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PROGRAM 11 · TEAM TRAINING

AI & Data for Pharma Professionals

Sharper field force, faster documents, smarter market insight. Fully compliant.

Important: AI is used for internal work, training and analysis. Every promotional or medical claim must still go through the company's medical and regulatory review, and nothing AI writes replaces approved product information.

8 sessions3 modules4 hands-on projects3 days · 9 am–5 pmCertificate on completion
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Request a proposalSee the curriculum

Who this course is for

  • Product Managers, Marketing and Medical Services teams
  • Sales Managers, Area Managers and Medical Promotion Officers
  • QA, QC, Regulatory Affairs and Production documentation teams
  • Sales operations, distribution and MIS teams in pharma companies

What your team will be able to do

  • Turn product monographs into verified field briefs and training material
  • Prepare reps for doctor calls with role-plays and structured visit notes
  • Clean and analyse secondary sales, territory and depot data with AI help
  • Deploy four working automations in your own pharma team
How it runs

3 days at your office, 8 sessions

Three sessions a day plus a hands-on build lab every afternoon. Day 3 ends with capstone presentations.

Day 1

9:00 am – 5:00 pm

AI chatbots for pharma work

9:00–10:30S1Prompt engineering for pharma
10:30Tea break
10:45–12:15S2Product knowledge & field force
12:15Lunch & prayer
1:00–2:30S3Regulatory & quality documentation
2:45–4:30LABBuild lab: product brief and SOP on your own files
4:30–5:00Q&A and day recap

Day 2

9:00 am – 5:00 pm

Sales analysis, then the first two builds

9:00–10:30S4Formulas & sales data cleaning
10:30Tea break
10:45–12:15S5Pharma analytics & management narrative
12:15Lunch & prayer
1:00–2:30S6Project 01 & 02: SOP assistant & tracker
2:45–4:30LABBuild lab: territory dashboard, assistant and alerts
4:30–5:00Q&A and day recap

Day 3

9:00 am – 5:00 pm

Last two builds and the capstone

9:00–10:30S7Project 03: Sample & expense requests
10:30Tea break
10:45–12:15S8Project 04: Supplier document extraction
12:15Lunch & prayer
1:00–3:00LABCapstone build clinic
3:15–4:30LABCapstone presentations
4:30–5:00Certificates and next steps
Group: 10–40 people from one organisationSame content and projects in both formatsBangla delivery with English technical termsEvery session ends with a deliverable
Curriculum

8 sessions, one build in each

3 modules · 8 sessions · 4 hands-on projects

PART 1AI Chatbots for Pharma WorkSessions 1–3

Chatbot Landscape & Tool Selection

  • Gemini, ChatGPT, Claude, Copilot and DeepSeek: strengths for pharma work (long monographs, SOP drafts, rep training scripts, sales tables)
  • Free vs paid tiers; a workflow that needs no international payment card
  • Bangla vs English output quality; when to draft in English and translate
  • Which tool for a long document, which for a formula, which for a polished letter

Prompt Engineering Fundamentals

  • What a prompt is; why the same question gives different answers
  • The four-part structure: role, context, task, output format
  • Role prompting: act as a product manager, medical services officer, regulatory affairs executive or QA documentation lead
  • Controlling output: length, tone, language, table or bullet format

Advanced Prompting Techniques

  • Few-shot prompting: teaching the model with examples of your own pharma work
  • Step-by-step reasoning for multi-part tasks such as comparing territory performance against target or checking a deviation report for missing steps
  • Constraint prompting: what to include, what to exclude, what to never assume
  • Chained prompts: breaking a new product launch pack (monograph → key messages → rep brief → Q&A sheet → quiz) into a sequence of smaller steps

Iteration & Prompt Library Building

  • Why the second prompt matters more than the first; refining instead of restarting
  • Diagnosing a bad output: vague instruction, missing context or wrong tool
  • Building reusable prompt templates for repeated pharma tasks
  • Testing a prompt before it goes into daily use

Data Privacy & Verification Discipline (Core)

  • What must never be pasted: doctor names with prescription data, patient information, unpublished formulations and batch records, DGDA submission files, price and discount structures
  • Anonymising data before prompting; safe vs unsafe pharma use cases
  • Hallucination awareness; verifying every figure, date, name and legal reference
  • The verification rule: AI drafts, a person checks before anything leaves the building
DELIVERABLEa personal prompt library of 10 templates for your repeated pharma tasks.
PART 2Pharma Data Analysis in Excel & Google SheetsSessions 4–5
PART 3Applied Projects: AI Assistants & AutomationSessions 6–8
Applied projects

Four automations, running in your organisation

01Session 6

SOP & Product Knowledge Assistant

Reps, area managers and QA staff ask questions and get answers from approved SOPs and monographs, with the section cited.

  1. INApproved SOPs & monographs
  2. AIGrounded Gemini assistant
  3. OUTAnswer with the section cited
Built with Google AI Studio
02Session 6

Regulatory & Licence Renewal Tracker

Registration renewals, DGDA deadlines, licences, calibration and GMP audit dates checked daily, with alerts 30, 15 and 7 days ahead.

  1. INRegulatory & licence tracker
  2. RUNDaily Make scenario
  3. OUTAlert to the right owner
Built with Make · Sheets · Gmail
03Session 7

Sample & Field Expense Requests

Rep requests routed to the area manager, then the sales manager above a threshold, with territory budgets and policy-limit flags.

  1. INRep request form
  2. RULESApproval routing script
  3. OUTApproved request in master sheet
Built with Apps Script · Forms
04Session 8

Supplier Document & Invoice Extraction

Invoices, certificates of analysis and challans become clean rows, checked against specification limits, with duplicate and short-expiry flags.

  1. INSupplier invoices & CoAs
  2. AIGemini structured extraction
  3. OUTChecked rows for QA review
Built with Gemini API · Drive

Capstone presentation

Each person presents one automation built for their own workplace.

Day 3 afternoon
Applied across every session

Responsible & Ethical AI in Pharma

Fairness & Non-Discrimination

  • Where bias enters pharma decisions: data, wording, criteria and past patterns
  • Proxy discrimination: address, age, gender or background inferred indirectly

Privacy & Data Protection

  • Data minimisation: collect only what the decision requires
  • Retention and deletion of doctor, patient and employee data

Patient Safety & Promotional Integrity

  • Only approved claims reach doctors; AI never invents efficacy or safety data
  • No AI involvement in diagnosis, dosing or patient-level medical advice

Accountability & Human Oversight

  • Human-in-the-loop by design: AI recommends, a named person decides
  • Who owns an AI-assisted decision when it is challenged

Workforce Impact & Your AI Use Policy

  • Talking to pharma teams about AI without triggering job-loss fear
  • Reskilling and role redesign as AI absorbs routine work
Outcomes

By the end, your team can

  • Choose the right AI tool and write prompts that work first time
  • Maintain a prompt library covering your repeated pharma tasks
  • Turn monographs and studies into verified field briefs and training
  • Draft SOPs, deviation reports and regulatory checklists for review
  • Clean secondary sales data and build a territory performance dashboard
  • Build and deploy automations with Make, Apps Script and the Gemini API
  • Apply fairness, transparency and privacy to every AI-assisted decision

And leaves with

A verified product brief, Q&A sheet and rep role-play set
An SOP draft and a deviation report template
A territory dashboard with commentary you can defend number by number
A grounded sop & product knowledge assistant your colleagues can use
A regulatory & licence renewal tracker that reaches the right owner
Four deployed automations running in your own organisation
A written AI use policy for your own pharma department

Tools your team will use

Chatbots
ChatGPTGeminiClaudeCopilotDeepSeek
Content
CanvaGammaCapCutGoogle Slides
Data
Microsoft ExcelGoogle SheetsPower Query
Workspace
GmailCalendarMeetFormsDrive
Automation & AI builds
MakeGoogle AI StudioApps ScriptGemini API
Pharma tools
NotebookLMLooker StudioPower BI basics

What participants need

  • A laptop with Excel and a Google account
  • Basic Excel comfort (VLOOKUP, Pivot Tables) and a masked sample of your sales or SOP files
  • One real work file to practise on from Session 2
  • No coding background required; free tiers only

How your team will learn

  • build-along classes (you work while the trainer works)
  • practise on your own workplace file, not dummy data
  • every session ends with a deliverable
  • Bangla delivery with English technical terms
  • recordings, prompt library and setup guides
  • certificate after capstone submission
Request a proposal

Bring this program to your pharma team

Tell us about your team. We reply within one working day with a plan built around your own documents and workflows.

  1. 1 · A short discovery call with your pharma lead
  2. 2 · We tailor examples to your masked files
  3. 3 · Offline at your office, or online live classes
Chat on WhatsApp
Request a proposal
AI & Data for Pharma Professionals: Team Training, Offline or Online | Data Solution 360