AI for Agriculture & Agri-Input Operations

What you’ll be able to do

The job, task by task.

1. 1Check an AI pest advice note for summer green gram against the CIB and RC registered-use printout - before it goes out to forty growers on WhatsApp
2. 2Rule on an AI tank-mix suggestion for kharif sesame before the sprayer is filled - and give the grower a compatibility answer, not a referral
3. 3Recompute the harvest date for an EU-bound chilli lot - after an AI clears it against the Indian residue limit and cuts the interval to fit the vessel
4. 4Check thirty-eight AI-drafted KCC renewal and crop insurance files against the land record and the crop actually sown - then refuse the batch that does not match
5. 5Ground-truth a low-NDVI drought flag on a Thanjavur paddy plot with a geo-tagged crop cutting experiment - before anyone files a loss claim against it
6. 6Turn an AI-drafted fertiliser advisory into a broadcast for four hundred farmers - with no wrong unit, no wrong dose and no unsourced instruction left in it
7. 7Reconcile a fertiliser dealer's POS sales against physical stock and file the movement return - with the buyer file never leaving the approved tool and the variance never plugged
8. 8Sort your own job into what AI does, what it must not touch and what it has made new — and brief it so it stops guessing.
9. 9Trace every claim and number an AI gives you back to a source, make it write the formula rather than the answer, and keep a work log a manager accepts.
10. 10Find the personal data already on your desk, substitute before you paste, and know when a tool may not touch a file at all.
11. 11Draft, cut and translate without sounding like a machine, turn a broken export into a pivot, and hand over a prompt library your team can use.

• Excel
• Google Sheets
• WhatsApp Business
• KCC
• NDVI
• Google Docs

Syllabus

Eight weeks, one desk at a time.

Weeks 1-4 are the AICP common core, shared by every profession track: sixteen lessons on what AI does at a desk, how to verify it, and how to keep personal data out of it. Already finished one profession? The core carries over.

1. Week 1

   Week 1 · What AI does at your desk

   Shared core

   1. Three columns on a real job advertisement

      Take the job advertisement you actually applied to and sort every duty in it into three columns - AI does it, AI must not touch it, AI has made this new work

      • JD_recruitment_coordinator_sundaram.pdf.md
      • branch_reality_note.txt
      planted error 22 min

   2. The context pack that makes a prompt work

      Build a five-part context pack for one real task at your desk. Run the same prompt twice - once naked, once with the pack. Then show your manager the difference

      • campaign_tracker.xlsx
      • client_constraints.txt
      • two_past_emails.pdf.md
      planted error 23 min 3 min

   3. Argue the first draft down to something usable

      Get a first draft out of the AI in one shot. Then critique it, constrain it and regenerate. Stop when a dealer would read it without asking you a question

      • dealer_scheme_note.txt
      • last_year_circular.pdf.md
      • product_master_oct.xlsx
      planted error 22 min

   4. The five things it will get wrong every time

      Run five live prompts at your own desk. Find the five failure classes AI is reliably wrong about. Write the one-line check that catches each one

      • compliance_circular_nov2025.pdf.md
      • five_prompt_worksheet.csv
      • tool_pricing_screenshot.png.md
      planted error 23 min 3 min
2. Week 2

   Week 2 · Verify everything

   Shared core

   1. Every claim traced back to a source

      Take an AI-written summary note. Trace every factual claim in it to a page in the source pack. Hand over the claims log that proves you checked each one

      • ai_draft_briefing_note.docx.md
      • client_brand_guidelines.pdf.md
      • master_services_agreement.pdf.md
      planted error 22 min

   2. Make the AI write the formula, not the answer

      Get a correct total out of a 412-row expense export. Do not let the model do any arithmetic

      • oct_reimbursements.csv
      planted error 22 min 3 min

   3. Ten outputs, one drill, count what you catch

      Work through ten AI outputs on the clock, mark each one clean or defective, name the defect, and score yourself against the answer key

      • answer_key.pdf.md
      • catch_drill_ten_outputs.pdf.md
      • source_pack_for_drill.xlsx
      planted error 23 min

   4. The work log a manager will accept

      Write the AI work log for one week of your own tasks. A manager or an auditor should be able to rebuild what the tool did. Also what you checked, and what you signed off

      • ca_request_email.pdf.md
      • chat_history_export.txt
      • finance_signoff_sheet.pdf.md
      planted error 24 min 3 min
3. Week 3

   Week 3 · Personal data and disclosure

   Shared core

   1. Find the personal data already sitting in your shared folder

      Go through one shared-drive folder. Mark every file that holds personal data. Use the DPDP Act 2023 and the Rules notified 14 Nov 2025

      • dpdp_plain_extract.pdf.md
      • ops_folder_index.csv
      • vendor_master.xlsx
      planted error 22 min

   2. Build the substitution sheet before you paste anything

      Build a substitution sheet and use it. Then you can send a 60-row grievance list to an AI tool without exposing a single person

      • grievances_q2.csv
      • substitution_sheet_template.xlsx
      planted error 23 min 3 min

   3. Five situations, one question - may this tool touch this file at all

      For five real work situations, decide whether a consumer AI tool may be used at all. Write the one-line reason you would give your manager

      • ai_data_controls_screen.png.txt
      • five_situations.docx.md
      • trishul_it_policy_feb.pdf.md
      planted error 21 min

   4. Say the AI wrote it, and never let it decide about a person

      Decide which of six deliverables must carry an AI disclosure. Then reject an AI shortlist that ranks people while calling itself neutral

      • ai_shortlist_output.docx.md
      • applicant_summary.csv
      • intern_jd.pdf.md
      • six_deliverables_list.docx.md
      planted error 23 min 3 min
4. Week 4

   Week 4 · Writing, data and handover

   Shared core

   1. Draft it, cut it, then make the Hindi sound like a person wrote it

      Restructure a customer notice. Summarise it in five lines. Translate it into Hindi. Then fix the three places the output goes stilted

      • branch_call_script_old.docx.md
      • customer_language_split.csv
      • fee_notice_legal_draft.pdf.md
      planted error 22 min

   2. From a broken export to a pivot your manager can read out

      Turn a 1,240-line sales export into a clean table and a region pivot. Then get the single average-order-value figure your manager asked for

      • q2_sales_export.csv
      • zenpack_price_policy.pdf.md
      planted error 23 min 3 min

   3. Write the email, the chat line and the note that says I do not know yet

      For one delayed project, draft the client email, the internal chat message and the meeting note. Then escalate the one thing you cannot answer

      • client_thread.eml.txt
      • contract_extract.pdf.md
      • site_status_sheet.xlsx
      planted error 21 min

   4. Turn what worked into a prompt library your team can pick up

      Package your six best prompts into a dated, reviewable library. Your team should use it on Monday without asking you how it works

      • compliance_register_extract.pdf.md
      • my_prompt_history.docx.md
      • team_task_list.csv
      planted error 22 min 3 min
5. Week 5

   Week 5 · Agriculture & Agri-Input Operations

   This profession

   1. Check the AI's pest recommendation against the registered label watch this one

      Check an AI pest advice note for summer green gram against the CIB and RC registered-use printout - before it goes out to forty growers on WhatsApp

      • cibrc_registered_use_printout.pdf.md
      • company_advisory_sop.pdf.md
      • dealer_stock_position.csv
      • field_scouting_sheet.csv
      • godown_pack_label.pdf.md
      • group_ai_screenshot.txt
      planted error 24 min 3 min

   2. Refuse the tank mix that saves a spray round

      Rule on an AI tank-mix suggestion for kharif sesame before the sprayer is filled - and give the grower a compatibility answer, not a referral

      • cibrc_label_extract_herbicide.pdf.md
      • cibrc_label_extract_insecticide.pdf.md
      • company_tank_mix_annexure.pdf.md
      • grower_ai_screenshot.txt
      • incident_file_sesame.pdf.md
      planted error 23 min

   3. Compute the pre-harvest interval to the buyer's limit, not India's

      Recompute the harvest date for an EU-bound chilli lot - after an AI clears it against the Indian residue limit and cuts the interval to fit the vessel

      • buyer_specification_rotterdam.pdf.md
      • cibrc_label_extract.pdf.md
      • field_assistant_ai_note.txt
      • lab_residue_report.pdf.md
      • shipping_and_booking_note.pdf.md
      • spray_register_contract_block.csv
      planted error 25 min 3 min
6. Week 6

   Week 6 · Agriculture & Agri-Input Operations

   This profession

   1. Verify the credit and insurance file against the land record

      Check thirty-eight AI-drafted KCC renewal and crop insurance files against the land record and the crop actually sown - then refuse the batch that does not match

      • ai_drafted_applications.xlsx
      • bank_los_checklist.pdf.md
      • district_audit_note.pdf.md
      • farmer_declarations_and_seed_bills.pdf.md
      • jamabandi_girdawari_extract.pdf.md
      • scheme_guidelines_extract.pdf.md
      planted error 24 min

   2. Ground-truth the NDVI flag with a crop cutting experiment

      Ground-truth a low-NDVI drought flag on a Thanjavur paddy plot with a geo-tagged crop cutting experiment - before anyone files a loss claim against it

      • ai_flag_recommendation.txt
      • block_rainfall_log.csv
      • cce_protocol_extract.pdf.md
      • farmer_registry_extract.csv
      • ndvi_dashboard_export.csv
      • plot_sketch_tn_tha_0442.pdf.md
      planted error 25 min 3 min
7. Week 7

   Week 7 · Agriculture & Agri-Input Operations

   This profession

   1. Send the advisory to four hundred farmers with the units right

      Turn an AI-drafted fertiliser advisory into a broadcast for four hundred farmers - with no wrong unit, no wrong dose and no unsourced instruction left in it

      • ai_advisory_draft.txt
      • cluster_profile_note.pdf.md
      • company_advisory_sop.pdf.md
      • farmer_group_list.csv
      • soil_health_card_extract.pdf.md
      planted error 23 min

   2. Reconcile the dealer's stock before the return is filed

      Reconcile a fertiliser dealer's POS sales against physical stock and file the movement return - with the buyer file never leaving the approved tool and the variance never plugged

      • ai_reconciliation_output.xlsx
      • company_data_handling_sop.pdf.md
      • dealer_pos_export.csv
      • physical_stock_count_sheet.pdf.md
      • previous_month_filed_return.pdf.md
      • purchase_invoices_summary.csv
      planted error 26 min 3 min
8. Week 8

   Week 8 · Dossier and evaluation

   Dossier and evaluation

   1. Advisory error log and one clean advisory

      A three-page PDF plus one working file.

   2. Rebuild an unseen farmer advisory from the label, the card and the circular

      A 25-minute proctored practical on an unseen folder with 5 seeded defects, then a 10-minute viva.

      25 min 10 min

What you’ll build

The dossier an employer reads.

How you’re assessed

Four axes, one unseen folder.

The certificate

What it says, and how it is checked.

Certificate of Achievement Certificate of Completion

How each one is earned

• Completion: every module of the course, done.
• Achievement: pass the final evaluation at 60 % or above.
• Distinction: 80 % or above on the same evaluation.

Certified with DistinctionCertifiedNot yet certified

Verify it like an employer would

An employer pastes the serial into the verify page and has an answer in seconds. This is what the specimen serial returns, and what a real one shows.

Serial checked PG-SPEC-IMEN-AGR0-0000

Not a credential

A specimen serial is refused on every verification route - by design, it fails the checksum before any record is read.

A real certificate shows

• Whether it is valid, or has been revoked
• Who it was issued to, for which course and level
• The date it was issued, and the score
• Links to the PDF, the badge image and the machine-readable credential

Open the verify page

Add to profile

One click puts a real certificate on LinkedIn with the serial and the verify link attached. Preview only - the button appears on your certificate page.

Name

AICP · Agriculture & Agri-Input Operations

Issuer

PrepGraph

Credential ID

PG-SPEC-IMEN-AGR0-0000

Credential URL

courses.prepgraph.com/verify/…

Add to LinkedIn profile

Preview. Nothing is sent from this page.

The four axes

Every evaluation is scored on the same four questions.

1. 1
   Output quality

   Is the deliverable correct, complete and in a form the employer could use unedited?

2. 2
   Errors caught

   How many of the seeded defects did the candidate find, and did they document each one?

3. 3
   Data safety

   Was personal or client data redacted before any AI tool saw it, and can the candidate show the substitution?

4. 4
   Judgment under uncertainty

   When the candidate could not verify something, did they escalate, ask, or invent?

Who teaches you

A tutor that reads the same files you do.

Questions

About this course

Related courses

Other desks on the same core.

• Every file is synthetic.

  All learner-facing material is synthetic. No real client ledgers, GSTINs, PANs, resumes, patient charts, MRNs or ABHA addresses appear anywhere.

• What the certificate is.

  Evidence of supervised AI competence in a named profession. This certificate makes no placement promise and must never be marketed as one.

• You pay once.

  There is no subscription, no auto-renewal and no card details stored. Your access runs for the term stated on the course page.

• The practical is proctored.

  The proctored practical and the viva are recorded (screen and camera). The recording is retained for 180 days, is replayed only on a human-review trigger, and is released to no employer.