University / QA Teams
For university leaders, QA offices, academic managers and institutional staff.
Focus: AI-assisted self-evaluation, internal QA, academic integrity, assessment, vendor controls, risk management and governance.
View your routeNext cohort: –
A practical, live professional-development course for representatives of AAC member institutions and AAC QA experts.
Learn where AI can support quality assurance work, where human judgment must remain protected, and how to preserve evidence integrity, confidentiality, transparency and accountability.
Registration is open for the next cohort on 19–22 October 2026. Free for active AAC AI+QA Institute members, with AAC QA experts invited through the Expert Development Access program.
The course runs every month during the third week, with 15 participants per cohort. Places are allocated on a first-come, first-served basis. Eligible registrants who cannot join the next cohort will receive priority invitations to the following course.
AI can help organize evidence, navigate documents, draft questions, identify patterns and support reporting. But it can also introduce unsupported claims, confidentiality risks, hidden automation and inappropriate delegation of professional judgment. This course gives institutions and reviewers a practical framework for using AI while protecting the integrity of quality assurance.
For university leaders, QA offices, academic managers and institutional staff.
Focus: AI-assisted self-evaluation, internal QA, academic integrity, assessment, vendor controls, risk management and governance.
View your routeFor external reviewers, accreditation experts and panel chairs.
Focus: evidence navigation, question drafting, report support, prompt controls, AI-use declarations and review accountability.
View your routeTotal learner workload — approximately 8 hours, including live sessions, applied learning and assessment.
Five modules on governance, accountability, evidence, confidentiality and auditability.
Choose University / QA Teams or Experts / Reviewers.
12 practical cases based on higher-education QA scenarios. A case-based final assessment rather than recall-only.
Issued after successful completion and assessment.
Participants receive practical implementation resources, including:
Registration is open to active AAC AI+QA Institute members, with invited AAC experts participating through a separate professional-development pathway in responsible AI use in accreditation and education quality.
course access is included at no additional charge.
complimentary Expert Development Access may be provided separately from membership.
may register interest for future access.
Participants are encouraged to use the AI platform they already work with professionally. AAC does not require or endorse a specific commercial AI provider.
Participants who complete the required modules and successfully pass the assessment receive an AAC AI+QA Institute Certificate of Completion and independent expert status in the responsible use of AI in higher education quality assurance.
Yes for active AAC AI+QA Institute members. Invited AAC experts may also receive complimentary Expert Development Access.
Not necessarily. Members receive the course as a membership benefit. AAC experts may be invited through a separate expert-development route. Other professionals may register interest for future access.
Approximately 8 hours of learner workload, including the Common Core, one role-specific track and the final assessment.
The course is primarily delivered live by AAC leaders and leading experts, creating opportunities to exchange experience and discuss current issues in AI, accreditation and quality in higher education. A self-paced version will be developed over time.
Successful participants receive a Certificate of Completion confirming professional development training and independent expert status in the responsible use of AI in higher education quality assurance.
The course runs every month during the third week, with 15 participants per cohort. Places are allocated on a first-come, first-served basis. Eligible registrants who cannot join the next cohort will receive priority invitations to the following course.
The course runs every month during the third week. The next live course will take place from 19 to 22 October 2026, with four 45-minute sessions. AAC will contact registrants with participation details.
Registration is open for the next cohort on 19–22 October 2026. Free for active AAC AI+QA Institute members, with AAC QA experts invited through the Expert Development Access program.
Next cohort: –
A practical, live professional-development course for representatives of AAC member institutions and AAC QA experts.
Learn where AI can support quality assurance work, where human judgment must remain protected, and how to preserve evidence integrity, confidentiality, transparency and accountability.
Registration is open for the next cohort on 19–22 October 2026. Free for active AAC AI+QA Institute members, with AAC QA experts invited through the Expert Development Access program.
The course runs every month during the third week, with 15 participants per cohort. Places are allocated on a first-come, first-served basis. Eligible registrants who cannot join the next cohort will receive priority invitations to the following course.
AI can help organize evidence, navigate documents, draft questions, identify patterns and support reporting. But it can also introduce unsupported claims, confidentiality risks, hidden automation and inappropriate delegation of professional judgment. This course gives institutions and reviewers a practical framework for using AI while protecting the integrity of quality assurance.
For university leaders, QA offices, academic managers and institutional staff.
Focus: AI-assisted self-evaluation, internal QA, academic integrity, assessment, vendor controls, risk management and governance.
View your routeFor external reviewers, accreditation experts and panel chairs.
Focus: evidence navigation, question drafting, report support, prompt controls, AI-use declarations and review accountability.
View your routeTotal learner workload — approximately 8 hours, including live sessions, applied learning and assessment.
Five modules on governance, accountability, evidence, confidentiality and auditability.
Choose University / QA Teams or Experts / Reviewers.
12 practical cases based on higher-education QA scenarios. A case-based final assessment rather than recall-only.
Issued after successful completion and assessment.
Participants receive practical implementation resources, including:
Registration is open to active AAC AI+QA Institute members, with invited AAC experts participating through a separate professional-development pathway in responsible AI use in accreditation and education quality.
course access is included at no additional charge.
complimentary Expert Development Access may be provided separately from membership.
may register interest for future access.
Participants are encouraged to use the AI platform they already work with professionally. AAC does not require or endorse a specific commercial AI provider.
Participants who complete the required modules and successfully pass the assessment receive an AAC AI+QA Institute Certificate of Completion and independent expert status in the responsible use of AI in higher education quality assurance.
Yes for active AAC AI+QA Institute members. Invited AAC experts may also receive complimentary Expert Development Access.
Not necessarily. Members receive the course as a membership benefit. AAC experts may be invited through a separate expert-development route. Other professionals may register interest for future access.
Approximately 8 hours of learner workload, including the Common Core, one role-specific track and the final assessment.
The course is primarily delivered live by AAC leaders and leading experts, creating opportunities to exchange experience and discuss current issues in AI, accreditation and quality in higher education. A self-paced version will be developed over time.
Successful participants receive a Certificate of Completion confirming professional development training and independent expert status in the responsible use of AI in higher education quality assurance.
The course runs every month during the third week, with 15 participants per cohort. Places are allocated on a first-come, first-served basis. Eligible registrants who cannot join the next cohort will receive priority invitations to the following course.
The course runs every month during the third week. The next live course will take place from 19 to 22 October 2026, with four 45-minute sessions. AAC will contact registrants with participation details.
Registration is open for the next cohort on 19–22 October 2026. Free for active AAC AI+QA Institute members, with AAC QA experts invited through the Expert Development Access program.
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