OpenStack for Telecom Training Course

Artificial Intelligence (AI) encompasses a range of technologies designed to create intelligent systems capable of interpreting data and the surrounding context to make "intelligent decisions." For telecom providers, developing applications and services that leverage AI can open doors to enhanced operations and service delivery, particularly in areas like maintenance and network optimization.

This course explores the various technologies that constitute AI and the skill sets necessary to implement them. Throughout the training, we will examine specific AI applications within the telecommunications industry.

Audience

• Network engineers
• Network operations personnel
• Telecom technical managers

Format of the course

• Lecture, discussion, and hands-on exercises

In this instructor-led live training in Romania, participants will learn how to implement deep learning models for the telecom sector using Python, guided through the creation of a deep learning credit risk model.

Upon completion of this training, participants will be able to:

• Grasp the fundamental concepts of deep learning.
• Explore the applications and uses of deep learning within the telecom industry.
• Utilize Python, Keras, and TensorFlow to develop deep learning models tailored for telecom.
• Construct their own deep learning customer churn prediction model using Python.

This instructor-led, live training in Romania (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 Romania (online or onsite) is designed for 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 (online or onsite) is aimed at intermediate-level IT professionals and technicians who wish to understand fiber optic systems, perform measurements, and apply best practices for installation and maintenance.

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

• Understand the principles and advantages of fiber optic communication.
• Identify different types of fiber cables, connectors, and splicing methods.
• Use key optical measurement instruments such as OTDR and fusion splicers.
• Perform basic troubleshooting, testing, and documentation of optical networks.

Format of the Course

• Interactive lecture and discussion.
• Practical demonstrations and instrument handling.
• 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 Romania (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, available Romania (online or on-site), is tailored for DevOps engineers and developers seeking 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 operational tasks (backup, restore, etc.).
• Upgrade OpenStack deployments.

This course aims to familiarize participants with the OpenStack environment from both operator and administrator perspectives. Following a concise introduction to cloud computing, students will be provided with their own OpenStack instance to perform hands-on operational and administrative tasks. The curriculum covers all fundamental components of OpenStack, ranging from general architecture to cloud administration. Approximately 90% of the course consists of practical workshops conducted in a real OpenStack environment.

The course addresses all topics included in the Certified OpenStack Administrator exam, preparing participants both theoretically and practically. Additionally, the program has been expanded to include topics that help participants better understand the nuances required to pass the exam. At the end of the course, every participant will have the opportunity to test their knowledge during a mock COA exam.

This course serves as comprehensive training on OpenStack. It starts with an introduction to the system, followed by hands-on workshops that provide practical knowledge for managing private clouds based on OpenStack. The course concludes with coverage of troubleshooting and advanced architectural topics. Its goal is to familiarize participants with the OpenStack ecosystem and provide a strong foundation for further expansion and refinement of OpenStack clouds. The curriculum covers all topics necessary to achieve the OpenStack Administrator certificate.

This course is designed to familiarize participants with the OpenStack environment from both operational and administrative perspectives. Following a concise introduction to cloud computing concepts, learners will set up their own OpenStack instance and perform practical operational and administrative tasks. The curriculum covers all fundamental components of OpenStack, ranging from general architecture to cloud administration. Approximately 75% of the course consists of hands-on workshops conducted in a real OpenStack environment.

This course has a dual objective: to establish a robust understanding of OpenStack architecture and to develop advanced troubleshooting capabilities. In the architecture module, participants will learn how to design hardware for both public and private clouds, configure a high-availability control plane, select appropriate flavor sizes, and safely implement resource overcommitment. A critical component is gaining insight into the internals of Neutron, OpenStack's Networking Service. The troubleshooting section introduces methods for resolving issues within OpenStack clusters, progressing from general advice and network diagnostics to specific challenges associated with core OpenStack services. Approximately 75% of the course consists of hands-on workshops conducted in a real-world OpenStack training environment.

This course offers comprehensive training on OpenStack. It begins with an introduction to the system, followed by hands-on workshops that provide practical knowledge for managing private clouds built on OpenStack. Finally, the curriculum covers troubleshooting and advanced architectural topics. The primary goal is to familiarize participants with the OpenStack ecosystem while establishing a strong foundation for further expanding and refining OpenStack clouds. The course includes all necessary topics to prepare for the OpenStack Administrator certification exam. Approximately 75% of the course consists of hands-on workshops conducted in a real OpenStack training environment.

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 Romania (online or onsite) targets intermediate-level telecommunications engineers who wish to acquire the knowledge and skills necessary to design, implement, and maintain telecommunication networks. The course emphasizes link integration to ensure 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 Romania (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.