Digital Quality & ComplianceComing soon
Course facts.
LevelAdvanced, for people who already run validation work
PrerequisiteOperational CSV & CSA or several years of validation practice
FormatLive first, then self-paced chapters
Completion windowOne month from enrolment
AssessmentGraded, with certificate on passing
Who this course is for.
Built for working professionals
If you work in industry
Cut validation effort with strategies you can defend, and get ahead of AI/ML system validation.
Course outline▼
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Click a module to see every lesson.
01
Cloud & SaaS validation
Validate what you do not host.
- The shared responsibility model: what you validate versus what the vendor owns
- Assessing cloud vendors: SOC 2, ISO 27001 and audit evidence
- Continuous validation when the vendor releases monthly
02
AI system validation
What changes when the system learns.
- Why AI/ML systems need a different validation approach
- The FDA AI/ML action plan and where guidance is heading
- Locked models, learning models and change management
03
Leading a validation programme
Operate at programme level.
- Designing and governing an organisation-wide validation programme
- Building the team: roles, responsibilities and vendors
- Sustaining compliance through organisational change
This course is in production and the outline is confirmed. Join the waitlist and we will tell you the moment enrolment opens. Waitlist demand also decides which course we launch next.
What you leave with
A certificate of completion and a risk-based strategy you built on a realistic case.
Enrolment, waitlists, payment and delivery run on our learning platform at learn.ada.archimedis.io.