SecureAI Certification Center

Professional certifications that validate expertise in artificial intelligence, emphasizing both technical proficiency and a deep understanding of responsible AI practices, ethics, and public policy frameworks. Every certification is proven by a credential anyone can verify.

See the certifications

Industry-Aligned Excellence

Expert Developed

Certifications developed by subject-matter experts with deep industry experience

Industry Aligned

Aligned with industry best practices, standards, and emerging trends

Security Focused

Emphasis on responsible AI practices and cybersecurity integration

Certification Offerings

Certifications ladder from Foundations to Advanced to Senior within a subject, so each one builds on the last.

Foundations of Quantum Computing with IBM Qiskit

Foundations

Quantum Computing

This credential recognizes foundational knowledge and practical skills in quantum computing and quantum circuit development using IBM Qiskit. Earners can explain core quantum concepts, construct and visualize quantum circuits, apply common quantum gates, execute circuits using simulators, measure results, and interpret quantum output.

Technical Proficiency Credential

THIS CREDENTIAL RECOGNIZES FOUNDATIONAL TECHNICAL PROFICIENCY IN QUANTUM CIRCUIT DEVELOPMENT WITH IBM QISKIT.

Foundations of Quantum Computing with IBM Qiskit

Issued by National Center for Secure AI Education

Fall 2026 Cohort

Sponsors:

H5 · Entangix Quantum Solutions

Ada Lovelace

Participant Name

September 10, 2026

Date

Quantum CircuitsFOUNDATIONS

Willie Lee

Executive Director & Chief Architect

Credential ID 00000000-0000-4000-8000-000000000000 · Signed by did:web:secureaieducation.org

Specimen of the credential you receive

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Foundations of Agentic Automation with n8n

Foundations

Agentic Automation with n8n

Build, secure, and operate AI-driven automation workflows in n8n — from triggers and integrations to agentic tool use and human-in-the-loop review.

Key Topics Covered:

  • n8n fundamentals: nodes, triggers, connections, and workflow execution
  • Connecting APIs, webhooks, and third-party services
  • Building agentic workflows that call AI models and use tools
  • Data mapping, expressions, and transforming payloads between nodes
  • Error handling, retries, logging, and human-in-the-loop approval steps
  • Credential hygiene, data privacy, and secure deployment of automations
  • Testing, deploying, and monitoring workflows in production

Ideal For:

Operations, IT, and business-process professionals — automation engineers, ops managers, and analysts — who build and run the AI-driven workflows their organization depends on

Technical Proficiency Credential

THIS CREDENTIAL RECOGNIZES FOUNDATIONAL TECHNICAL PROFICIENCY IN BUILDING AND OPERATING AI-DRIVEN AUTOMATION WORKFLOWS IN N8N.

Foundations of Agentic Automation with n8n

Issued by National Center for Secure AI Education

Fall 2026 Cohort

Ada Lovelace

Participant Name

September 10, 2026

Date

AgenticAutomation with…FOUNDATIONS

Willie Lee

Executive Director & Chief Architect

Credential ID 00000000-0000-4000-8000-000000000000 · Signed by did:web:secureaieducation.org

Specimen of the credential you receive

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Accounting Process Mapping for Agentic Systems

Foundations

Agentic Accounting Systems

Map the accounting pipeline an automated system runs — from source transactions through recognition to financial statements — and write the multi-entity rules it applies down to authority: cited, effective-dated, and provably findable by the system that must apply them.

Key Topics Covered:

  • The automated accounting pipeline: ingestion → recognition → statements → tax mapping → forms
  • Process mapping in BPMN 2.0 — swimlanes, gateways, events, and trust boundaries
  • Transaction ingestion and completeness across bank, card, brokerage, and manual sources
  • Multi-entity attribution: which entity a transaction belongs to, and why
  • Shared costs, management fees, allocations, and intercompany transactions as related-party arrangements
  • Transaction categorization against a chart of accounts
  • Recognition treatment as explicit, testable rules — R&D capitalization, stock compensation, revenue recognition, investment income
  • Authoring a rule corpus for retrieval: citation, authority hierarchy, chunking, effective dates
  • Proving a rule is findable: adversarial retrieval against a corpus you wrote, and the worked example that shows the treatment is right
  • Trial balance to financial statements, per entity and consolidated — and why statements are derived, never configured

Ideal For:

Accounting and finance professionals serving venture-funded companies and family offices — family office controllers, fund and entity accountants, startup controllers and fractional CFOs, client accounting services and tax staff at the firms that serve them, and the tax managers who sign the entity returns — who are accountable for accounting work that automated systems now perform, and who need to specify it and write down the rules it applies rather than take its output on trust.

Technical Proficiency Credential

THIS CREDENTIAL RECOGNIZES FOUNDATIONAL TECHNICAL PROFICIENCY IN MAPPING AUTOMATED MULTI-ENTITY ACCOUNTING WORKFLOWS AND AUTHORING THE RULES THEY APPLY.

Accounting Process Mapping for Agentic Systems

Issued by National Center for Secure AI Education

Fall 2026 Cohort

Ada Lovelace

Participant Name

September 10, 2026

Date

AgenticAccounting…FOUNDATIONS

Willie Lee

Executive Director & Chief Architect

Credential ID 00000000-0000-4000-8000-000000000000 · Signed by did:web:secureaieducation.org

Specimen of the credential you receive

Learn More

Foundations of the NIST AI Risk Management Framework

Foundations

AI Risk Management

Govern, map, measure, and manage AI risk under NIST AI RMF 1.0 — turning the framework's four functions into the controls, evidence, and documented decisions an organization can defend to an auditor or a regulator.

Key Topics Covered:

  • What the AI RMF is and is not: its scope, its voluntary posture, and how it relates to ISO/IEC 42001, the NIST Cybersecurity Framework, and the NIST Privacy Framework
  • The characteristics of trustworthy AI, and the real trade-offs between them
  • GOVERN: policies, accountable roles, escalation paths, and setting a risk tolerance before a model is chosen
  • MAP: establishing an AI system's context, intended use, foreseeable misuse, and the parties it can harm
  • MEASURE: selecting metrics and evaluation methods proportionate to risk — and naming what cannot be measured
  • MANAGE: prioritizing and treating AI risk, monitoring deployed systems, and deciding when a system must not ship
  • Third-party and supply-chain AI risk: foundation models, vendor components, and risk you inherit without evidence
  • The Generative AI Profile (NIST AI 600-1): the risks unique to generative systems and the actions it prescribes
  • Authoring an AI RMF Profile tailored to a sector, a use case, and an organization's risk appetite
  • Documentation and audit trail: the artifacts that make an AI risk decision defensible after the fact
  • Incident response, post-deployment monitoring, drift, and decommissioning an AI system
  • Making the assurance case: presenting an AI risk assessment to auditors, regulators, and customers

Ideal For:

Risk, compliance, and security professionals accountable for AI systems in production — AI governance leads, model risk managers, internal auditors, privacy and security officers, and the engineering and product leads who must produce the evidence a governance program runs on

Technical Proficiency Credential

THIS CREDENTIAL RECOGNIZES FOUNDATIONAL TECHNICAL PROFICIENCY IN GOVERNING, MAPPING, MEASURING, AND MANAGING AI RISK UNDER THE NIST AI RISK MANAGEMENT FRAMEWORK.

Foundations of the NIST AI Risk Management Framework

Issued by National Center for Secure AI Education

Fall 2026 Cohort

Ada Lovelace

Participant Name

September 10, 2026

Date

AI RiskManagementFOUNDATIONS

Willie Lee

Executive Director & Chief Architect

Credential ID 00000000-0000-4000-8000-000000000000 · Signed by did:web:secureaieducation.org

Specimen of the credential you receive

Learn More

Every certification comes with a verifiable credential

The certification is the qualification you earn. The credential is the proof you earned it — a signed, tamper-evident digital record that stands on its own, no phone call to us required.

Cryptographically signed

Every credential is issued as an Open Badges 3.0 Verifiable Credential, signed by the National Center for Secure AI Education under a did:web identity. Alter a single character and the signature no longer checks out.

Independently verifiable

An employer or admissions office can check a credential on their own, without contacting us. Verification also checks whether the credential is still live, so a revoked or expired one can never present as valid.

Yours to share

Each credential has its own page, a badge you can add to LinkedIn, and a printable sheet. You decide whether it is listed in our public directory — the verification link always works for anyone you hand it to.

Who Benefits from Our Certifications

Individual Professionals

Seeking validation of AI expertise and career advancement

Key Benefits:

  • Career advancement
  • Professional credibility
  • Skill validation
  • Industry recognition

Corporate Teams

Organizations seeking to verify employee proficiency and build capabilities

Key Benefits:

  • Team competency verification
  • Training ROI measurement
  • Compliance demonstration
  • Talent development

Government & Nonprofit

Public sector professionals working with AI frameworks and policy

Key Benefits:

  • Policy implementation
  • Framework compliance
  • Public trust building
  • Regulatory alignment

Educators & Trainers

Faculty and corporate trainers who teach AI and cybersecurity and need a credential of their own

Key Benefits:

  • Teaching qualification
  • Curriculum credibility
  • Research validation
  • Continuing development

Certification Process

01

Assessment & Planning

Evaluate your current skills and determine the right certification pathway for your goals.

02

Preparation & Study

Access study materials, training programs, and practice assessments tailored to your chosen certification.

03

Examination

Complete comprehensive examinations that test both theoretical knowledge and practical application.

04

Credential Issued

Receive your signed, verifiable credential and join our community of certified professionals.

Ready to Shape the Future of AI?

Tell us where you are and what you want to certify in, and we will point you at the right pathway.