp4
    07:50
  • 1. User Profile Update And Image Upload with BunnyNet Integration.mp4
    01:31:38
  • 1. Create Models and Neo4j Repositories.mp4
    54:57
  • 2. Business Layer & Cipher Queries.mp4
    02:33:04
  • 3. REST API - (GenreApi, SongApi, AlbumApi, PlaylistApi).mp4
    01:19:45
  • 4. Add user PLAYS songs Relationship & Get User Playlist Songs (Projection).mp4
    50:34
  • 5. Get Artist Songs and Album Songs using Neo4JClient.mp4
    31:55
  • 6. Update User, Album and Playlist Details using Cipher Query SET.mp4
    58:48
  • 7. Update Song Details with Cipher Query SET.mp4
    18:40
  • 8. Update Posted Comment and Genre.mp4
    16:04
  • 9. Get Paginated Song Comments.mp4
    17:37
  • 10. AILarge Language Model - User Comment Analysis using LangChain and ChatGPT.mp4
    34:24
  • 11. Instant Release Song or Album.mp4
    07:51
  • 12. Add Spring Security.mp4
    05:11
  • 13. Release Scheduled Song or Album.mp4
    18:28
  • 14. BunnyNet Video Processing Webhook Status{FNISHED}.mp4
    16:08
  • 15. Artist Create Song - Complete BunnyNet Integration.mp4
    19:33
  • 1. Artist Followers Recommendation - Collaborative Filtering Cipher Query.mp4
    12:28
  • 2. Song Likes Similarity Recommendation Cipher Query Full Explanation.mp4
    15:01
  • 3. Artist Interest Recommendation - Sentiment Analysis through LLM.mp4
    11:44
  • 4. Song Play History Recommendation Cipher Query.mp4
    03:27
  • 5. Recommend latest songs for the Artists you Follows.mp4
    02:14
  • 6. Final Recommendation Cipher Query using UNION.mp4
    03:44
  • 7. Final Music Recommendation Java Implementation - Powerful Real-World Example.mp4
    10:16
  • 1. Configure JavaMailSender And Thymeleaf Template Engine.mp4
    16:06
  • 2. Implement Send Send Song Comments and bind details to the template.mp4
    13:11
  • 3. Add Notification Business Logic and Create Auth Feign Client.mp4
    35:44
  • 4. Complete send email and intercept request token.mp4
    22:42
  • 1. Task managent (CRUD).mp4
    26:08
  • 2. Implement Task Scheduling.mp4
    27:43
  • 3. NFLOW integration and create publish workflow (State Machine).mp4
    42:04
  • 4. Complete Publish Album or Songs.mp4
    34:53
  • 5. Feign Client Configuration with Client Credentials Grant Type.mp4
    03:21
  • 1. Send User Comment Email to an Artist.mp4
    28:09
  • 2. Sync music-service User with the user-service User.mp4
    17:32
  • 3.1 docker-compose.zip
  • 3. Dockerizing microservices.mp4
    14:02
  • Description


    Learn how to build a Music Recommendation Backend with Spring Boot, Neo4j, Spring Cloud, and Collaborative Filtering

    What You'll Learn?


    • Introduction to Backend Development: Understand the basics of backend development and the role it plays in building complex applications
    • Spring Boot Fundamentals: Dive into the world of Spring Boot and learn how to rapidly develop powerful and scalable backend applications.
    • Neo4j Graph Database: Explore the fundamentals of Neo4j and discover how graph databases can revolutionize data modeling for your music application.
    • Implementing Collaborative Filtering: Learn the principles behind collaborative filtering and how to implement personalized music recommendations for users.
    • Spring Cloud for Microservices: Understand the concepts of microservices architecture and leverage Spring Cloud to build a scalable and resilient backend.
    • Cipher Queries with Neo4j: Master the art of crafting secure and efficient cipher queries to interact with Neo4j and optimize your database operations.
    • User Authentication with Keycloak: Implement secure user authentication and authorization using Keycloak to ensure the privacy and security of your users' data.
    • Real-World Application Development: Apply your knowledge in a hands-on manner by building a fully functional music backend application throughout the course.

    Who is this for?


  • Developers looking to enhance their backend development skills.
  • Those interested in exploring the world of graph databases and Neo4j.
  • Individuals eager to build a real-world music application using modern technologies.
  • Anyone aiming to understand collaborative filtering for personalized content recommendations.
  • What You Need to Know?


  • Spring Framework Basics: Familiarity with the basics of the Spring framework, including inversion of control (IoC), dependency injection, and the concept of beans.
  • RESTful Web Services: Understanding of RESTful web services and API design principles will be beneficial for building the backend endpoints of the music application.
  • Database Fundamentals: Basic knowledge of databases and SQL is recommended. While the course focuses on Neo4j, having a general understanding of database concepts will be advantageous.
  • Git Version Control: Familiarity with Git for version control is important, as it will be used to manage the source code of the project throughout the course.
  • Microservices Architecture (Optional): Knowledge of microservices architecture concepts would be helpful, as the course incorporates Spring Cloud for building a scalable and resilient backend.
  • Basic Understanding of Authentication and Authorization: A basic understanding of authentication and authorization concepts will be beneficial, especially when implementing user security with Keycloak.
  • Maven or Gradle Build Tools: Understanding the basics of either Maven or Gradle build tools will be useful for managing dependencies and building the project.
  • Java Programming: Proficiency in Java programming is essential, as the course heavily utilizes the Spring Boot framework, which is built on Java.
  • More details


    Description

    Welcome to "Building a Music Recommendation Backend," a comprehensive Udemy course that takes you on a journey to create a robust and real-world music application using cutting-edge technologies. This course is designed for intermediate to advanced developers who want to dive into backend application development and explore the power of Spring Boot, Neo4j, Spring Cloud, Collaborative Filtering, Cipher Queries, and Keycloak.

    What You'll Learn:

    1. Introduction to Backend Development: Understand the basics of backend development and the role it plays in building complex applications.

    2. Spring Boot Fundamentals: Dive into the world of Spring Boot and learn how to rapidly develop powerful and scalable backend applications.

    3. Neo4j Graph Database: Explore the fundamentals of Neo4j and discover how graph databases can revolutionize data modeling for your music application.

    4. Implementing Collaborative Filtering: Learn the principles behind collaborative filtering and how to implement personalized music recommendations for users.

    5. Spring Cloud for Microservices: Understand the concepts of microservices architecture and leverage Spring Cloud to build a scalable and resilient backend for your music application.

    6. Cipher Queries with Neo4j: Master the art of crafting secure and efficient cipher queries to interact with Neo4j and optimize your database operations.

    7. User Authentication with Keycloak: Implement secure user authentication and authorization using Keycloak to ensure the privacy and security of your users' data.

    8. Real-World Application Development: Apply your knowledge in a hands-on manner by building a fully functional music backend application throughout the course.

    Who Should Take This Course:

    • Developers looking to enhance their backend development skills.

    • Those interested in exploring the world of graph databases and Neo4j.

    • Individuals eager to build a real-world music application using modern technologies.

    • Anyone aiming to understand collaborative filtering for personalized content recommendations.

    By the end of this course, you'll have the skills and knowledge needed to create a sophisticated music recommendation backend, and you'll be well-equipped to tackle similar challenges in real-world application development. Enroll now and embark on your journey to becoming a proficient backend developer!

    Who this course is for:

    • Developers looking to enhance their backend development skills.
    • Those interested in exploring the world of graph databases and Neo4j.
    • Individuals eager to build a real-world music application using modern technologies.
    • Anyone aiming to understand collaborative filtering for personalized content recommendations.

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    Marshall Takudzwa Chabanga
    Marshall Takudzwa Chabanga
    Instructor's Courses
    Meet Marshall (Bisky): Senior Software Engineer in JavaWith over 5 years of professional experience, I am Marshall, also known as Bisky, a seasoned Senior Software Engineer specialising in Java. My expertise spans a diverse spectrum, ranging from comprehensive System Analysis to intricate Software Development. My professional journey has been anchored in the dynamic and fast-paced landscape of the financial technology industry.Why Choose My Courses?I bring a demonstrated history of successfully navigating complex challenges through the art of programming. My passion lies in the relentless pursuit of simplifying intricate tasks through innovative coding solutions.Join me on a learning adventure where I share not just technical knowledge, but the practical insights gained from years of hands-on experience in the field.What Sets Me Apart?Extensive Experience: With more than half a decade dedicated to the software engineering domain, I've honed my skills through real-world applications and industry challenges.Research-Driven Approach: I invest a significant amount of time in continuous research, staying at the forefront of advancements in technology. This commitment ensures that my courses reflect the latest trends and best practices.Practical Problem-Solving: My focus extends beyond theoretical concepts. I am dedicated to empowering students with the ability to apply their knowledge to real-world scenarios, fostering a deeper understanding of the subject matter.Embark on a learning journey with me and discover how to not just code, but to code effectively and elegantly. Let's demystify the complexities together!
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 41
    • duration 19:23:02
    • Release Date 2024/03/12