Certified Defense AI Program Manager (CDAIPM) Certification Program by Tonex
This certification program prepares defense acquisition, procurement, contracting officers and program managers to lead AI enabled programs across complex DoD and NATO environments. Participants learn how to translate operational requirements into executable AI capabilities while managing risk, cost and schedule in highly regulated defense ecosystems.
The program emphasizes trusted, explainable and governable AI so that decision makers can defend budgets and technical choices to oversight bodies and mission stakeholders. Cybersecurity is treated as a core mission enabler, ensuring AI systems are protected against data poisoning, model theft and adversarial manipulation throughout the lifecycle. By the end of the program, participants will be ready to oversee secure, interoperable and ethically governed defense AI portfolios that align with strategic national security objectives.
Learning Objectives
- Understand the role of AI in defense acquisition and program execution
- Interpret and apply DoD and NATO guidance for AI enabled capabilities
- Manage full AI lifecycle with alignment to AIMS and MLOps practices
- Integrate cybersecurity and assurance requirements into AI program planning
- Develop compliant SOW and PWS language for AI intensive contracts
- Govern testing, evaluation and fielding of safety critical AI solutions
- Establish oversight structures for responsible and trusted defense AI deployment
Audience
- Defense program managers and deputy program managers
- Acquisition and procurement professionals in defense organizations
- Contracting officers and contract specialists
- Systems and software engineering leads on AI projects
- Cybersecurity Professionals responsible for secure AI adoption
- Policy, governance and compliance officers in defense agencies
- Industry partners and integrators supporting defense AI programs
Program Modules
Module 1: Foundations of Defense AI Programs
- Defense mission needs and AI opportunity mapping
- Roles and responsibilities in AI program governance
- Distinctions between traditional and AI enabled systems
- Readiness levels for data, models and decision support
- Interoperability considerations across joint and coalition forces
- Mission risk framing for AI intensive capabilities
Module 2: DoD and NATO Acquisition Pathways
- Overview of major DoD AI acquisition pathways
- NATO AI related directives and interoperability expectations
- Requirements development for AI capabilities and services
- Budgeting, cost estimation and funding constructs for AI programs
- Documentation and milestone reviews for AI driven efforts
- Alignment with digital engineering and model based approaches
Module 3: AI Lifecycle AIMS and MLOps Practices
- AI lifecycle phases from data sourcing to retirement
- AIMS and related frameworks for managing AI capabilities
- MLOps pipelines for continuous integration and deployment
- Data governance, curation and labeling for defense missions
- Model versioning, traceability and performance baselining
- Embedding cybersecurity controls across AI lifecycle workflows
Module 4: Testing Validation and Secure AI Fielding
- Test and evaluation strategies for AI intensive systems
- Verification and validation of models and decision logic
- Robustness testing against adversarial and edge conditions
- Operational test, fielding readiness and acceptance criteria
- Continuous monitoring and feedback from the fielded environment
- Safety, reliability and cybersecurity considerations in test design
Module 5: Contracting SOW PWS and Risk Management
- Structuring SOW and PWS for AI development and sustainment
- Defining measurable deliverables for data, models and tooling
- Intellectual property and data rights for AI solutions
- Source selection criteria tailored for AI suppliers
- Vendor risk, third party models and supply chain oversight
- Contract language for performance, cybersecurity and compliance
Module 6: Governance Ethics Compliance and Oversight
- Policy frameworks for responsible defense AI governance
- Ethical considerations in mission critical AI decision support
- Bias, transparency and explainability expectations in defense contexts
- Compliance with security, privacy and export control requirements
- Governance boards, risk registers and escalation pathways
- Integrating cybersecurity oversight into AI program governance
Exam Domains
- Strategic Defense AI Program Leadership
- Defense AI Acquisition Policies and Standards
- Operational AI Lifecycle and Sustainment
- Test Evaluation and Readiness Certification
- Secure AI Contracting and Risk Governance
- Ethical AI Oversight and Cybersecurity Assurance
Course Delivery
The course is delivered through structured lectures, guided discussions and case based group exercises led by experts in defense acquisition and AI program management. Participants engage with real world defense scenarios, templates and checklists that can be adapted to their own organizations. Online resources include readings, curated frameworks, sample SOW and PWS excerpts and planning tools that reinforce practical application to active or planned AI programs.
Assessment and Certification
Participants are assessed through quizzes, structured assignments and an integrated capstone scenario that requires them to design and defend a defense AI program plan. Upon successful completion of the course and final assessment, participants receive the Certified Defense AI Program Manager CDAIPM Certification from Tonex, demonstrating validated competence to lead secure and compliant defense AI initiatives.
Question Types
- Multiple Choice Questions MCQs
- Scenario based Questions
Passing Criteria
To pass the Certified Defense AI Program Manager CDAIPM Certification Program exam, candidates must achieve a score of 70 percent or higher.
Elevate your role from project participant to trusted defense AI decision maker. Enroll in the Certified Defense AI Program Manager CDAIPM Certification Program by Tonex and build the strategic, technical and cybersecurity aware expertise needed to lead mission critical AI programs with confidence.