OpenStack for Telecom Training Course

AI is a collection of technologies for building intelligent systems capable of understanding data and the activities surrounding the data to make "intelligent decisions". For telecommunications providers, developing applications and services that leverage AI can unlock improved operations and service delivery in areas such as maintenance and network optimisation.

In this course, we explore the various technologies that constitute AI and the skill sets required to apply them effectively. Throughout the course, we examine AI's specific applications within the telecommunications industry.

Audience

• Network engineers
• Network operations personnel
• Telecom technical managers

Format of the course

• Part lecture, part discussion, hands-on exercises

In this instructor-led, live training in New Zealand, participants will learn how to implement deep learning models for the telecommunications sector using Python, as they progress through the development 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.
• Explore the applications and use cases of deep learning in telecommunications.
• Use Python, Keras, and TensorFlow to build deep learning models tailored for the telecom industry.
• Develop their own deep learning customer churn prediction model using Python.

This instructor-led, live training in New Zealand (delivered online or on-site) is designed for beginner to intermediate-level OT technicians and network support staff who wish to use practical fibre diagnostic tools to identify common fibre 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 New Zealand (online or onsite) is aimed at intermediate-level network engineers who wish to gain the skills needed to design, install, and maintain fibre optic networks.

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

• Understand the fundamentals of fibre optic technology.
• Apply network design principles for point-to-point and FTTH networks.
• Install and maintain fibre optic cables and connectors.
• Test and troubleshoot fibre optic networks.

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

This instructor-led, live training (online or on-site) is designed for intermediate-level IT professionals and technicians who wish to understand fibre optic systems, carry out 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 fibre optic communication.
• Identify different types of fibre cables, connectors, and splicing methods.
• Use key optical measurement instruments such as OTDRs and fusion splicers.
• Perform basic troubleshooting, testing, and documentation of optical networks.

Course Format

• Interactive lectures and discussions.
• Practical demonstrations and hands-on instrument handling.
• Hands-on exercises in a live-lab environment.

Course Customisation Options

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

This instructor-led, live training in New Zealand (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 New Zealand (online or on-site) is designed for DevOps engineers and developers who want 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 routine OpenStack operations such as backup, restore, and more.
• Upgrade OpenStack deployments.

The aim of this course is to familiarise 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 carry out hands-on operational and administrative tasks. The course covers all fundamental components of OpenStack, ranging from general architecture to cloud administration. The format is highly practical, with approximately 90% of the course dedicated to workshops conducted in a real OpenStack environment.

The course encompasses all topics included in the Certified OpenStack Administrator exam, preparing participants both theoretically and practically. Additionally, the programme has been extended to include topics that will help participants better understand the key considerations and nuances required to successfully pass the exam. By the end of the course, every participant will have the opportunity to assess their knowledge through a mock COA exam.

This course offers comprehensive training on OpenStack. It starts with an introduction to the system, then progresses through hands-on workshops that provide practical knowledge for managing private clouds built on OpenStack. The curriculum concludes with troubleshooting and advanced architectural topics. The goal is to familiarise learners with the OpenStack ecosystem while providing a strong foundation for further expansion and refinement of OpenStack clouds.
The course covers all topics required to sit the OpenStack Administrator (COA) certification exam.

The aim of this course is to familiarise participants with the OpenStack environment from both an operator and administrator perspective. Following a brief introduction to cloud computing, you will set up your own OpenStack instance and carry out hands-on operational and administrative tasks. The course covers all fundamental components of OpenStack, ranging from general architecture to cloud administration. The format of the course consists of approximately 75% practical workshop sessions within a real OpenStack environment.

The aim of this course is twofold: to gain a solid understanding of OpenStack architecture and to acquire advanced troubleshooting skills. In the architecture component, you will learn how to design hardware for both public and private clouds, configure a high-availability control plane, select appropriate flavour sizes, and safely overcommit cloud resources, among other key topics. Gaining insight into the internals of Neutron (the Networking Service) is another essential aspect of OpenStack architecture. Following this, participants will be introduced to methods for troubleshooting issues within OpenStack clusters, ranging from general best practices and network diagnostics to the specific pitfalls of major 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 expertise in managing private clouds built on OpenStack. The curriculum concludes with troubleshooting techniques and advanced architectural topics. The primary objective is to familiarise participants with the OpenStack ecosystem while laying a robust foundation for further expansion and refinement of OpenStack cloud environments. The course covers all essential topics required to sit for the Certified OpenStack Administrator exam. Notably, 75% of the training is delivered through practical, hands-on workshops within a real OpenStack training environment.

This instructor-led, live training (online or on-site) 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 New Zealand (online or on-site) 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 New Zealand (delivered online or on-site) is designed for technical professionals who wish to apply the most appropriate tools and techniques to secure both telecom and wireless networks.