Length: 2 Days

Certified AI Tactical Testing & Evaluation Professional (CAITTEP) Certification Program by Tonex

Tactical artificial intelligence capabilities must be evaluated against realistic mission requirements rather than impressive demonstrations alone. The Certified AI Tactical Testing & Evaluation Professional program prepares defense specialists to develop defensible evaluation plans for decision-support functions, operational data products, and AI-enabled services.

Participants examine test objectives, representative operating conditions, data traceability, acceptance thresholds, measurement reliability, and the separation of development findings from independent evaluation. The program distinguishes operational effectiveness, suitability, and survivability while emphasizing the evidence necessary to support acquisition, fielding, and corrective-action decisions. It also explores failure characterization, human factors, reproducibility, and transparent reporting of unresolved limitations.

Cybersecurity affects tactical evaluation whenever adversarial inputs, unauthorized changes, degraded communications, or compromised evidence alter observed performance. A defensible cybersecurity review therefore examines data integrity, access control, protected test records, and resilience under authorized adverse conditions. Participants learn to report these weaknesses without conflating a security finding with an unsupported claim about mission performance.

A practical training approach includes exercises, real-world case studies, and examples of processes and documentation used in defense testing and evaluation projects.

Learning Objectives

  • Convert operational capability claims into measurable test objectives and acceptance criteria.
  • Design evaluation evidence plans aligned with mission conditions and responsible authorities.
  • Differentiate effectiveness, suitability, resilience, and evidence sufficiency measures.
  • Assess performance variability, human oversight, and documented failure conditions.
  • Produce independent evaluation findings and corrective-action recommendations.
  • Integrate cybersecurity testing considerations into evidence integrity and survivability assessments.

Audience

  • Defense Test and Evaluation Professionals
  • Tactical Systems Assessment Specialists
  • Operational Requirements Analysts
  • Cybersecurity Professionals
  • Defense Acquisition and Program Personnel
  • Artificial Intelligence Assurance Specialists
  • Mission Engineering and Reliability Teams

Program Modules

Module 1: Tactical Capability Requirements and Evaluation Boundaries

  • Define operational claims requiring independent substantiation.
  • Translate mission needs into observable performance criteria.
  • Identify intended users and decision authority boundaries.
  • Specify representative environments and realistic operational constraints.
  • Define threshold and objective performance measures.
  • Document permitted data access and evaluation exclusions.
  • Differentiate developmental evidence from operational evaluation findings.

Module 2: Evaluation Planning and Traceable Evidence Design

  • Develop test objectives linked to capability requirements.
  • Construct requirement-to-evidence traceability matrices.
  • Identify independent and reference comparison methods.
  • Plan observations across relevant environmental conditions.
  • Specify collection quality and timing requirements.
  • Document review authority and controlled evidence custody.
  • Record assumptions affecting interpretability and evaluation confidence.

Module 3: Artificial Intelligence Performance and Reliability Assessment

  • Select sensitivity and specificity measures for operational alerts.
  • Compare model behavior across representative data conditions.
  • Measure repeatability and consistency of reported outcomes.
  • Examine false alarm burden on operational personnel.
  • Assess human review effectiveness and procedural workload.
  • Identify degradation due to changing input characteristics.
  • Separate statistically significant findings from mission significance.

Module 4: Adverse Conditions Security and Resilience Review

  • Assess exposure to corrupted or incomplete input data.
  • Review unauthorized configuration change detection controls.
  • Examine identity and privilege protections for test environments.
  • Determine evidence integrity checks before result acceptance.
  • Evaluate documented recovery behavior after service interruptions.
  • Characterize cybersecurity findings without unsupported exploit assumptions.
  • Coordinate security assessments with appropriate mission safety authorities.

Module 5: Independent Findings and Corrective Action Reporting

  • Document observed deficiencies with supporting evidence citations.
  • Separate confirmed results from analytical judgment and inference.
  • Prioritize deficiencies against operational acceptance criteria.
  • Describe practical constraints and residual performance uncertainty.
  • Map corrective actions to accountable organizational owners.
  • Review management responses without compromising assessment independence.
  • Prepare decision briefs for acquisition and fielding authorities.

Module 6: Lifecycle Reassessment and Evaluation Governance Procedures

  • Define change triggers requiring renewed evaluation attention.
  • Compare new versions against approved performance baselines.
  • Retain configuration history and audit-relevant test records.
  • Set independent review milestones for consequential changes.
  • Establish acceptance criteria for corrected deficiencies.
  • Link cyber resilience reviews to release governance decisions.
  • Specify operational monitoring and reassessment responsibilities.

Exam Domains

  1. Test Claim Validity
  2. Evidence Adequacy and Traceability
  3. Operational Performance Interpretation
  4. Adverse Condition Readiness
  5. Independent Findings and Corrective Actions
  6. Fielding Decision Support

Course Delivery

The course is delivered through expert-led lectures, interactive discussions, hands-on workshops, and project-based learning focused on tactical capability testing and evaluation. Participants have access to online resources, including professional readings, case studies, and tools for practical exercises, alongside examples of project processes and documentation.

Assessment and Certification

Participants are assessed through quizzes, assignments, a capstone project, and a certification examination. Upon successfully meeting the program requirements, participants receive a Tonex certificate for the Certified AI Tactical Testing & Evaluation Professional (CAITTEP) certification program.

Question Types

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

Passing Criteria

To pass the Certified AI Tactical Testing & Evaluation Professional (CAITTEP) Certification Training exam, candidates must achieve a score of 70% or higher.

Certified AI Tactical Testing & Evaluation Professional (CAITTEP) Certification Program by Tonex equips professionals for demanding defense responsibilities. Build the judgment needed to evaluate tactical artificial intelligence performance through independent evidence. Enroll to advance mission-focused testing expertise.

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