Richmond Hill - The Business Exchange

9225 Leslie Street, Richmond Hill, Canada, L4B 3H6
Place your business in the peaceful surroundings of Richmond Hill, home to leading global brands. Located in the northern sub...

Explore Our Courses

Deep Learning for Telecom (with Python)

28 Hours
In this instructor-led, live training in Richmond Hill, 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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Blockchain for Telecom

7 Hours
In this instructor-led, live training in Richmond Hill, we examine the core principles behind Blockchain technology and gain an understanding of its overall architecture and functionality. Throughout the course, we examine Blockchain technology's specific applications within the Telecom industry. Scenarios include security, payment systems, and user verification.
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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 Richmond Hill (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 Richmond Hill (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 (7)

Trainer knows very well the subject. He try to give a lot of examples in order that we understand "how" it is working. He answer to all questions raised. Very available.

christel salve - BICS
Course - Blockchain for Telecom

examples based on our data

Witold - P4 Sp. z o.o.
Course - Deep Learning for Telecom (with Python)

code examples:-)

Marcin - P4 Sp. z o.o.
Course - Deep Learning for Telecom (with Python)

I liked that the instructor had many pre-written scripts to show off many different aspects of ML and AI. I really enjoyed being able to see live demos of so many ways ML and AI is being used. Much of what we covered was cutting edge technology that is still in its early stages of development.

Matthew Pepper - Motorola Solutions
Course - Deep Learning for Telecom (with Python)

The colab notebooks we get to keep

Palmer Greer - Motorola Solutions
Course - Deep Learning for Telecom (with Python)

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

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