Learning for myself
Find the pathway for my role
Get a short role-based recommendation, start AI Fundamentals free, then upgrade only when you need protected learning, formal assessment, or credentials.
Life Sciences AI Academy
Use AI confidently and responsibly in life-sciences work.
Role-based learning for pharmaceutical and biotechnology professionals who need to use, review, document, and govern AI in regulated environments.
No payment or account required to preview Stage 1 lessons and practice exercises.
The Academy in 2 minutes
See how the Academy works
From choosing your pathway to practicing real workplace decisions, see what learning looks like and how verifiable Academy badges are earned.
Choose your starting point
One Academy, two clear journeys
Evaluating for my team
Build a role-based upskilling program
Assess organizational readiness, review sample role-to-track mappings and evidence controls, then scope an Academy program around your approved tools and procedures.
What changes after the learning
Build the judgment required for AI-assisted regulated work
01
Evaluate whether an AI use is authorized for the work at hand.
02
Recognize confidential-data risks before writing a prompt.
03
Detect unsupported claims and verify important outputs against source evidence.
04
Build a defensible record of human review and accountable decisions.
05
Explain AI-assisted work during an audit or inspection.
06
Know when to stop, document the concern, and escalate.
A guided upskilling flow
From a two-minute recommendation to demonstrated competency
01
Find your path
Select your role, experience, and goal. See the exact required and recommended tracks.
02
Try real learning
Open AI Fundamentals and complete the first practice experience without payment.
03
Preserve progress
Create a free account when you are ready to retain progress and purchase protected learning.
04
Demonstrate competency
Complete the published assessment gates before any credential is issued.
Available now
The current 13-track Academy
Five progressive stages move from AI literacy to role-based practitioner competency. Every track teaches the same five workplace behaviours in a different regulated context.
- 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.
Inspect the experience
See the learning, evidence, and credential model before you commit
Sample lesson and exercise
Open the first AI Fundamentals lesson and see how workplace decisions and practice are structured.
Open the sample lesson →Illustrative evidence library
Inspect sample practice, a badge explanation, learner progress, and proposed team reporting.
Inspect the examples →The Academy in two minutes
See role-based pathways, practical learning, and how verifiable Academy badges are earned.
Watch the Academy overview →No testimonials, customer logos, completion statistics, or employment claims are shown unless they can be substantiated and their limits explained.
Enterprise customization
Adapt the Academy to approved tools, roles, and procedures
The current Academy is available above. Organizations can separately scope role mappings, company-specific scenarios, evidence expectations, reporting, and implementation support.
Explore a program for my teamENTERPRISE CURRICULUM BLUEPRINT
Compliant AI in GMP
Two versions of the proposed enterprise curriculum and control framework
The 8-page executive brief gives sponsors the decision, pathways, evidence gates and regulatory posture. The 40-page technical blueprint contains all 19 modules, laboratories, learner and system-owner controls, qualification design and sources.
The Academy currently offers 13 tracks and 66 lessons with knowledge checks, practical exercises and recorded submissions. Both documents describe proposed enterprise work. The 19-module program, observed assessments and qualification board are not currently available as an online course.
Register with your work email to generate a private download link. No payment required.
See how an organization can evaluate the framework →What’s included
- Executive decision briefAn 8-page version for sponsors who need the decision, operating model, proposed pathways, evidence gates and next step.
- Full 19-module blueprintThe complete technical design for role-specific learning, system controls and performance assessment. The proposed program is not available as an online course.
- Authority ladderDefined levels of AI contribution and the corresponding human obligations.
- AI failure-mode taxonomyA shared vocabulary for identifying and reviewing AI output defects.
- Proposed role pathwaysDesigns for manufacturing, QA, QC, MSAT, process development, supply chain, risk management and document control.
- Proposed assessment frameworkSpecifications for observed simulations, oral defense, critical failures and requalification. Case materials, assessor calibration and pilot evaluation remain to be developed.
- Organizational implementation roadmapPhased actions and exit evidence for putting the program into practice.
- Regulatory baselineA primary-source regulatory baseline updated on 17 September 2026.
Evidence discipline
Review how the curriculum and credentials are controlled
The Academy publishes its primary-source mapping, curriculum ownership, assessment gates, credential boundaries, version controls, and correction process.
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.