Qualification workflow
See the sequence from readiness assessment through continuing competency.
Review the workflow →Life Sciences AI Academy
AI Workforce Qualification for Life Sciences
We help life-sciences teams establish responsible AI capability, document training evidence, and qualify people by role—while Quality, validation, and approval authority remain with the organization.
No payment required for Stage 1 lessons and practice exercises.
Evidence before promises
Inspect how qualification, assessment, and evidence work
The Academy makes its learning workflow, assessment rules, credential boundaries, and public record model available for review. Start with the material that matters to your decision.
Assessment rules
Review the score, safety-critical, practical-evidence, documentation, and escalation gates.
Review the standard →Credential records
See what an issued badge record states about competency, version, and renewal.
View badge records →Founder overview
Watch the short overview of the Academy, its purpose, and how it serves regulated teams.
Watch the overview →The Academy shown here is one working example. We can build a pathway around your company's AI models, use cases, roles, permissions and controls.
Explore customized upskilling →A clear path to demonstrated competency
Preview the learning, practise the decisions, then earn the credential
01
Learn before you buy
Open the Stage 1 lessons and practice exercises without payment to evaluate the depth and fit.
02
Choose only the scope you need
Unlock a single track, the foundational assessments, one role pathway or the complete Academy.
03
Demonstrate competency
Complete required practice and assessment. Credentials are earned against published standards—not purchased on attendance.
Built for regulated life-sciences teams
The evidence behind the learning is visible
The Academy publishes who owns the curriculum, which authorities support each mapping, how draft and binding sources differ, what each credential proves, and how errors are corrected. AI may assist the workflow; a named person remains accountable for what is published.
Primary-source mapping
Official links, provisions, status, jurisdiction and applicability limits.
Version-controlled curriculum
Published assessment standard, source-review cadence and correction process.
Named accountability
Brian J. Drapeau is identified as founder, curriculum owner and accountable editor.
Transparent credentials
Score, safety, practice, identity, validity, renewal and revocation rules are public.
Organizational boundaries
Training evidence supports—but does not replace—validation, SOPs or Quality decisions.
Plain data practices
Browser-only assessment storage and persistent learner records are described separately.
The curriculum
Five progressive stages, from AI literacy to a role-based practitioner certification
Understand, apply, verify, document, escalate. Every track teaches the same five behaviours in a different regulated context, and every badge is earned by demonstrating them rather than by finishing a video.
- Tracks
- 13
- Lessons
- 66
- Credentials
- 13
- Frameworks mapped
- 55
- Role pathways
- 10
Stage 1
Foundational AI Literacy
2 tracks
The learner understands AI, its life-sciences applications, its limitations, the relevant regulatory environment and the need for human governance.
Life Sciences AI Foundations Credential
Stage 2
Operational Guardrails
4 tracks
The learner can determine whether an AI tool, data input and intended use are authorized and appropriately controlled.
AI Operational Guardrails Credential
Stage 3
Applied GxP Skills
3 tracks
The learner can use AI under human control, create source-grounded prompts, review outputs and recognize model-credibility requirements.
Applied GxP AI Practitioner Credential
Stage 4
Compliance Infrastructure
3 tracks
The learner can document AI-assisted work, support inspection readiness and respond appropriately to AI incidents.
AI Compliance and Inspection Readiness Credential
Stage 5
Role-Based Capstone
1 track
The learner demonstrates the integrated use of all relevant competencies through a realistic role-specific pharmaceutical scenario.
Certified Life Sciences AI Practitioner — [Role]
Understand
Know the system, intended use, limitations and applicable requirements before any AI-assisted work begins.
Apply
Use AI only within approved tools, approved purposes and your own decision authority.
Verify
Check significant outputs against authoritative evidence before they influence a decision.
Document
Preserve material inputs, sources, outputs, changes and the record of human review.
Escalate
Stop and involve the appropriate function when uncertainty, risk, policy conflict or potential harm is identified.
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Regulatory alignment indicates that curriculum topics map to published regulatory expectations. It does not constitute agency approval, certification, legal advice or a determination of organizational compliance.