Telecom培训课程

区块链是一种建立分散系统的技术。对于电信运营商来说，这项技术可以为诸如计费和欺诈检测等领域的改进服务打开大门，仅举两例。

在本课程中，我们将研究区块链技术背后的核心原理，并了解其整体架构和功能。在整个课程中，我们将考察区块链技术在电信行业中的具体应用。包括安全性、支付系统、用户验证等情景。

受众

- 电信行业的业务和技术经理

课程形式

- 部分讲座、部分讨论、动手练习

BSS Course Contents :
This course is primarily aimed at managers in Telecom operation who need to have 360
view of a) legacy BSS in eTOM b) emerging BSS in NGOSS c) Billing system including
mediation, rating and CDR in details. This course also introduces in new topics like
advanced big data based CRM, Churn management and Fraud Management.

Introduction:

OSS/BSS is at the heart of operation of any Telecom operator. Given growth of Big Data in recent time,
area of OSS/BSS has undergone disruptive changes specially with virtualization of the OSS/BSS and given
the fact, many of the new OTT ( Over the top) services are newly developed web/mobile based services
that do not fit into legacy OSS. In this current course, which consists of 4 days, first 3 days are spent
extensively to develop background in legacy OSS/BSS, while last 5 modules, are dedicated to explain
emerging Big Data analytics application in OSS/BSS layer

Target Audience:

- Telecom/Cellular Operation People
- Telecom Sales professionals
- Telecom Operation vendors/contractors
- CXO, VP, Director level managers in TELECOM

AI is a collection of technologies for building intelligent systems capable of understanding data and the activities surrounding the data to make "intelligent decisions". For Telecom providers, building applications and services that make use of AI could open the door for improved operations and servicing in areas such as maintenance and network optimization.

In this course we examine the various technologies that make up AI and the skill sets required to put them to use. Throughout the course, we examine AI's specific applications within the Telecom industry.

Audience

- Network engineers
- Network operations personnel
- Telecom technical managers

Format of the course

- Part lecture, part discussion, hands-on exercises

机器学习是人工智能的一个分支，指计算机可以在不被明确编程的情况下学习。

深度学习是机器学习的一个子领域，它使用基于学习数据表示和结构（例如神经网络）的方法。

Python是一种高级编程语言，以其清晰的语法和代码易读性而闻名。

在这一由讲师引导的现场培训中，学员将逐步学习如何创建深度学习信用风险模型，从而学习如何使用Python实现用于电信行业的深度学习模型。

在本次培训结束后，学员将能够：

- 了解深度学习的基本概念。
- 了解深度学习在电信行业中的应用和用途。
- 使用Python、Keras、TensorFlow创建用于电信行业的深度学习模型。
- 使用Python构建自己的深度学习客户流失预测模型。

课程形式

- 互动讲座和讨论。
- 大量练习和实操。
- 在现场实验室环境中动手实现。

课程自定义选项

- 如需本课程的定制培训，请联系我们以作安排。

This instructor-led, live training in 中国 (online or onsite) is aimed at technical persons who wish to apply the most suitable tools and techniques to secure both telecom as well as wireless networks.

This instructor-led, live training in 中国 (online or onsite) is aimed at engineers, architects and managers who wish to deploy an OpenStack cloud to manage their Telecom infrastructure.

By the end of this training, participants will be able to:

- Plan, deploy, and administer OpenStack as a private cloud.
- Understand IaaS architecture and its implementation under OpenStack.
- Replace physical routers and servers with virtual machines running in a private cloud.
- Reduce infrastructure and maintenance costs through virtualization and cloud computing.
- Expedite the rollout of new services to customers.

This instructor-led, live training in 中国 is aimed at engineers in telecommunication companies who wish to set up an end-to-end digital identity management system.

By the end of this training, participants will be able to:

- Understand, evaluate and adopt different approaches to managing usernames and passwords.
- Setup a single login system that works across all applications used in a telecom environment.
- Use identity technology to get a clear understanding of their customers and their needs.
- Implement an authentication system that works across different platforms (laptop, mobile, etc.).