AI for Life Sciences & Pharma: Core

The working rung between safe everyday use and regulated-workflow expertise. Learners apply AI to the real middle of pharma work - literature summaries, internal reports, meeting-heavy coordination - while learning the documentation habits regulated environments expect. They finish using AI confidently in daily work with an auditable trail.

What this course covers

The course runs across 8 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

The Line Between Everyday AI and Regulated Work — You need to write a quick email summarizing a new study. Learn where safe everyday AI help ends and regulated work begins.
Summarizing Literature with Citations — Imagine you have a 50-page clinical study. Learn how to use AI to find key points while keeping every source citation intact.
Writing Traceable Prompts — Your manager must check your report against the original papers. Learn to write prompts that link every claim to a specific page.
Drafting Traceable Internal Reports — You need to draft a status update on an ongoing study. Use AI to draft the text while you maintain full control of the facts.
Coordinating Studies with AI Meeting Notes — You just finished a project kick-off meeting. Learn how to turn raw transcripts into clean, actionable study notes using AI.
Documenting AI Assistance — Company rules require you to state when you use AI. Learn how to write clear, simple disclosure notes for your drafts.
Knowing When Validated Processes Begin — You are moving from a draft report to a formal regulatory submission. Learn when to stop using general AI and switch to validated systems.
Creating an Auditable Trail — Put it all together. Run a mock audit on a report to ensure every AI step is documented and traceable.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick.

Who it is for

Life sciences and pharma professionals. The material is pitched at Intermediate level, and takes roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Industry: Life Sciences track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including branching scenario, guided lab exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Also in this track

AI for Life Sciences & Pharma: Advanced — Pharma, biotech, and life-sciences teams learn to apply AI in regulated workflows with rigor. The course covers literature review, regulatory writing, data analysis, validation, and GxP and compliance considerations. Participants finish able to use AI where it's allowed, carefully and defensibly.

Frequently asked questions

How long does this course take?

It runs roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code IND-PHARMA-CORE.