OpenStack for Telecom Training Course

AI encompasses a range of technologies designed to create intelligent systems that can interpret data and the activities related to 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 explore the various technologies that constitute AI and the skills needed to effectively utilize them. We also delve into the specific applications of AI within the Telecom industry throughout the course.

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 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 Taiwan (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 Taiwan (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 (online or onsite) is designed for intermediate-level IT professionals and technicians who want to gain a deeper understanding of fiber optic systems, perform 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 various types of fiber cables, connectors, and splicing techniques.
• Operate essential optical measurement tools such as OTDRs and fusion splicers.
• Conduct basic troubleshooting, testing, and documentation for 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

• For a customized training session tailored to your specific needs, 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 (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 acquaint participants with the OpenStack environment from both an operator and administrator perspective. After a brief overview of cloud computing, you will gain access to your own OpenStack instance and engage in practical operational and administrative tasks. The course covers all fundamental components of OpenStack, ranging from its general architecture to cloud administration. Approximately 90% of the course is dedicated to hands-on workshops conducted in a real OpenStack environment.

The course encompasses all topics relevant to the Certificate OpenStack Administrator (COA) exam and prepares participants both theoretically and practically for the exam. Additionally, the curriculum has been expanded to include content that will help participants better understand 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 objective of this course is to acquaint you with the OpenStack environment, both from an operator's and an administrator's perspective. Following a concise introduction to 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, ranging from its general architecture to cloud administration. Approximately 75% of the course is dedicated to hands-on workshops in a real OpenStack environment.

The objective of this course is two-fold: to gain a solid understanding of OpenStack architecture and to develop advanced troubleshooting skills. In the architecture segment, you will learn how to design hardware for both public and private clouds, set up a high-availability control plane, select appropriate instance sizes, and safely overcommit cloud resources, among other topics. Gaining insight into the internals of Neutron (Networking Service) is another critical aspect of OpenStack architecture. Following this, participants will be introduced to methods for troubleshooting issues in OpenStack clusters, starting with general tips, moving through network troubleshooting, and covering common pitfalls of key OpenStack services. Approximately 75% of the course involves hands-on workshops in a real OpenStack training environment.

This comprehensive course on OpenStack begins with an introduction to the system, followed by hands-on workshops that provide practical knowledge on managing private clouds using OpenStack. It also covers troubleshooting and advanced architectural topics. The primary goal of this course is to familiarize participants with the OpenStack ecosystem and equip them with a solid foundation for further expansion and refinement of OpenStack clouds. The curriculum includes all the necessary topics to prepare for the Certificate OpenStack Administrator exam, with 75% of the course 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 Taiwan (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 Taiwan (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.