Linkedin - Building Role-Based Access using AI for Java Developers

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Free Download Linkedin - Building Role-Based Access using AI for Java Developers
Released 03/2025
With Harit Himanshu
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 49m 8s | Size: 472 MB

Master role-based access control (RBAC) by building a GitHub-inspired authorization system using Java Spring Boot.
Course details
In this intermediate-level course, instructor Harit Himanshu shows you how to implement a comprehensive role-based access control (RBAC) system inspired by GitHub's permission model using Java, Spring Boot, MongoDB, and Docker. Starting with core domain modeling, learn how to design and implement both personal and organization account structures with their respective permission hierarchies, develop secure authentication flows and resource management APIs, and create sophisticated authorization mechanisms that handle complex scenarios like role inheritance and resource sharing within organizations. Along the way, leverage the power of GitHub Copilot to accelerate development and testing processes, while learning industry best practices for security implementations. By the end of this course, you'll be equipped with the skills you need to build and test a production-ready RBAC system at scale.
Homepage:

https://www.linkedin.com/learning/building-role-based-access-using-ai-for-java-developers

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