Online or onsite, instructor-led live Telecom training courses demonstrate through interactive hands-on practice the fundamentals and advanced topics of Telecom.
Telecom training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Dolnośląskie onsite live Telecom trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Wrocław
NobleProg , Ludwika Rydygiera 2a/22, Wroclaw, Poland, 50-249
Classroom is located in the city center (right next to HP Park Plaza), just 10 minutes walk from the market square.
The entrance to the building is located from the Śrutowa street.
Check our offer to rent rooms and rent computer equipment!
Parking
Near the classroom, the number of free parking spaces is limited, there is no paid parking zone (along Rydygiera, Śrutowa and Henryka Brodatego, Bolesława Drobnera streets).
Public transport
The nearest tram stops: Dubois, Pomorska
The nearest bus stops: Dubois
Jelenia Góra
Pałac Wojanów, Wojanów 8, Jelenia Góra, Poland, 58-508
This instructor-led, live training in dolnośląskie (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.
This instructor-led, live training in dolnośląskie (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.
This instructor-led, live training in dolnośląskie (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.
In this instructor-led, live training in dolnośląskie, 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.
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
In this instructor-led, live training in dolnośląskie, 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.
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.
This instructor-led, live training in dolnośląskie (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.
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:
This instructor-led, live training in dolnośląskie (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 (4)
The clarity with which it was presented
John McLemore - Motorola Solutions
Course - Deep Learning for Telecom (with Python)
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.
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