Chengdu Times Plaza

26/F, 26th Floor, Block A, 2 Sifu Road, Chengdu, China, 610016

The Chengdu Times Plaza Centre is located in one of the most prestigious buildings in the central business district of Chengdu. Home to several Fortune 500 companies working in banking, IT and electronics, car manufacturing and construction, the building is also well located for public transport, hotels and retail outlets. Like the building, the surrounding area is a hub for some of the world's largest corporations with Chengdu's international profile continuing to rise. This is due to the government's promotion of the region in China's Go West policy, which is devoted to stimulating economic activity in western China. The city is rapidly becoming the main financial district in western China. Many hi-tech companies have also begun to settle in Chengdu.

Explore Our Courses

Fiber Optic Networks (Point to Point and FTTH)

 21 Hours
This instructor-led, live training in Chengdu (online or onsite) is aimed at intermediate-level network engineers who wish to gain the skills needed to design, install, and maintain fiber optic networks. By the end of this training, participants will be able to:
  • Understand the fundamentals of fiber optic technology.
  • Apply network design principles for point-to-point and FTTH networks.
  • Install and maintain fiber optic cables and connectors.
  • Test and troubleshoot fiber optic networks.
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Microwave Point to Point & Point to MultiPoint

 21 Hours
This instructor-led, live training in Chengdu (online or onsite) is aimed at intermediate-level network engineers who wish to use, maintain, and troubleshoot microwave networks effectively. By the end of this training, participants will be able to:
  • Understand the principles and operation of microwave communication systems.
  • Design and implement point-to-point and point-to-multipoint microwave links.
  • Perform link budget analysis and network planning.
  • Operate, maintain, and troubleshoot microwave networks effectively.
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Certified Telecommunication Network & Link Integration

 28 Hours
This instructor-led, live training in Chengdu (online or onsite) is aimed at intermediate-level telecommunications engineers who wish to gain the knowledge and skills necessary to design, implement, and maintain telecommunication networks with a focus on link integration, ensuring seamless communication and data transfer across networks. By the end of this training, participants will be able to:
  • Understand the fundamentals of telecommunication networks.
  • Design and implement telecommunication networks.
  • Apply advanced link integration strategies.
  • Troubleshoot and resolve integration issues.
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Deep Learning for Telecom (with Python)

 28 Hours
In this instructor-led, live training in Chengdu, participants will learn how to implement deep learning models for telecom using Python as they step through the creation of a deep learning credit risk model. By the end of this training, participants will be able to:
  • Understand the fundamental concepts of deep learning.
  • Learn the applications and uses of deep learning in telecom.
  • Use Python, Keras, and TensorFlow to create deep learning models for telecom.
  • Build their own deep learning customer churn prediction model using Python.
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AI Awareness for Telecom

 14 Hours
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
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BSS (BUSINESS SUPPORT SYSTEM) for Telecom

 21 Hours
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.
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OpenStack for Telecom

 14 Hours
This instructor-led, live training in Chengdu (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.
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OSS ( Operation Support System ) for Telecom

 21 Hours
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
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Wireless Network and Telecom Network Security

 35 Hours
This instructor-led, live training in Chengdu (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.
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Testimonials (2)

The clarity with which it was presented

John McLemore - Motorola Solutions

Course - Deep Learning for Telecom (with Python)

The varied topics

Daniel Lindh - Tele 2 Sverige AB

Course - OpenStack for Telecom

Upcoming Courses

Deep Learning for Telecom (with Python)

2025-06-30 09:30
28 hours
Chengdu Times Plaza

AI Awareness for Telecom

2025-07-14 09:30
14 hours
Chengdu Times Plaza

Certified Telecommunication Network & Link Integration

2025-07-28 09:30
28 hours
Chengdu Times Plaza

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