Aligned to the DoD Cyber Workforce Framework (DCWF) work roles of AI Innovation Leader (902) and AI Adoption Specialist (753), this certification validates the knowledge, skills, and abilities required to define AI vision and policy, establish governance and oversight, and drive responsible, scalable adoption across cyber, intelligence, and broader mission operations.
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This exam is currently in the Beta phase, meaning that a final passing score (cut score) has not yet been established. Examinees may take the exam as normal and will receive their final scores once the cut score is established in the coming weeks. Scores will be applied retroactively, and examinees who meet or exceed the established passing score will be awarded the certification based on their original exam attempt. A retake will not be required.
Scope Statement:
The AI Transformation Leader certification validates knowledge, skills, and abilities spanning both the DCWF AI Innovation Leader (902) and AI Adoption Specialist (753) work roles, ensuring graduates can define AI vision and policy and drive successful adoption across cyber and intelligence mission. Candidates will exhibit the ability to strategically lead, govern and operationalize AI initiatives that deliver measurable mission and enterprise value. Candidates will demonstrate proficiency in applying frameworks, governance models, and decision-making tools to oversee responsible AI adoption while balancing innovation, risk, and compliance across complex technical and organizational environments. In addition, candidates will exhibit the ability to design AI strategies, implement governance structures, align investments, and manage multidisciplinary teams to ensure sustainable, ethical, and impactful AI outcomes.
The certification course focuses on:
AI Strategy & Governance
Guides candidates in developing and governing mission-aligned AI adoption strategies.
Risk, Ethics, & Regulations
Prepares leaders to interpret and apply applicable AI regulations, policies, and ethical standardswhile conducting risk management
Management Planning
Prepares leaders to plan and align the organizational resources, capabilities, and structures required to sustain AI initiatives.
Metrics & Evaluation
Focuses on defining and monitoring metrics that capture AI program impact, quality, efficiency, and oversight. Leads continuous assessment and improvements of AI programs.
Engagement, Advocacy & Education
Coordinates and advises senior leadership and internal / external partners to advance AI objectives. Promotes AI literacy across audiences.
Certified candidates will:
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Align AI adoption with mission priorities and strategic objectives.
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Establish governance and risk oversight structures that institutionalize responsible AI principles and ethical compliance.
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Guide the development of policies, funding strategies, and acquisition models that ensure sustainable and accountable AI operations.
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Shape workforce strategies and capability frameworks that enable scalable and mission-aligned AI innovation.
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Define performance criteria and executive reporting mechanisms to monitor AI value, effectiveness and trustworthiness.
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Provide executive oversight of AI operations, ensuring alignment with organizational risk tolerance, security standards and ethical frameworks.
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Advise and influence senior decision-makers through evidence-based recommendations that balance innovation, risk and policy obligations.
