top of page
Abstract Linear Background

Advanced AI in Aviation

This advanced course explores the application of Artificial Intelligence (AI) and Large Language Models (LLMs) in the aviation industry. The course covers advanced AI/ML concepts, real-world applications, and cutting-edge research topics, including air traffic management, predictive maintenance, autonomous flight systems, NLP in aviation documentation, safety, security, and personalized passenger experiences. It also involves hands-on projects and a capstone challenge, preparing professionals to implement AI-driven solutions in aviation.

Add a Title

Add paragraph text. Click “Edit Text” to update the font, size and more. To change and reuse text themes, go to Site Styles.

Next Item
Previous Item

Course Duration:

36 hours

Level:

Advanced

Course Objectives

  • To provide deep knowledge of AI and LLMs in the context of aviation applications.

  • To enable learners to implement AI-driven solutions for air traffic control, predictive maintenance, autonomous systems, and passenger experience.

  • To explore emerging AI technologies and their implications for aviation safety, security, and operational efficiency.

  • To develop practical skills in designing, deploying, and evaluating AI models tailored to aviation challenges.

Prerequisites

  • Fundamental knowledge of AI, machine learning, and deep learning concepts.

  • Familiarity with natural language processing (NLP) techniques.

  • Basic understanding of aviation operations and systems (ideal but not mandatory).

bottom of page