Jelenia Góra

Pałac Wojanów, Wojanów 8, Jelenia Góra, Polska, 58-508

Wrocław

NobleProg, Ludwika Rydygiera 2a/22, Wroclaw, Polska, 50-249
Lokal znajduje się w samym centrum miasta (vis-à-vis hotelu HP Park Plaza), zaledwie 10 minut spacerem od Rynku, tuż przy ...

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Deep Learning for Telecom (with Python)

28 godzin
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed. Deep learning is a subfield of machine learning which uses methods based on learning data representations and structures such as neural networks. Python is a high-level programming language famous for its clear syntax and code readability. In this instructor-led, live training, 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.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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AI Awareness for Telecom

14 godzin
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 godzin
Blockchain is a technology for building decentralized systems. For Telecom providers, this technology could open the door for improved service offerings in areas such as billing and fraud detection, to name just two. In this instructor-led, live training, 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. Format of the course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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BSS (BUSINESS SUPPORT SYSTEM) for Telecom

21 godzin
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 godzin
OpenStack is an open source IaaS (Infrastructure as a Service) software stack. It is  popular among Telecom providers who wish to optimize their network stack through Network Functions Virtualization (NFV). This instructor-led, live training (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.
Format of the course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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OSS ( Operation Support System ) for Telecom

21 godzin
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 godzin
Wireless and telecom network security refers the practices carried out to safeguard communication devices, terminal equipment, routing equipment, servers and Wireless devices and networks against malicious attacks.  This instructor-led, live training (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. Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Last Updated:

Opinie uczestników (8)

Ćwiczenia praktyczne.

Adam Borowski - NetWorkS! Sp. z o.o.
Szkolenie - AI Awareness for Telecom

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
Szkolenie - Blockchain for Telecom

examples based on our data

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

code examples:-)

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

The colab notebooks we get to keep

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

The clarity with which it was presented

John McLemore - Motorola Solutions
Szkolenie - Deep Learning for Telecom (with Python)

The varied topics

Daniel Lindh - Tele 2 Sverige AB
Szkolenie - OpenStack for Telecom

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