This learning program covers the topics of benefits, drivers, and challenges of Open RAN, as well as its technology and architecture. It will help learners to gain awareness of the motivation and imperative of Open RAN and its potential to transform the industry.

This learning program covers the topics of Open RAN architecture and the underlying drivers behind it: disaggregation, open interfaces, virtualization, automation, and orchestration.

This learning program provides a complete description of all the tasks required to complete the integration of each of the components of the Open Ran architecture and successfully achieve the activation of the Open RAN site.

This learning program provides the high-level guidelines to perform Open RAN network TCO and business case assessment. Moreover, it will help learners to differentiate economic implications when comparing legacy RAN and Open RAN implementations.

This learning program introduces the framework for using AI / ML technologies to improve the performance and automation of radio resources in the access network through intelligent algorithms that improve the system continuously.

This learning program shows the different considerations about security by design in Open RAN productisation in each of the fundamental blocks that compose its architecture and points to the security requirements.

This learning program provides a detailed vision of the architecture and functionalities of the DU and CU as well as the Hardware that supports it as well as implementation and integration scenarios.

This learning program provides a detailed guide on planning and evaluating business cases in Open RAN networks to understand the impact of each decision on Total Cost of Ownership.

This learning program offers an overview of the importance of energy efficiency (EE) as an E2E requirement of the Open RAN system. It explains the technical requirements we must focus on to achieve energy efficiency in the Open RAN solutions

This learning program provides a complete vision of the Intelligent Radio Controller through the study of its architecture, functionalities, and evolution of proprietary based Self Organising Networks (SON) to open standards-based AI based SON.

This learning program provides a complete vision of the architecture and functions of the SMO, of deployment platforms, scenarios, and integration with the current NOC.

This learning program provides a detailed vision of the architecture and functionalities of the RU as well as the HW that supports it and the implementation and integration scenarios.

This learning program will train students to identify the steps and task required to achieve a successful integration of the Open RAN system, while providing them with the knowledge necessary to recognize and minimize potential risks that may arise during this process.

This learning program provides the tools to understand how CI / CD is applied in an Open RAN environment from the challenges we face and opportunities we encounter, to use cases and workflow examples.

This learning program presents the new problem of managing and governing Open RAN implementations in a multivendor ecosystem, equipping the student with the necessary knowledge to be able to tackle this complex task

This learning program guides students through examples so that they acquire the necessary knowledge to be able to define and execute their own validation test plans for the RU and DU/CU subsystems in an Open RAN architecture.

This learning program explains the differences between the interface interoperability testing and traditional RAN components testing. It describes the IOT methodology, setup and the main testcases within the Fronthaul and the Midhaul (F1) open RAN interfaces.

This learning program will allow students to do benchmarking between the vendors based on their performance , capacity , their influence in the Open RAN ecosystem

The Open RAN Lab learning program will allow you to gain practical experience through instant access to a virtual Lab via LabLabee, where you will be able to test your skills regarding the Open RAN.