Length: 2 Days
Print Friendly, PDF & Email

Certified Autonomous ISR & Targeting Systems Engineer (CAITSE) Certification Program by Tonex

AIML for Tactical Data Links (TDLs) Including Predictive Analytics, EW Support, and Track Fusion Fundamentals Training by Tonex

The CAITSE program develops expert practitioners in AI-driven autonomy for targeting, collection, and ISR mission management. Participants master autonomous sensing, multi-agent coordination, pattern-of-life analytics, and decision support for time-critical operations. The program emphasizes dependable autonomy, human-on-the-loop control, and standards-aligned implementation across contested domains.

Cybersecurity is addressed as a mission enabler and a resilience imperative, hardening AI pipelines, data links, and decision nodes. Cybersecurity considerations cover model supply chains, threat-informed architectures, and zero-trust communications for ISR networks. Cybersecurity assurance practices ensure verifiable, auditable, and compliant autonomy at scale.

Learning Objectives

  • Design autonomous sensing and prioritization strategies for dynamic ISR tasks
  • Orchestrate swarm ISR behaviors and multi-agent cooperation under constraints
  • Build pattern-of-life detection pipelines with explainable AI and robust data curation
  • Engineer autonomous C2 policies with human judgment safeguards and fail-safe overrides
  • Apply ethics, compliance, and test-and-evaluation frameworks to fieldable autonomy
  • Optimize mission management with performance metrics, drift monitoring, and feedback loops
  • Strengthen end-to-end cybersecurity for models, data, and communications

Audience

  • ISR engineers and architects
  • AI and autonomy developers
  • Systems and software engineers
  • Defense automation experts
  • Program managers and T&E professionals
  • Cybersecurity Professionals
  • Data scientists and analysts

Course Modules

Module 1: Autonomous Sensing

  • Mission-driven sensor tasking
  • Priority queues and utility models
  • Adaptive collection policies
  • Edge inference constraints
  • Fusion of multi-INT streams
  • Robustness to degraded inputs

Module 2: Multi-Agent Swarms

  • Swarm roles and behaviors
  • Distributed consensus patterns
  • Contested spectrum operations
  • Deconfliction and safety rules
  • Resilient comms topologies
  • Heterogeneous fleet coordination

Module 3: POL Analytics

  • Spatiotemporal feature engineering
  • Anomaly and routine modeling
  • Graph and trajectory analytics
  • Label-scarce learning methods
  • Explainability and analyst trust
  • Validation with ground truth

Module 4: Autonomous C2

  • Policy learning and guards
  • Human-on-the-loop design
  • Goal allocation at scale
  • Time-critical decision aides
  • Fail-safe and fallback modes
  • Mission rehearsal frameworks

Module 5: Ethical Compliance

  • Legal and policy baselines
  • Responsible AI principles
  • Bias, harm, and misuse controls
  • Assurance and audit trails
  • Data rights and provenance
  • T&E for trustworthy autonomy

Module 6: Mission Integration

  • Architecture and interfaces
  • DevSecOps for models
  • Telemetry and observability
  • Performance and drift metrics
  • Resilience and recovery playbooks
  • Fielding and sustainment paths

Exam Domains

  • Autonomy Fundamentals
  • ISR Operations Planning
  • AI Analytics Methods
  • Decision Support Systems
  • Governance and Risk
  • Deployment and Sustainment

Course Delivery
The course is delivered through a combination of lectures, interactive discussions, workshops, and project-based learning, facilitated by experts in the field of Certified Autonomous ISR & Targeting Systems Engineer. 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 Autonomous ISR & Targeting Systems Engineer.

Question Types

  • Multiple Choice Questions (MCQs)
  • Scenario-based Questions

Passing Criteria
To pass the Certified Autonomous ISR & Targeting Systems Engineer Certification Training exam, candidates must achieve a score of 70% or higher.

Enroll now to secure mission advantage with trustworthy autonomy in ISR and targeting and earn your CAITSE credential with Tonex.

Request More Information