OpenStack for Telecom Training Course

AI represents a suite of technologies designed to create intelligent systems capable of interpreting data and the surrounding context to facilitate "intelligent decisions." For telecom providers, leveraging AI in application and service development can unlock enhanced operational efficiency and service delivery, particularly in maintenance and network optimization.

This course explores the diverse technologies constituting AI and the necessary skill sets to apply them effectively. Throughout the sessions, we delve into AI's specific applications within the telecom sector.

Audience

• Network engineers
• Network operations personnel
• Telecom technical managers

Course Format

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

In this instructor-led live training in Norway, participants will learn how to implement deep learning models for the telecom industry using Python, guided by 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 Norway (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 Norway (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 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 Norway (online or onsite) is designed for intermediate-level network engineers who wish to effectively use, maintain, and troubleshoot microwave networks.

By the conclusion 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 session in Norway (available online or onsite) is designed for DevOps engineers and developers who aim to deploy and manage OpenStack services on cloud infrastructures using Kubernetes.

Upon completion of this training, participants will be capable of:

• Deploying, configuring, and managing MOS and its associated components.
• Accessing OpenStack APIs.
• Executing common OpenStack operational tasks (such as backup and restore).
• Upgrading OpenStack deployments.

This course is designed to provide a comprehensive understanding of the OpenStack environment from both operational and administrative perspectives. Following a brief introduction to cloud computing principles, participants will be assigned their own OpenStack instance to perform practical operational and administrative tasks. The curriculum covers all fundamental components of OpenStack, ranging from general architecture to full-scale cloud administration. Approximately 90% of the course consists of hands-on workshops conducted in a real-world OpenStack environment.

The course aligns with all topics included in the Certified OpenStack Administrator exam, preparing participants both theoretically and practically. Additionally, the course content has been expanded to include insights into common OpenStack pitfalls, helping participants better understand the nuances required to succeed in the exam. At the conclusion of the course, every participant will have the opportunity to assess their knowledge through a mock COA exam.

This course offers extensive training on OpenStack, starting with a system introduction and progressing through hands-on workshops that impart practical skills for managing OpenStack-based private clouds. The program concludes with coverage of troubleshooting techniques and advanced architectural concepts. The primary objective is to familiarize learners with the OpenStack ecosystem while establishing a robust foundation for further cloud expansion and optimization. The syllabus includes all necessary topics to prepare participants for the OpenStack Administrator certification exam.

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 practical operational and administrative tasks. The curriculum covers all fundamental components of OpenStack, ranging from general architecture to cloud administration. The course format is approximately 75% hands-on workshop experience in a real OpenStack environment.

This course has a dual objective: to build a solid understanding of OpenStack architecture and to develop advanced troubleshooting capabilities. 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 instance flavors, and safely overcommit cloud resources. A key component of this module is gaining deep insight into the internals of Neutron, the networking service. The second part of the course introduces participants to troubleshooting methods for OpenStack clusters, ranging from general best practices and network diagnostics to addressing specific challenges within core OpenStack services. Approximately 75% of the course consists of hands-on workshops conducted in a real OpenStack training environment.

This course equips you with the essential knowledge needed to approach, comprehend, manage, and successfully execute digitalization and preservation/archiving projects. Key topics include security measures, search methodologies, risk analysis techniques, and the identification of legal, regulatory, contractual, and insurance considerations. The curriculum provides a set of methodological tools to effectively digitize any process and select the most suitable solution, without delving into the specific technical details of the underlying technologies. Additionally, the course stimulates critical thinking regarding the future of digital data and the emerging technologies that should be considered to establish robust data governance.

Upon mastering all the concepts required for digitalization projects, you will be eligible to take the exam and apply for the PECB Certified Lead Digitalization and Electronic Archiving Manager certification. Earning this credential demonstrates that you possess the practical knowledge and professional expertise to support and lead a team responsible for executing digitalization and electronic preservation/archiving initiatives.

This live, instructor-led training (available online or onsite) is designed for beginner to intermediate telecom engineers and field professionals who wish to leverage 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.

Upon completing 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 Norway (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 Norway (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.