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. Malta onsite live Telecom trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
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
code examples:-)
Marcin - Marta Skiba, P4 Sp. z o.o.
Course: Deep Learning for Telecom (with Python)
I really liked the demos and the content.
Felix Navarro, Motorola Solutions
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 - Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (with Python)
The last two days went more into state of the art and available tools that exist for training and deploying models. Also getting a better understanding of pytorch was very useful for me as someone who was only familiar with keras but have been seeing more and more implementations in pytorch.
Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (with Python)
The instructors were super knoweledgeable and skilled at conjuring up anything we could ask for examples on. That was amazing. Hopefully we can get to that level in time.
Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (with Python)
The colab notebooks we get to keep
Palmer Greer - Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (with Python)
Breadth of content was good, even though the main focus seemed more on image/video processing.
Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (with Python)
The clarity with which it was presented
John McLemore - Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (with Python)
The Colab Notebooks with the training and examples notes.
Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (with Python)
The exercises were very good and interactive. Instructors were always answering all questions and providing their insight on all topics
Felix Navarro, Motorola Solutions
Course: Deep Learning for Telecom (with Python)
lots of information, all questions ansered, interesting examples
A1 Telekom Austria AG
Course: Deep Learning for Telecom (with Python)
Playing around in a non production environment.
Tele 2 Sverige AB
Course: OpenStack for Telecom
The paste, all the information I got.
Tele 2 Sverige AB
Course: OpenStack for Telecom
I like that we before the training had some meetings to discuss what parts we should focus on, and what is interesting for us at Tele2.
Tele 2 Sverige AB
Course: OpenStack for Telecom
The varied topics
Daniel Lindh - Tele 2 Sverige AB
Course: OpenStack for Telecom
Telecom Course Outlines in Malta
Course Name
Duration
Overview
Course Name
Duration
Overview
28 hours
In this instructor-led, live training in Malta, 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.
7 hours
In this instructor-led, live training in Malta, 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.
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.
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.
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:
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
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
- Part lecture, part discussion, hands-on exercises
35 hours
This instructor-led, live training in Malta (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.
14 hours
This instructor-led, live training in Malta (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.
21 hours
This instructor-led, live training in Malta 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.).
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