IntelliCademy AI Transformation Leader
AI Transformation Leader is an advanced four-day course and certification for senior leaders, program managers, transformation officers and decision-makers responsible for guiding AI adoption across complex mission and enterprise environments. Aligned to the DoD Cyber Workforce Framework roles of AI Innovation Leader (902) and AI Adoption Specialist (753), it validates the ability to define AI vision and policy, establish governance and oversight, and drive responsible, scalable adoption.
Course Overview
- 32 hours of instruction across four days, delivered by IntelliGenesis instructors.
- Aligned to DCWF work roles AI Innovation Leader (902) and AI Adoption Specialist (753).
- Progresses from strategic foundations to applied governance and operational planning.
- Discussion-based learning, scenario analysis, planning exercises and decision-making activities.
Who Should Attend
- Senior leaders and executives responsible for modernisation and transformation.
- Program and project managers overseeing AI-enabled initiatives.
- Innovation leaders and digital transformation personnel.
- Policy, strategy and governance professionals.
- Operational leaders integrating AI into mission environments.
- Change agents and decision-makers shaping enterprise AI adoption.
Prerequisites
- Experience in leadership, management, program oversight, innovation, policy, operations or transformation-related roles.
- Familiarity with organisational decision making, strategic planning or enterprise initiatives.
- Basic understanding of emerging AI capabilities and their potential application.
- Ability to engage with policy, governance, risk and performance discussions at an organisational level.
- A laptop or device capable of accessing course materials and completing practical exercises.
What You'll Learn
Develop AI strategy and governance — create mission-aligned AI strategies, and design governance structures, oversight mechanisms and decision frameworks for responsible, sustainable adoption.
Manage risk, ethics and regulatory alignment — interpret and apply AI policies, regulations and ethical principles, and evaluate AI risk across security, privacy, bias, trustworthiness and operational use.
Plan for sustainable AI adoption — align resources, workforce capabilities, structures and investment, accounting for acquisition, funding, implementation and organisational change management.
Measure AI performance and mission impact — define success metrics and reporting that capture value, quality, efficiency and effectiveness, and lead continuous assessment.
Engage stakeholders and influence decision makers — advise senior leaders on opportunities, tradeoffs and risks, and promote AI literacy across stakeholder groups.
Oversee responsible AI operations — provide executive oversight aligned to risk tolerance, ethical frameworks and security standards, balancing innovation with control.
Apply core AI/ML concepts — explain fundamentals across the AI/ML lifecycle, select appropriate approaches, and oversee evaluation, deployment and monitoring.
Next Steps
Pairs with the IntelliCademy AI/ML Specialist bootcamp for the technical practitioner track.
Related training topics
Justify your training
Use this sample request letter — copy it into an email to your manager and personalize the bracketed details to make the case for the time and budget.
Sample training request letter
Subject: Request for AI & AI Security training from Applied Technology Academy
[Decision Maker Name],
I'm writing to request time and budget approval to complete Applied Technology Academy's course, IntelliCademy AI Transformation Leader. The information below outlines how this training benefits our organization, the tasks I'll be able to perform after completing it, and relevant cost and funding details.
Course Description
AI Transformation Leader is an advanced four-day course and certification for senior leaders, program managers, transformation officers and decision-makers responsible for guiding AI adoption across complex mission and enterprise environments. Aligned to the DoD Cyber Workforce Framework roles of AI Innovation Leader (902) and AI Adoption Specialist (753), it validates the ability to define AI vision and policy, establish governance and oversight, and drive responsible, scalable adoption. Applied Technology Academy is an award-winning, SBA-certified woman-owned training provider (est. 2008) whose instructors are active practitioners. The course combines instructor-led training with practical exercises, real-world examples, and computer-based activities designed to reinforce job-relevant skills.
Course Objectives
Once I've completed the course, I'll be able to:
- Develop AI strategy and governance — create mission-aligned AI strategies, and design governance structures, oversight mechanisms and decision frameworks for responsible, sustainable adoption.
- Manage risk, ethics and regulatory alignment — interpret and apply AI policies, regulations and ethical principles, and evaluate AI risk across security, privacy, bias, trustworthiness and operational use.
- Plan for sustainable AI adoption — align resources, workforce capabilities, structures and investment, accounting for acquisition, funding, implementation and organisational change management.
- Measure AI performance and mission impact — define success metrics and reporting that capture value, quality, efficiency and effectiveness, and lead continuous assessment.
- Engage stakeholders and influence decision makers — advise senior leaders on opportunities, tradeoffs and risks, and promote AI literacy across stakeholder groups.
- Oversee responsible AI operations — provide executive oversight aligned to risk tolerance, ethical frameworks and security standards, balancing innovation with control.
- Apply core AI/ML concepts — explain fundamentals across the AI/ML lifecycle, select appropriate approaches, and oversee evaluation, deployment and monitoring.
Expected Organizational Benefits
After completing this course, I will be better equipped to apply these skills directly to our projects, reduce our reliance on outside expertise, strengthen our team's capabilities, and share what I learn with colleagues.
Expected Cost & Funding
Course fee: [request an itemized quote at the link below]. Applied Technology Academy supports multiple funding paths that may reduce or cover this cost: GSA MAS purchasing and government purchase orders, military credentialing funding (Army CA, AF COOL, CG COOL), VA GI Bill and VR&E, ATA Flexible Spending, and student financing. Private team cohorts are available if colleagues should attend with me.
Conclusion
This training provides practical, hands-on experience I can apply immediately to strengthen our work in ai & ai security. Additional course information is available at https://appliedtechnologyacademy.com/intelligenesis-training/intellicademy-ai-transformation-leader/.
Thank you for your consideration,
[Your Name]
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