OpenStack for Telecom Training Course

AI represents a suite of technologies designed to construct intelligent systems capable of interpreting data and its surrounding context to facilitate "intelligent decisions." For telecom providers, developing applications and services that leverage AI can unlock significant improvements in operations and customer service, particularly in areas like maintenance and network optimization.

This course explores the diverse technologies that constitute AI and the skill sets necessary to apply them effectively. Throughout the training, we will delve into specific AI applications tailored to the telecom industry.

Audience

• Network engineers
• Network operations staff
• Telecom technical managers

Course Format

• Combination of lectures, discussions, and hands-on exercises

In this instructor-led live training in Mexico, participants will learn how to implement deep learning models for the telecommunications sector 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 Mexico (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 Mexico (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 Mexico (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 Mexico (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.

This course is designed to familiarize participants with the OpenStack environment from both operational and administrative perspectives. Following a concise introduction to cloud computing, students will deploy their own OpenStack instance and perform practical operational and administrative tasks. The curriculum encompasses all fundamental components of OpenStack, ranging from general architecture to comprehensive cloud administration. Approximately 90% of the course consists of hands-on workshops conducted within a real OpenStack environment.

The course addresses all topics covered in the Certified OpenStack Administrator exam, preparing participants both theoretically and practically. Additionally, the course program has been expanded to include topics that help participants better understand the nuances and pitfalls of OpenStack, which are essential for passing 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 serves as comprehensive training on OpenStack. It starts with an introduction to the system and proceeds through hands-on workshops that provide practical knowledge for managing private clouds based on OpenStack. Finally, it covers troubleshooting and advanced architectural topics. The primary goal of this course is to familiarize participants with the OpenStack ecosystem while establishing a strong foundation for the further expansion and refinement of OpenStack clouds. The content includes all necessary topics to prepare for the OpenStack Administrator Certificate exam.

This course is designed to provide a comprehensive understanding of the OpenStack environment from both operational and administrative perspectives. After a concise introduction to cloud computing, participants will set up their own OpenStack instance and engage in practical operational and administrative tasks. The curriculum covers all essential OpenStack components, ranging from general architecture to full-scale cloud administration. Approximately 75% of the course consists of hands-on workshops conducted in a real OpenStack environment.

This course has two primary objectives: to establish a strong foundation in OpenStack architecture and to develop advanced troubleshooting capabilities. In the architectural module, participants will learn how to design hardware infrastructure for both public and private clouds, configure a high-availability control plane, select appropriate flavor sizes, and implement safe resource overcommitment strategies. A critical component of this training involves understanding the internal workings of Neutron (the Networking Service). Furthermore, students will be guided through various troubleshooting techniques for OpenStack clusters, ranging from foundational tips and network diagnostics to addressing common pitfalls in core OpenStack services. Approximately 75% of the curriculum consists of practical workshops conducted within a real-world OpenStack training environment.

This course offers comprehensive training on OpenStack. It begins with an introduction to the system, proceeds through hands-on workshops that provide practical knowledge for managing OpenStack-based private clouds, and concludes with troubleshooting and advanced architectural topics. The objective is to familiarize participants with the OpenStack ecosystem while establishing a strong foundation for further expansion and refinement of OpenStack clouds. The curriculum covers all topics required to pass the OpenStack Administrator certification exam. Seventy-five percent of the course consists of hands-on workshops conducted in a real OpenStack training environment.

This instructor-led, live training (available online or onsite) is aimed at beginner 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 Mexico (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 Mexico (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.