OpenStack for Telecom Training Course

AI comprises a suite of technologies designed to create intelligent systems that can comprehend data and the surrounding context to facilitate "intelligent decision-making." For telecommunications providers, developing applications and services that leverage AI can unlock significant improvements in operational efficiency and service quality, particularly in areas like maintenance and network optimization.

This course explores the diverse technologies that constitute AI and the essential skill sets required to implement them effectively. Throughout the program, we will examine specific applications of AI within the telecom industry.

Target Audience

• Network engineers
• Network operations staff
• Telecom technical managers

Course Format

• A blend of lectures, discussions, and hands-on exercises

In this instructor-led, live training in South Korea, participants will learn how to implement deep learning models for the telecom industry 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 South Korea (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 South Korea (online or on-site) is designed for intermediate-level network engineers seeking to acquire the skills necessary to design, install, and maintain fiber optic networks.

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

• Grasp 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 South Korea (online or onsite) is tailored for intermediate-level network engineers who aim to effectively utilize, maintain, and troubleshoot microwave networks.

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

• Grasp the fundamental principles and operational mechanics of microwave communication systems.
• Design and deploy point-to-point and point-to-multipoint microwave links.
• Conduct link budget analysis and perform network planning.
• Operate, maintain, and troubleshoot microwave networks with efficiency.

This instructor-led, live training in South Korea (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.

This course is designed to familiarize participants with the OpenStack environment from both operator and administrator perspectives. Following a concise introduction to cloud computing, you will receive your 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. With approximately 90% of the course dedicated to hands-on workshops in a real OpenStack environment, the program ensures practical proficiency.

The course addresses all topics required for the Certified OpenStack Administrator exam, preparing participants both theoretically and practically. Additionally, the program has been expanded to cover topics that help participants better understand the nuances of OpenStack necessary for exam success. At the conclusion of the course, every participant will have the opportunity to assess their readiness through a mock COA exam.

This course serves as comprehensive OpenStack training. It starts with an introduction to the
system, then uses hands-on workshops to impart practical knowledge for managing private
clouds based on OpenStack. Finally, it covers troubleshooting and advanced, architectural topics. The
objective is to familiarize learners with the OpenStack ecosystem while establishing a solid
foundation for expanding and refining OpenStack clouds.
The course includes all necessary topics to prepare for the OpenStack
Administrator Certification exam.

This course is designed to help participants gain familiarity with the OpenStack environment from both operational and administrative perspectives. After a brief 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 is designed with two primary objectives: to provide a comprehensive understanding of OpenStack's architecture and to develop advanced troubleshooting capabilities. On the architectural side, participants will learn to design hardware configurations for both public and private clouds, establish a high-availability control plane, determine appropriate flavor sizes, and implement safe resource overcommitment strategies. A crucial component of this module is gaining insight into the internal workings of Neutron, the Networking Service. The troubleshooting segment introduces various techniques for addressing issues within OpenStack clusters, ranging from general best practices and network-specific diagnostics to navigating the complexities of core OpenStack services. Approximately 75% of the curriculum consists of hands-on workshops conducted in a realistic OpenStack training environment.

This course offers comprehensive training in OpenStack. It begins with an introduction to the system, followed by practical workshops that provide hands-on experience in managing OpenStack-based private clouds. The curriculum concludes with troubleshooting techniques and advanced architectural topics. The primary objective is to familiarize participants with the OpenStack ecosystem and establish a robust foundation for further development and optimization of OpenStack cloud environments. This course covers all necessary topics to prepare for the OpenStack Administrator certification exam, with 75% of the content dedicated to hands-on workshops 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 South Korea (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 South Korea (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.