Certified AI-Enabled Fire Management Professional (CAIFMP) Certification Program by Tonex
This intensive two-day program equips fire officers, planners, and technical leaders to harness AI for predictive fire management, dynamic planning, and real-time incident decisions. Participants learn how to transform RMS, CAD, IoT, and GIS data into actionable intelligence, align models with operational doctrine, and build explainable workflows that command trust in the field.
The program emphasizes secure data pipelines, model governance, and resilience under degraded conditions. Cybersecurity is woven throughout to protect telemetry, dispatch systems, and decision tools against tampering and data leakage. By the end, attendees can evaluate risks, architect AI-enabled response frameworks, and lead change that elevates safety, speed, and accountability across their organizations.
Learning Objectives
- Understand core AI methods applied to wildland and structural fire operations
- Translate risk models into dispatch and resource allocation strategies
- Integrate RMS, CAD, IoT, and GIS feeds into unified decision workflows
- Apply MLOps practices for model versioning, validation, and monitoring
- Align AI recommendations with policy, ethics, and community trust
- Lead organizational adoption and change management at scale
- Strengthen cybersecurity of data, models, and tools across the response lifecycle
Audience
- Fire Officers and Incident Commanders
- Emergency Planners and Dispatch Supervisors
- GIS and Data Analysts
- Public Safety IT Managers
- City and County Resilience Leaders
- Cybersecurity Professionals
- Technology Vendors and System Integrators
Program Modules
Module 1: AI Foundations
- Operational AI concepts
- Supervised vs unsupervised
- Time series basics
- Geospatial fundamentals
- Model explainability
- Reliability in operations
Module 2: Risk Modeling
- Fire spread modeling
- Weather fusion methods
- Fuel load analytics
- Ignition probability
- Scenario ensembles
- Uncertainty reporting
Module 3: Dispatch Automation
- Demand forecasting
- Unit recommendation
- Route and staging
- Coverage balancing
- Surge planning playbooks
- Human in the loop
Module 4: Data Integration
- RMS and CAD mapping
- IoT telemetry ingestion
- GIS tiling and layers
- Data quality checks
- Streaming architectures
- API and interoperability
Module 5: Ethics Governance
- Bias and equity
- Transparency standards
- Decision accountability
- Records retention
- Procurement safeguards
- Community engagement
Module 6: Response Frameworks
- Tactics decision trees
- Threshold alerting
- Red team exercises
- Continuity planning
- After action metrics
- Roadmap and rollout
Exam Domains
- Algorithmic Literacy for Public Safety
- Spatiotemporal Risk Science
- Autonomous Operations Oversight
- Data Assurance and Chain of Custody
- Public Safety AI Governance
- Resilience and Continuity Engineering
Course Delivery
The course is delivered through a combination of lectures, interactive discussions, hands-on workshops, and project-based learning, facilitated by experts in the field of Certified AI-Enabled Fire Management Professional. Participants will have access to online resources, including readings, case studies, and tools for practical exercises.
Assessment and Certification
Participants will be assessed through quizzes, assignments, and a capstone project. Upon successful completion of the course, participants will receive a certificate in Certified AI-Enabled Fire Management Professional.
Question Types
- Multiple Choice Questions (MCQs)
- Scenario-based Questions
Passing Criteria
To pass the Certified AI-Enabled Fire Management Professional Certification Training exam, candidates must achieve a score of 70% or higher.
Ready to modernize fire operations with trustworthy AI Start your CAIFMP journey with Tonex and lead your department’s transformation today.