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所在平台: Udemy |
课程主页: https://www.udemy.com/course/hands-on-5g-virtual-lab-training/
课程评论：没有评论
**课程名称：** 5G核心网呼叫流程与实操训练 **课程概述：** 本课程由ABotEdu提供，旨在帮助学习者深入理解3GPP定义的5G核心网呼叫流程和场景。课程结合理论讲解与实践操作，提供一个全面的5G学习环境，与3GPP规范紧密结合。 **主要内容：** 1. **5G基础知识：** 学习示例5G场景、网络功能（NF）、呼叫流程阶梯图，并通过视频解释5G基本原理。 2. **5G呼叫流程：** 深入理解5G呼叫流程及其不同网络功能（NF）之间的交互。 3. **3GPP核心流程：** 掌握关键3GPP流程的含义及其重要性，包括接口管理、注册管理、会话管理、用户配置文件管理和NRF流程。 4. **实操训练与调试：** 利用内置工作台，通过真实3GPP消息、PCAP文件和NF日志，学习配置、执行、分析和调试5G呼叫流程。 5. **Wireshark集成：** 通过Wireshark集成，培养对数据包层面的理解，提升调试技能，并了解关键绩效指标（KPI）。 6. **AI/ML赋能：** 课程运用AI/ML技术检测和辅助纠正错误，提供自动化学习支持。 7. **技能评估：** 提供选择题和实操练习，用于评估学习者的技能掌握程度。 8. **个性化学习：** 练习题目根据学习路径随机生成并自动批改，支持学习者自主学习。 9. **证书获取：** 完成课程并遵循所选路径后，将自动生成课程结业证书。
ABotEdu is a 5G course to learn 3GPP-defined Callflows and Scenarios. It also provides access to a 5G virtual lab for hands-on skills development. It is a comprehensive learning environment mapped to the 3GPP specification. Following is the outline of this online course:1. Sample 5G scenarios, network functions (NF), call flow ladder diagrams, and video explanations of the 5G fundamentals.2. 5G call flows and understanding its interaction between the associated NFs.3. The meaning behind different 3GPP procedures and their relevance: Interface Management, Registration Management, Session Management, User Profile Management & NRF Procedures4. Features include a built-in workbench for configuring, executing, analyzing, and debugging 5G call flows, using real 3GPP messages, PCAPs, and NF logs.5. Wireshark integration helps learners develop packet-level understanding and enhance their debugging skills by providing insights and key performance indicators (KPIs) for a complete learning experience.6. It employs AI-ML-based techniques to detect and assist in the correction of errors for automated learning support.7. The ABotEdu platform offers multiple-choice and hands-on exercises for skill assessment.8. Exercises are selected randomly based on course path and corrected automatically to facilitate self-paced learning.9. A certificate is generated automatically based on the course path followed by the learner.
