OpenStack for Telecom Training Course

AI is a suite of technologies designed to create intelligent systems that can interpret data and the activities associated with it, enabling them to make "intelligent decisions." For Telecom providers, developing applications and services that leverage AI can significantly enhance operations and service delivery in areas such as maintenance and network optimization.

In this course, we delve into the various technologies that constitute AI and the skills needed to effectively utilize them. Throughout the course, we explore how AI can be specifically applied within the Telecom industry.

Audience

• Network engineers
• Network operations personnel
• Telecom technical managers

Format of the course

• Combination of lectures, discussions, and hands-on exercises

In this instructor-led, live training in Serbia, 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.

This instructor-led, live training in Serbia (online or onsite) is aimed at beginner-level / intermediate-level OT technicians and network support staff who wish to use practical fiber diagnostic tools to identify common fiber faults and confirm when contractor support is needed.

By the end of this training, participants will be able to: inspect connectors safely, measure optical loss, locate likely breaks or bends, and document issues for escalation.

This instructor-led, live training in Serbia (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.

Fiber optics is a high-speed communication technology that transmits data using light signals through thin strands of glass or plastic fibers.

This instructor-led, live training (available both online and on-site) is designed for intermediate-level IT professionals and technicians who wish to gain a deeper understanding of fiber optic systems, perform precise measurements, and apply best practices for installation and maintenance.

By the end of this training, participants will be able to:

• Grasp the principles and benefits of fiber optic communication.
• Recognize different types of fiber cables, connectors, and splicing techniques.
• Utilize essential optical measurement tools such as OTDR and fusion splicers.
• Conduct basic troubleshooting, testing, and documentation of optical networks.

Format of the Course

• Interactive lectures and discussions.
• Practical demonstrations and hands-on use of instruments.
• Hands-on exercises in a live lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Serbia (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 Serbia (online or onsite) is aimed at DevOps engineers and developers who wish to deploy and manage OpenStack services on cloud infrastructures using Kubernetes.

By the end of this training, participants will be able to:

• Deploy, configure, and manage MOS and its components.
• Access OpenStack APIs.
• Perform common OpenStack operations tasks (backup, restore, etc.).
• Upgrade OpenStack deployments.

The objective of this course is to introduce you to the OpenStack environment from both the operator and administrator perspectives. After a concise overview of cloud computing, you will be provided with your own OpenStack instance to perform practical operational and administrative tasks. The course delves into all the fundamental components of OpenStack, covering everything from its overall architecture to cloud administration. Approximately 90% of the course is dedicated to hands-on workshops in a real OpenStack environment.

The course comprehensively addresses all topics covered in the Certificate OpenStack Administrator (COA) exam, preparing participants both theoretically and practically. Additionally, the curriculum has been expanded to include content that will help you better grasp the intricacies of OpenStack necessary for passing the exam. By the end of the course, each participant will have the opportunity to test their knowledge through a mock COA exam.

The course is a comprehensive training on OpenStack. It starts with the introduction to the
system, then through hands-on workshops it gives practical knowledge on managing private
clouds based on OpenStack, finally troubleshooting and advanced, architectural topics are
present. The goal of this course is to familiarize with the OpenStack ecosystem as well as to
give a strong background for further expansion and refinement of the OpenStack clouds.
The course comprises all topics necessary to accomplish the Certificate OpenStack
Administrator exam.

The goal of this course is to introduce you to the OpenStack environment, both from an operator's and an administrator's perspective. After a brief overview of cloud computing, you will be provided with your own OpenStack instance to perform practical operational and administrative tasks. The course covers all the essential components of OpenStack, ranging from its general architecture to the administration of the cloud. Approximately 75% of the course is dedicated to hands-on workshops in a real OpenStack environment.

The goal of this course is twofold: to gain a solid understanding of OpenStack architecture and to develop advanced troubleshooting skills. In the architectural segment, you will learn how to design hardware for both public and private clouds, set up a high-availability control plane, select appropriate sizes for flavors, and safely overcommit cloud resources, among other topics. Understanding the inner workings of Neutron (Networking Service) is also a crucial part of mastering OpenStack architecture. Following this, participants will be introduced to methods for troubleshooting issues in OpenStack clusters, starting with general tips, moving on to network troubleshooting, and delving into the nuances of the main OpenStack services. Approximately 75% of the course consists of hands-on workshops conducted in a real OpenStack training environment.

This course provides all the critical knowledge required to approach, understand, manage and successfully carry out a digitalization and retention/archiving project, including security, search and risk analysis techniques and the identification of legal, regulatory, contractual and insurance issues. A set of methodological tools is included in the themes covered, to effectively digitize any process and choose the appropriate solution without getting into the details of the related technologies. Finally, the course offers some food for thought on the changes in store for digital data and the new technologies to consider for establishing true data governance.

When you are well versed in all the concepts required for digitalization project, you will be able to take the exam and apply to be a PECB Certified Lead Digitalization and Electronic Archiving Manager. By earning this certificate, you will demonstrate that you have the practical knowledge and professional capacities to support and direct a team in charge of carrying out a digitalization and electronic retention/archiving project.

This instructor-led, live training (online or onsite) is aimed at beginner-level and intermediate-level telecom engineers and field professionals who wish to use structured deployment methodologies and industry best practices to successfully install, supervise, integrate, and manage multi-vendor wireless networks from 2G to 5G across operator and enterprise environments.

By the end of this training, participants will be able to:

• Install and configure multi-vendor BTS systems (Huawei, ZTE, Ericsson) from 2G to 5G.
• Supervise site deployment activities and coordinate RF, transmission, power, civil, and core network teams during integration.
• Prepare telecom sites for ATP (Acceptance Test Procedure) and manage operator handover processes.
• Monitor wireless KPIs and manage cluster-based and region-based network operations within commercial and technical reporting structures.

This instructor-led, live training in Serbia (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.

This instructor-led, live training in Serbia (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.