Master AI Dental Practice Certification · Level 1
Build a responsible AI foundation for patient communication, scheduling, front-office work, treatment-coordination support, administrative documentation, revenue cycle, marketing, security, technology, governance, and dental-practice leadership.
Six-level pathway
Levels are completed in order. Each has its own modules, knowledge checks, final examination, and certificate; Levels 3 to 5 add a reviewed capstone and Level 6 a teach-back assignment.
Level 1 · Foundations
30 hours · 15 modules · Open for enrollment
Level 2 · Certified Professional
12 hours · 5 modules · Open for enrollment
Level 3 · Advanced Operations
13 hours · 5 modules · Open for enrollment
Level 4 · Master Certification
16 hours · 5 modules · Open for enrollment
Level 5 · Automation Specialist
14 hours · 5 modules · Open for enrollment
Level 6 · Certified Instructor
13 hours · 5 modules · Open for enrollment
Course outline
Each module connects practical administrative AI capability to patient privacy, minimum-necessary access, licensed review, clinical boundaries, source verification, cybersecurity, auditability, escalation, and accountable decisions.
Module 01
3 lessonsUnderstand machine learning, generative and multimodal AI, language and reasoning models, voice systems, computer-vision concepts, agents, automation, hallucinations, and the limits that require licensed human review in dental settings.
Module 02
3 lessonsMap the patient journey across scheduling, registration, front-desk work, treatment coordination, documentation concepts, insurance coordination, billing, collections, recall systems, revenue cycle, metrics, and practice management.
Module 03
3 lessonsApply patient privacy, confidentiality, minimum-necessary access, governance, human oversight, bias controls, transparency, audit trails, retention, vendor risk, cybersecurity, and professional accountability to administrative AI use.
Module 04
3 lessonsBuild reusable, verified prompts for scheduling, communication, administrative documents, treatment-presentation support, approved marketing, policies, training, knowledge bases, and automation while excluding diagnosis and treatment recommendations.
Module 05
3 lessonsImprove appointment communication, approved patient education, treatment follow-up, recall campaigns, telephone scripts, voice workflows, portal messages, email and SMS templates, satisfaction, accessibility, and clear staff escalation.
Module 06
3 lessonsSupport online scheduling, chair utilization, provider calendars, cancellations, wait lists, digital forms, registration, insurance-verification workflows, eligibility concepts, queues, check-in, and operational dashboards with staff-controlled exceptions.
Module 07
3 lessonsCreate reviewed treatment-presentation support, financial-discussion templates, approved education materials, consent-workflow documentation, meeting notes, internal knowledge, policies, training guides, OCR processes, and voice-dictation concepts without making clinical decisions.
Module 08
3 lessonsImprove insurance coordination, claim-status workflows, payment plans, patient statements, collections communication, denial tracking, authorization concepts, financial reporting, and dashboards without fabricating CDT guidance, payer rules, approvals, or reimbursement outcomes.
Module 09
3 lessonsUse workflow analysis, operational measures, patient-experience feedback, standard procedures, continuous improvement, benchmarking, performance dashboards, business intelligence, and executive reporting with documented assumptions and responsible owners.
Module 10
3 lessonsDevelop reviewed website content, local search, business profiles, educational articles, social and email campaigns, video scripts, landing pages, review workflows, community outreach, and referral campaigns without unsupported clinical or outcome claims.
Module 11
3 lessonsProtect sensitive information through encryption, role-based access, identity controls, multifactor authentication, data classification, secure prompting, vendor security, incident response, recovery planning, governance, and business continuity.
Module 12
3 lessonsDesign narrowly scoped scheduling, communication, treatment-coordination support, insurance, billing-support, knowledge, marketing, compliance, reporting, and training agents with permissions, approval checkpoints, audit logs, escalation, security, and output verification.
Module 13
3 lessonsUnderstand practice-management and electronic dental-record systems, imaging-workflow concepts, patient portals, OCR, document management, dashboards, secure messaging, APIs, and interoperability without presenting examples as production clinical integrations or image interpretation.
Module 14
3 lessonsLead strategy, hiring, staff training, policy development, performance measurement, department dashboards, expansion, operational planning, executive reporting, responsible adoption, implementation sequencing, and measurable return on investment.
Module 15
3 lessonsEvaluate ambient-documentation concepts, voice AI, administrative automation, predictive scheduling, patient engagement, digital assistants, emerging technology, workforce change, and future rules through privacy, safety, evidence, and governance review.
Learning outcomes
Assessment
The final assessment measures how well you apply the curriculum to realistic scheduling, communication, treatment-coordination, documentation, revenue-cycle, quality, marketing, security, technology, governance, and leadership scenarios without crossing into clinical decision-making.
Start with the vendor-neutral foundations, privacy controls, licensed-review requirements, and administrative workflows covered across the complete Level 1 curriculum.
MADPC is an independent professional education program focused on administrative, operational, communication, and business uses of AI. It is not a dental license or clinical credential and does not replace the judgment of a dentist, hygienist, assistant, specialist, or other qualified professional, or applicable clinical protocols, legal counsel, privacy or compliance review, payer requirements, or law. The program does not teach diagnosis, independent radiographic interpretation, prescribing, treatment recommendations, clinical protocols, unsupported CDT guidance, or reimbursement rules. AI-generated content requires qualified human review, and patient information must be handled through approved systems in accordance with applicable privacy and security requirements. The program is not endorsed by any dental board, dental association, government agency, regulator, payer, healthcare organization, professional organization, or standards body. No professional education hours or approvals are claimed, and no clinical outcome, case acceptance, reimbursement, compliance, patient-experience, operational, or financial result is guaranteed.