OpenStack for Telecom Training Course

AI encompasses a suite of technologies designed to build intelligent systems capable of interpreting data and the context surrounding it to facilitate "intelligent decision-making." For telecom providers, developing applications and services that leverage AI can unlock significant improvements in operations and service delivery, particularly in areas such as maintenance and network optimization.

This course explores the various technologies that constitute AI and the skill sets necessary to implement them effectively. Throughout the curriculum, we will examine AI's specific applications 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 Taiwan, participants will learn how to implement deep learning models for telecommunications using Python by creating a deep learning credit risk model step-by-step.

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

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

This instructor-led, live training in Taiwan (online or onsite) is aimed at beginner-level to 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 Taiwan (online or on-site) is designed for intermediate-level network engineers who wish to acquire the skills required 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 Taiwan (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 Taiwan (available online or on-site) targets DevOps engineers and developers who intend 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 brief introduction to cloud computing, you will be provided with 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. The course format consists of approximately 90% hands-on workshops conducted in a real OpenStack environment.

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

This course serves as a comprehensive training program for OpenStack. It begins with an introduction to the system, followed by hands-on workshops that impart practical knowledge on managing private clouds based on OpenStack. Finally, it addresses troubleshooting and advanced, architectural topics. The objective of this course is to familiarize participants with the OpenStack ecosystem while providing a strong foundation for further expansion and refinement of OpenStack clouds. The course covers all topics required to achieve the Certificate OpenStack Administrator exam.

This course is designed to provide familiarity with the OpenStack environment from both operational and administrative perspectives. Following a brief introduction to cloud computing, participants will obtain 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 75% of the course consists of hands-on workshops conducted in a real-world OpenStack environment.

This course has a dual objective: to build a solid foundation in OpenStack architecture and to develop advanced troubleshooting expertise. During 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 overcommit cloud resources. A key component of the curriculum is gaining deep insights into Neutron, the OpenStack Networking Service. The troubleshooting segment introduces methods for resolving issues within OpenStack clusters, ranging from foundational tips and network diagnostics to navigating the complexities of core OpenStack services. Approximately 75% of the course consists of hands-on workshops conducted in a real-world OpenStack training environment.

This course provides comprehensive training on OpenStack, beginning with a system introduction and progressing through hands-on workshops that impart practical skills for managing OpenStack-based private clouds. The curriculum also covers troubleshooting and advanced architectural topics. The primary objective is to familiarize participants with the OpenStack ecosystem while establishing a robust foundation for further cloud expansion and optimization. This course covers all necessary topics to prepare for the OpenStack Administrator Certificate exam. Notably, 75% of the training is delivered via hands-on workshops within 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 Taiwan (online or in-person) is designed for intermediate-level telecommunications engineers who aim to acquire the knowledge and skills required to design, implement, and maintain telecommunication networks, emphasizing link integration to ensure seamless communication and data transfer across networks.

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

• Grasp the core principles of telecommunication networks.
• Design and deploy telecommunication networks.
• Implement advanced link integration strategies.
• Troubleshoot and resolve integration challenges.

This instructor-led, live training in Taiwan (online or onsite) is aimed at technical professionals who wish to apply the most suitable tools and techniques to secure both telecom as well as wireless networks.