Certified AI-Driven Command & Control Specialist (CAIDC2S) Certification Program by Tonex
The CAIDC2S Certification Program equips defense and enterprise leaders to apply artificial intelligence across Joint All-Domain Command and Control decision-making and targeting. Participants learn how to integrate CJADC2 architecture patterns, synchronize multi-domain data, and accelerate OODA loops with trustworthy AI. Robust governance, MLOps discipline, and mission-ready analytics translate models into operational effects at the edge and in contested environments.
Cybersecurity is addressed as a mission enabler that protects data pipelines, model integrity, and decision services against advanced threats. Cybersecurity guidance includes zero-trust C2 patterns, secure data sharing, and resilient adversary-in-the-loop defenses. Cybersecurity outcomes emphasize detection, hardening, and rapid recovery to preserve decision advantage when networks are jammed or attacked.
Learning Objectives
- Explain CJADC2 principles and reference architectures for interoperable C2
- Design multi-domain data fusion pipelines that align to mission threads
- Apply AI and analytics to compress the sensor-to-shooter timeline ethically and safely
- Engineer resilience for degraded, denied, and intermittent communications
- Map targeting workflows to data, models, and decision services for traceable effects
- Implement governance, evaluation, and human-on-the-loop controls for AI assurance
- Strengthen cybersecurity for data, models, and C2 endpoints to reduce mission risk
Intended Audience
- Command and Control operators and battle managers
- JADC2 and CJADC2 program managers
- Intelligence analysts and targeting officers
- Data scientists and ML engineers
- Systems and network architects
- Cybersecurity Professionals
- Acquisition and policy stakeholders
Course Modules
Module 1: CJADC2 Foundations
- JADC2 to CJADC2 evolution
- Mission threads and effects
- Reference architectures overview
- Interoperability and standards
- Human-machine teaming roles
- Governance and ethics anchors
Module 2: Data Fusion Basics
- Sensor and platform taxonomies
- Data models and ontologies
- Streaming and event buses
- Metadata, lineage, quality
- Cross-domain data sharing
- Feature stores and catalogs
Module 3: Decision Acceleration
- OODA compression patterns
- Decision services and APIs
- Model selection and ensembles
- Real-time inference at edge
- Human-on-the-loop tactics
- Metrics for decision latency
Module 4: Targeting Analytics
- Find-Fix-Finish framework
- Entity resolution methods
- Confidence scoring and PID
- Collateral estimation basics
- Effects assessment feedback
- Auditability and traceability
Module 5: Resilient C2 Ops
- DIL comms and store-forward
- Mesh and opportunistic links
- Degradation-tolerant UX
- Failover and graceful modes
- Zero-trust access patterns
- Adversary deception sensing
Module 6: Cybersecure AI C2
- Threat models for AI/ML
- Model poisoning defenses
- Securing pipelines and APIs
- Keys, secrets, and HSM use
- Continuous monitoring SIEM
- Incident response playbooks
Exam Domains
- Joint Doctrine and Policy Alignment
- Architecture and Interoperability Design
- Data Engineering and Fusion Practices
- AI Governance and Decision Assurance
- Resilient Communications and Edge Ops
- Targeting and Effects Evaluation
Course Delivery
The course is delivered through a combination of lectures, interactive discussions, case-driven workshops, and project-based learning, facilitated by experts in the field of Certified AI-Driven Command & Control Specialist CAIDC2S. 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-Driven Command & Control Specialist CAIDC2S.
Question Types
- Multiple Choice Questions MCQs
- Scenario-based Questions
Passing Criteria
To pass the Certified AI-Driven Command & Control Specialist CAIDC2S Certification Training exam, candidates must achieve a score of 70% or higher.
Secure your seat to lead AI-enabled command and control. Enroll in CAIDC2S by Tonex and turn decision advantage into operational advantage.