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PROGRAM 24 · TEAM TRAINING

AI & Data for Agriculture & Agro-business Professionals

Smarter planning, better prices, and clearer advice for farmers.

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

  • Agro company managers, product and marketing teams
  • Field officers, agronomists and extension staff
  • Procurement, supply chain and dealer sales teams
  • Teams in seed, fertilizer, feed, poultry, dairy, fisheries and agri-NGO programmes

What your team will be able to do

  • Write farmer advisory messages in simple Bangla, checked by experts
  • Turn field visit, survey and dealer data into clear reports
  • Track crop and input prices and plan for the season
  • Deploy four working automations for your agro 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 agro-business work

9:00–10:30S1Prompt engineering for agro-business
10:30Tea break
10:45–12:15S2Farmer advisory & field communication
12:15Lunch & prayer
1:00–2:30S3Agro marketing & dealer communication
2:45–4:30LABBuild lab: prompt library on your own files
4:30–5:00Q&A and day recap

Day 2

9:00 am – 5:00 pm

Season data, then the first two builds

9:00–10:30S4Formulas & agro data cleaning
10:30Tea break
10:45–12:15S5Agro analytics: season, market & field
12:15Lunch & prayer
1:00–2:30S6Projects 01 & 02: Assistant & alerts
2:45–4:30LABBuild lab: dashboard, assistant and alerts on your data
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: Field visit workflow
10:30Tea break
10:45–12:15S8Project 04: Procurement slip 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 Agro-business WorkSessions 1–3

Chatbot Landscape & Tool Selection

  • Gemini, ChatGPT, Claude, Copilot and DeepSeek: strengths for agro-business work (Bangla advisory text, field report summaries, survey tables, donor reports)
  • 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 an agronomist, field officer, agro sales manager or programme officer
  • Controlling output: length, tone, language, table or bullet format

Advanced Prompting Techniques

  • Few-shot prompting: teaching the model with examples of your own agro-business work
  • Step-by-step reasoning for multi-part tasks such as planning seed stock by district for the Boro season or comparing two procurement offers
  • Constraint prompting: what to include, what to exclude, what to never assume
  • Chained prompts: breaking a seasonal farmer campaign (crop calendar → advice → messages → field schedule → follow-up) 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 agro-business tasks
  • Testing a prompt before it goes into daily use

Data Privacy & Verification Discipline (Core)

  • What must never be pasted: farmer names, phone numbers and NID, contract farming prices, dealer credit limits, unreleased product trials, donor budgets
  • Anonymising data before prompting; safe vs unsafe agro-business 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 agro-business tasks.
PART 2Agro-business 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

Agronomy & Product Knowledge Assistant

Field officers, dealer sales staff and call centre colleagues get answers from approved crop guides, product labels and dosage charts, with the section cited.

  1. INCrop guides & product labels
  2. AIGrounded Gemini assistant
  3. OUTAnswer with the section cited
Built with Google AI Studio
02Session 6

Licence, Season & Stock Alert Engine

Registrations, dealer licences, crop seasons, vaccination schedules and batch expiries checked daily, with alerts 30, 15 and 7 days ahead.

  1. INLicence, season & stock tracker
  2. RUNDaily Make scenario
  3. OUTAlert to the right owner
Built with Make · Sheets · Gmail
03Session 7

Field Visit & Farmer Request Workflow

Field officers log visits and farmer requests by form, pest and disease problems go to the agronomist or vet, and overdue follow-ups are flagged.

  1. INField visit form
  2. RULESRouting & follow-up script
  3. OUTAdvice back to field officer
Built with Apps Script · Forms
04Session 8

Procurement Slip & Order Extraction

Purchase slips, weighbridge receipts and dealer orders become clean rows, with lots outside quality limits and price mismatches flagged.

  1. INSlips, receipts & dealer orders
  2. AIGemini structured extraction
  3. OUTChecked rows in your sheet
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 Agro-business

Fairness & Non-Discrimination

  • Where bias enters agro-business 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 farmer, dealer and beneficiary data

Farmer Welfare & Honest Advice

  • Advice that is wrong can destroy a season: every message is expert-checked
  • No overselling inputs farmers do not need

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 agro-business 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 agro-business tasks
  • Write verified farmer advisory, product and dealer communication in Bangla
  • Produce market briefs and programme reports from field and price data
  • Clean field, dealer and procurement data and build a season 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 seasonal advisory message set
A product leaflet, dealer scheme letter and market brief
A season and dealer dashboard you can defend number by number
A grounded agronomy & product knowledge assistant your colleagues can use
A licence, season & stock alert engine that reaches the right owner
Four deployed automations running in your own organisation
A written AI use policy for your own agro-business team

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
Agro-business tools
KoboToolboxGoogle Mapsgovernment market price reports

What participants need

  • A laptop with Excel and a Google account
  • Basic Excel comfort (VLOOKUP, Pivot Tables) and one field, dealer or procurement sheet to practise on
  • 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 agro-business 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 agro-business 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