Introduction
The programme “The Future of Aviation: Digitization, Artificial Intelligence, and Sustainability” develops professional practice in Aviation. It connects the subject with workplace challenges by examining existing evidence and practices and choosing methods appropriate to the organization and its available resources.
The learning progresses from aviation operations, safety management, and service quality to maintenance planning, work orders, and execution measurement, with practical work on artificial intelligence applications and controls, sustainability, impact assessment, and resources, occupational safety, risk assessment, and prevention. Participants prepare outputs to support workplace application and review the quality and results of implementation.
Learning objectives
- Analyze an aviation or airport process and connect its safety to coordination, data, and controls in an application related to “The Future of Aviation: Digitization, Artificial Intelligence, and Sustainability”.
- Design an AI use case with verification criteria and human review.
- Integrate environmental, social, and governance considerations into a measurable decision or process.
- Prepare a work risk assessment and prevention and response plan based on the hierarchy of controls.
- Build a maintenance plan and work order connecting asset criticality, resources, and documentation.
Learning areas
1. Aviation Operations, Safety Management, and Service Quality
- Define the operation type, participants, and responsibilities of the operator, airport, maintenance, and ground services, referring to the relevant regulatory framework.
- Analyze work handovers, timing, information, and human factors, identifying error and coordination points affecting operational safety.
- Apply the concepts of safety policy, risk management, safety assurance, and safety promotion to a training case relevant to the subject.
- Select data and indicators for monitoring reliability, compliance, and service quality, checking data confidentiality and the validity of trend interpretations.
- Prepare an improvement or response scenario at the planning and simulation level, following operating manuals and recognizing that training does not authorize technical work. The application examines a case related to “The Future of Aviation: Digitization, Artificial Intelligence, and Sustainability”.
2. Artificial Intelligence Applications and Controls
- Identify a task that AI can support, and separate inputs and human decisions from outputs produced by the tool.
- Prepare suitable test data and examples while respecting confidentiality, privacy, and permissions, and use de-identified training exercise data.
- Write clear instructions covering the task, context, constraints, and output format, and compare multiple formulations using a fixed set of examples.
- Check outputs for errors, bias, and unsupported information, and identify cases that require specialist review.
- Assess the feasibility of use in terms of quality, time, cost, and risk, and document controls for approval, monitoring, and stopping when failures occur.
3. Sustainability, Impact Assessment, and Resources
- Identify organizational activities, stakeholders, and environmental, social, and governance impacts related to the program subject and assessment boundaries.
- Collect data on resources, energy, waste, and relevant practices, documenting sources, gaps, and assumptions used.
- Prioritize topics according to impact scale, stakeholder importance, and applicable requirements, without making unsupported sustainability claims.
- Design initiatives covering responsibilities, resources, cost, and indicators, and compare the trade-offs and unintended effects of alternatives.
- Prepare a clear monitoring and disclosure plan distinguishing actual results from targets and defining the roles of review, verification, and data quality improvement.
4. Occupational Safety, Risk Assessment, and Prevention
- Identify task hazards, exposed people, and site conditions, gathering information from observations, records, and equipment instructions.
- Estimate the risk level and select appropriate controls from elimination, substitution, engineering controls, administrative controls, and personal protective equipment.
- Review work procedures, permits, isolation, communication, and supervision according to the task, and define responsibility for stopping unsafe work.
- Analyze an incident or near miss using facts and evidence, examining systemic causes and failed controls beyond blaming individuals.
- Prepare a tabletop emergency exercise and an inspection, awareness, and follow-up plan, assigning field execution to qualified personnel under approved procedures.
5. Maintenance Planning, Work Orders, and Execution Measurement
- Inventory assets and build a hierarchy, coding system, technical data, and maintenance history, classifying criticality by safety, service, and cost.
- Select a mix of preventive, condition-based, and corrective maintenance, connecting the decision to failure modes, data, and manufacturer instructions.
- Plan the work order's scope, resources, materials, time, isolation, and permits, and define readiness conditions before scheduling.
- Organize schedules, shutdowns, and equipment handovers between operations and maintenance, recording actual work, causes, parts, and time.
- Analyze backlog, recurrence, plan compliance, and reliability, and propose documented adjustments to maintenance tasks and their frequency.
Practical outputs
- An aviation process map, risk register, and indicator and follow-up plan.
- A use case brief and a test template for the quality of AI outputs.
- An impact topics matrix, initiative plan, and sustainability indicators.
- A task risk assessment and an inspection, training, and response plan.
- A maintenance plan, work schedule, work order card, and monitoring indicators.
Who should attend
- Engineers, technicians, supervisors and operations staff whose work relates to the programme subject.
- Managers and teams working in aviation, according to their practical responsibilities.
- Professionals responsible for applying the outputs of “The Future of Aviation: Digitization, Artificial Intelligence, and Sustainability” within their organizations.
Prerequisites
- Working familiarity with the programme field and the ability to discuss a professional case or challenge.
- Confirm the suitability of your experience and any specialist prerequisites with the Union before participation.
Conclusion
The programme “The Future of Aviation: Digitization, Artificial Intelligence, and Sustainability” brings together concepts, case review and a practical application. Participants prepare steps that can be adapted to their responsibilities and organizational resources, with an indicator to follow application and review results after returning to work.
Participation arrangements and any special requests are specified in the confirmation issued by the Union.