OpenStack for Telecom Training Course

Artificial Intelligence (AI) comprises a suite of technologies designed to construct intelligent systems capable of analyzing data and contextual activities to enable 'intelligent decision-making.' For telecommunications providers, developing applications and services that leverage AI can unlock significant improvements in operations and service delivery, particularly within maintenance and network optimization.

This course explores the diverse technologies that constitute AI, as well as the skill sets necessary to implement them effectively. Throughout the curriculum, we investigate the specific applications of AI 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 Turkey, 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 Turkey (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 Turkey (online or onsite) targets 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 Turkey (online or onsite) targets intermediate-level network engineers seeking to master the usage, maintenance, and troubleshooting of microwave networks.

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

• Comprehend the underlying 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 Turkey (online or onsite) is tailored for DevOps engineers and developers who aim 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 operational tasks (backup, restore, etc.).
• Upgrade OpenStack deployments.

This course is designed to help participants become familiar with the OpenStack environment from both the operator and administrator perspectives. After a brief introduction to cloud computing, learners will set up their own OpenStack instance and 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 includes approximately 90% practical workshops conducted in a real OpenStack environment.

The course addresses all topics covered in the Certified OpenStack Administrator exam, preparing participants both theoretically and practically. Additionally, the program is expanded to include subjects that help participants better understand the nuances required to pass the exam. At the end of the course, every participant will have the opportunity to test their knowledge during a mock COA exam.

This program offers comprehensive training on OpenStack, starting with foundational system concepts and progressing through practical workshops designed to impart expertise in managing private OpenStack clouds. The curriculum concludes with advanced architectural insights and troubleshooting techniques. The primary objective is to familiarize learners with the OpenStack ecosystem while establishing a robust foundation for the further expansion and optimization of OpenStack cloud environments. The course content aligns with all requirements for achieving the OpenStack Administrator Certificate.

This course is designed to provide a comprehensive understanding of the OpenStack environment, addressing both operational and administrative perspectives. Following a concise introduction to cloud computing principles, participants will deploy their own OpenStack instance and engage in practical operational and administrative tasks. The curriculum encompasses all fundamental OpenStack components, ranging from general architectural concepts to cloud administration techniques. The course structure is heavily practice-oriented, with approximately 75% dedicated to hands-on workshops conducted within a real OpenStack environment.

This course is designed with a dual objective: to provide comprehensive insights into OpenStack architecture and to develop advanced troubleshooting expertise. In the architecture module, participants will learn to design hardware for both public and private clouds, configure a high-availability control plane, select appropriate flavor sizes, and safely manage resource overcommitment. A critical component of the architectural training involves understanding the internals of Neutron (the Networking Service). The course then transitions to troubleshooting methodologies for OpenStack clusters, covering general tips, network diagnostics, and specific challenges associated with core OpenStack services. Approximately 75% of the instruction is delivered through hands-on workshops within a real-world OpenStack training environment.

This course provides comprehensive training on OpenStack. It begins with an introduction to the system, progresses through hands-on workshops that impart practical knowledge for managing OpenStack-based private clouds, and concludes with troubleshooting and advanced architectural topics. The primary objective is to familiarize participants with the OpenStack ecosystem while providing a robust foundation for the subsequent expansion and refinement of OpenStack clouds. The curriculum covers all necessary topics to prepare for the OpenStack Administrator Certification exam. Notably, 75% of the course consists of hands-on workshops conducted in a real OpenStack training environment.

This instructor-led, live training (available online or onsite) targets beginner-level and intermediate-level telecom engineers and field professionals who wish to apply 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 completion 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 live, instructor-led training in Turkey (online or onsite) is designed for intermediate-level telecommunications engineers who wish to gain the knowledge and skills required to design, implement, and maintain telecommunication networks, focusing on link integration to ensure seamless communication and data transfer.

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 Turkey (online or onsite) is aimed at technical individuals who want to apply the most appropriate tools and techniques to secure both telecom and wireless networks.