Global Certificate in Airspace Digital Transformation
-- ViewingNowThe Global Certificate in Airspace Digital Transformation is a cutting-edge course that equips learners with the skills needed to lead digital transformations in the aviation industry. This course is critical for professionals seeking to stay ahead in a rapidly evolving field, where digital technologies are reshaping the way airspace is managed and navigated.
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GBP £ 140
GBP £ 202
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โข Airspace Data Management: This unit will cover the collection, processing, and management of airspace data, including primary and secondary surveillance radar, automatic dependent surveillance-broadcast (ADS-B), and multilateration systems.
โข Digital Communication Systems: This unit will explore the various digital communication systems used in airspace, such as VHF, HF, and satellite communication, and their impact on air traffic management.
โข Cybersecurity for Air Traffic Management: This unit will discuss the importance of cybersecurity in air traffic management, including best practices for securing airspace data, communication systems, and air traffic control (ATC) automation systems.
โข Airspace Design and Operations: This unit will cover the design and operation of airspace, including the use of performance-based navigation (PBN) and free route airspace to optimize air traffic flow and reduce delays.
โข ATC Automation Systems: This unit will explore the various ATC automation systems used in airspace, such as air traffic control centers, airport towers, and approach control facilities.
โข Air Traffic Flow Management: This unit will discuss the use of air traffic flow management tools, such as traffic management initiatives (TMIs), collaborative decision-making (CDM), and airport capacity management, to optimize air traffic flow and reduce delays.
โข Airline Operations Center (AOC) Integration: This unit will cover the integration of AOC systems with air traffic management systems, including data exchange standards, interfaces, and communication protocols.
โข Artificial Intelligence and Machine Learning in Airspace: This unit will explore the use of AI and machine learning in airspace, including applications for predictive maintenance, demand forecasting, and automated decision-making.
โข UAV/UTM Integration: This unit will discuss the integration of unmanned aerial vehicles (UAVs) and unmanned traffic management (UTM) systems into airspace, including regulatory frameworks, safety standards, and communication protocols.
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