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Course Detail: AIAA - Applied Analytics and AI in Aviation Safety
Transform aviation data into actionable safety insights through applied analytics and AI.
Overview
Data analytics and artificial intelligence are transforming how aviation organizations identify hazards, manage risk, and improve safety performance. The Applied Analytics and AI in Aviation Safety course focuses on using these capabilities in real-world aviation contexts to support practical, data-informed decision-making.
Through industry-based case studies, hands-on activities, and guided projects, participants will learn how to identify and evaluate relevant aviation data, uncover meaningful patterns, develop clear visualizations, and translate findings into actionable safety insights. The course emphasizes application, helping participants use analytics and AI to strengthen safety management, prioritize resources, and support proactive risk mitigation.
Throughout the course, participants will build practical skills using current analytical and AI tools. Whether analyzing operational trends, identifying emerging hazards, or supporting safety investigations, participants will learn how to apply data-driven approaches to address real aviation safety challenges. The objective is to move beyond simply responding to incidents and build the capability to anticipate risks and support continuous safety improvement.
Key topics include:
- Applying data analytics to aviation safety challenges
- Identifying, evaluating, and preparing aviation data sources
- Using descriptive statistics to understand safety trends and patterns
- Creating and interpreting data visualizations for operational decision-making
- Applying analytics to identify hazards and assess risk
- Integrating AI tools into aviation safety analysis
- Translating analytical findings into actionable safety recommendations
- Supporting proactive safety management through data-driven insights
Who Should Attend
This course is designed for aviation professionals who want to harness the power of data to elevate safety performance and decision-making. Ideal participants include individuals seeking to strengthen their analytical skills and apply them in real-world aviation contexts, including:
- Safety managers
- Aviation enterprise professionals
- Data analysts
- Operations specialists
- Engineers and technical professionals
- Regulatory and compliance professionals
- Aviation leaders responsible for safety performance and decision-making
Whether you are strengthening your current analytical capabilities, transitioning into a data-focused role, or supporting innovation within your organization, this course will help you convert aviation data into practical insights that inform action and improve safety outcomes.
Course Objectives
By completing the Applied Analytics and AI in Aviation Safety course, participants will be able to:
- Apply data analytics concepts to practical aviation safety challenges.
- Identify and evaluate aviation data sources that support safety analysis.
- Use descriptive statistics and visualizations to recognize trends, patterns, and emerging risks.
- Develop and interpret analytical outputs that support informed safety decisions.
- Apply foundational predictive techniques to help identify potential safety risks.
- Use AI tools to enhance safety analysis, insight development, and decision-making.
- Translate data-driven findings into practical recommendations for aviation organizations.
- Support more proactive, measurable, and continuously improving safety management practices.
Course Format
Experience the flexibility of an online, instructor-facilitated course designed to fit your schedule. The program is delivered asynchronously, allowing you to learn at your own pace with weekly modules and practical assignments - no mandatory meeting times required.Plan to dedicate 8-10 hours per week to interactive lessons, real-world applications, and reflective learning activities. All coursework is fully web-based, you just need a reliable internet connection. Courses open on the published start date and must be completed by the scheduled end date. Upon successful completion, participants receive a digital Certificate of Achievement, showcasing their commitment to professional excellence.
Technology Requirements
Continuing Education Units (CEUs)
Registration Information
The preferred method of payment is credit-card at the time of registration. If you are paying by another method of payment (wire-transfer, employer voucher, check/PO), please 'Create Profile' from the left menu and then contact Daytona Beach ProEd to submit a registration request. Please note registration requests are not guaranteed until payment is received in full.
Cancellation Policy
A cancellation charge of $150 will be assessed on any standard cancellations. A late cancellation charge of 25% of the course registration fee will be assessed on cancellations occurring within 14 days of the start of the course. For additional information, please review the detailed cancellation, deferment, no-show and refund policies.