A tailored course, built for your situation
AI Integration Leadership for K-12 Systems
A 12-module system to design, govern, and scale AI adoption in educational institutions with confidence and compliance
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Even skilled educators and consultants struggle to translate AI enthusiasm into structured, ethical, and sustainable implementation across schools.
The situation this course is for
AI tools are being adopted rapidly in classrooms, but without coherent strategy, oversight, or staff readiness. Leaders face pressure to act while navigating data privacy, equity, curriculum alignment, and staff resistance. Most existing resources offer either technical tutorials or abstract policy, missing the practical bridge between vision and execution. This gap leads to fragmented pilots, compliance risks, and lost momentum. Without a structured approach, even well-intentioned initiatives fail to scale or deliver consistent value.
Who this is for
Dr. Patrick Fogarty - AI in Education Consultant with expertise in K-12 technology leadership, professional development, and AI/ML integration. He advises schools and districts, authors content, and supports systemic change.
Who this is not for
This course is not for software developers building AI models, IT technicians managing infrastructure, or vendors selling AI tools. It’s for strategic leaders guiding adoption, not technical deployment.
What you walk away with
- Design AI implementation roadmaps aligned to district goals and student outcomes
- Develop governance frameworks that ensure ethical use, equity, and compliance
- Lead change management and professional development for sustainable adoption
- Evaluate AI tools with a structured, evidence-based rubric
- Communicate confidently with stakeholders, from teachers to superintendents to parents
The 12 modules (with all 144 chapters)
Module 1. Foundations of AI in K-12 Education
Establish a shared understanding of AI, machine learning, and generative models in the context of K-12. Clarify misconceptions, define key capabilities, and identify high-impact use cases aligned with learning outcomes.
12 chapters in this module
- What AI really means for educators
- Distinguishing AI, ML, and automation
- Core capabilities of generative AI
- Common myths in school settings
- Use cases with real impact
- Limitations and boundaries
- Student-facing vs. admin tools
- AI literacy for leadership teams
- Historical context of edtech waves
- Current momentum drivers
- Policy landscape overview
- Defining success early
Module 2. Strategic Alignment and Vision Setting
Learn how to connect AI initiatives to district mission, strategic plans, and instructional goals. Build compelling visions that engage stakeholders and avoid tech-first pitfalls.
12 chapters in this module
- Linking AI to district priorities
- Vision statement crafting
- Stakeholder alignment mapping
- Avoiding solution-first thinking
- Balancing innovation and stability
- Creating guiding principles
- Short-term wins vs long-term change
- Benchmarking peer districts
- Defining measurable outcomes
- Equity as a design requirement
- Engaging instructional leadership
- Communicating the 'why'
Module 3. Governance and Ethical Frameworks
Build governance models that ensure responsible AI use. Cover ethics, bias detection, transparency, and accountability structures tailored to educational environments.
12 chapters in this module
- Core ethical principles for AI
- Bias identification in tools
- Transparency with stakeholders
- Accountability frameworks
- Student data rights
- Consent and notification protocols
- Audit readiness
- Equity impact assessments
- Vendor ethics evaluation
- AI use policy drafting
- Oversight committee design
- Incident response planning
Module 4. Data Privacy and Compliance
Navigate FERPA, COPPA, state laws, and emerging regulations. Implement safeguards that protect student data while enabling innovation.
12 chapters in this module
- FERPA and AI tools
- COPPA compliance essentials
- Student data classification
- Vendor data agreements
- On-premise vs cloud risks
- Anonymization techniques
- Parental notification standards
- Third-party tool vetting
- Data minimization principles
- Breach preparedness
- State-level privacy laws
- Compliance documentation
Module 5. Change Management for Educators
Lead staff through adoption with proven change models. Address resistance, build confidence, and foster a culture of experimentation and learning.
12 chapters in this module
- Stages of teacher adoption
- Overcoming AI skepticism
- Building internal champions
- Pilot program design
- Feedback loop systems
- Celebrating early successes
- Managing workload concerns
- Professional learning communities
- Coaching models for AI use
- Time allocation strategies
- Sustaining momentum
- Scaling beyond early adopters
Module 6. Professional Development Design
Create high-impact training programs that equip educators with practical AI skills. Move beyond awareness to application in lesson planning, assessment, and differentiation.
12 chapters in this module
- Needs assessment for staff
- Tiered training pathways
- Hands-on workshop design
- Microlearning for busy teachers
- AI in lesson planning
- Assistive AI for IEPs
- Differentiation strategies
- Assessment design with AI
- Feedback automation ethics
- Time-saving workflows
- Peer mentoring structures
- Evaluating PD effectiveness
Module 7. Curriculum Integration Models
Embed AI across subjects and grade levels. Develop interdisciplinary projects, critical thinking exercises, and student-facing applications that deepen learning.
12 chapters in this module
- AI across subject areas
- Project-based learning ideas
- Teaching critical AI literacy
- Student data projects
- Creative applications in arts
- AI in math and science
- Ethics debates and forums
- Writing with AI tools
- Research skill development
- Digital citizenship expansion
- Age-appropriate scaffolding
- Assessment of student AI use
Module 8. Tool Evaluation and Selection
Apply a structured rubric to assess AI tools for pedagogical value, safety, cost, and integration. Avoid vendor hype and make evidence-based decisions.
12 chapters in this module
- Defining evaluation criteria
- Pedagogical effectiveness
- Ease of integration
- Support and training quality
- Cost-benefit analysis
- Interoperability with LMS
- Accessibility standards
- Bias and fairness testing
- Trial period design
- Feedback from pilot users
- Long-term sustainability
- Exit strategy planning
Module 9. Implementation Playbook Development
Assemble a custom implementation playbook with templates, checklists, timelines, and communication plans. Adapt for district size, resources, and readiness.
12 chapters in this module
- Phased rollout planning
- Timeline and milestones
- Resource allocation models
- Communication calendar
- Stakeholder messaging
- Training schedule templates
- Pilot evaluation forms
- Risk mitigation plans
- Budgeting for AI tools
- Staff time considerations
- Vendor negotiation checklist
- Success metrics dashboard
Module 10. Scaling and Systemic Change
Transition from pilots to district-wide adoption. Build capacity, refine processes, and institutionalize AI integration as a core function of educational leadership.
12 chapters in this module
- From pilot to scale
- Building internal expertise
- Centralized vs decentralized models
- Budget integration
- Policy institutionalization
- Ongoing evaluation cycles
- Cross-school collaboration
- Leadership pipeline development
- Board and community reporting
- Continuous improvement loops
- External partnership models
- Sustainability planning
Module 11. Stakeholder Communication Strategy
Craft clear, honest messaging for teachers, parents, students, and administrators. Address concerns, build trust, and maintain transparency throughout the journey.
12 chapters in this module
- Parent communication templates
- Student-facing explanations
- Teacher FAQs
- Board presentation outlines
- Media inquiry readiness
- Social media guidelines
- Transparency reports
- Town hall planning
- Addressing equity concerns
- Celebrating student work
- Managing misinformation
- Feedback collection systems
Module 12. Future-Proofing and Innovation Leadership
Stay ahead of emerging trends, anticipate next-generation tools, and position yourself as a thought leader in AI and education. Contribute to the broader field.
12 chapters in this module
- Tracking emerging AI trends
- Research partnership opportunities
- Conference engagement
- Publishing case studies
- Mentoring emerging leaders
- Policy advisory roles
- Grant writing for innovation
- Building a professional brand
- Speaking and workshop leadership
- Collaborative networks
- Long-term vision updates
- Innovation mindset cultivation
How this maps to your situation
- You're advising schools on AI but lack a repeatable framework
- You're leading PD but need deeper strategic tools
- You're building policy but want proven models
- You're scaling pilots but hitting resistance
Before vs. after
Before
AI initiatives feel reactive, fragmented, and hard to scale, dependent on individual champions and lacking systemic support.
After
You lead with a clear, ethical, and structured approach, delivering sustainable AI integration that aligns to mission, engages stakeholders, and improves outcomes.
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3-4 hours per module, designed for flexible, self-paced learning around professional commitments.
If nothing changes
Without a structured approach, AI adoption will remain uneven, increasing compliance risk, widening equity gaps, and undermining trust in leadership.
How this compares to the alternatives
Generic AI courses focus on coding or theory. Vendor training promotes specific tools. This course is the only one focused on strategic leadership, governance, and systemic change in K-12, built for consultants and leaders, not developers or sales teams.
Frequently asked
Is this course technical?
No. It’s designed for leaders, not engineers. Focus is on strategy, governance, and implementation, not coding or data science.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will I get personalized support?
The course includes a hand-built implementation playbook tailored to your context, delivered at access.
$199 one-time. Approximately 3-4 hours per module, designed for flexible, self-paced learning around professional commitments..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours