Sales & Marketing

AI for Sales & Growth

BBA / BA / B.Com graduates into inside sales, digital marketing, e-commerce ops, support

Run the campaign, read the export, defend the cost per lead — and know what each ad set was really counting.

  • 8 weeks
  • 8.8 hours of tutoring
  • 23 lessons
  • Certificate
  • English
Lesson preview

A scripted preview narrated by the platform voice on the real exhibit. A recorded session replaces it once one is published. Space or K plays and pauses; the arrow keys skip five seconds; C toggles captions.

Transcript
  1. Seven in the evening on a Friday at Vriksha Interiors, a 22-person modular kitchen studio in Malviya Nagar, Jaipur. The founder, Meenal Saraf, has run every rupee of ad spend through an agency until now. She has taken it in-house. The agency was billing Rs 40,000 a month to deliver leads at "under Rs 150".
  2. Campaign ends tonight. I want one number on Monday morning and I want to be able to argue with it. The agency's number was Rs 150 a lead. Tell me whether we beat it, and if you tell me we beat it, be ready for me to open Ads Manager and check while you are still sitting there.
  3. The assistant says: The AI summary leads with "Cost per lead Rs 96, comfortably inside the Rs 150 benchmark - 155 leads generated on Rs 14,880 of spend." The arithmetic is internally clean, which is what makes it dangerous. It has added 89 instant-form leads to 66 messaging conversations started, called the total 155 leads, and divided the whole campaign spend by it.
  4. The results indicator column in the ad-set export says On-Facebook leads for three ad sets and Messaging conversations started for the fourth. The lead form download has 89 rows and no more, so there is nowhere for 155 people to have come from. The fourth ad set spent Rs 3,720 and contributed zero rows to that file.
  5. Read what each ad set was counting before you divide spend by results. Mixed results make a fake denominator.

"₹96 per lead" — until you read what each ad set was counting.

What you’ll be able to do

The job, task by task.

  1. 1Take a 240-row raw lead dump. Dedupe it against the CRM, then enrich it. Hand your manager 200 leads where every email and designation carries a named source.
  2. 2Draft 40 personalised cold emails from a product sheet. Hand them in with a claims-verification log. It must trace every factual claim to a numbered source row.
  3. 3Run a Rs 15,000 Meta lead-gen campaign to the end of its flight. Then tie spend back to leads. Defend the cost per lead against the one number the founder already has.
  4. 4Take a festival offer to 4,200 customers on WhatsApp, with an SMS fallback. Get it out with no rejected template, no unregistered header, and no message to anyone who opted out.
  5. 5List 12 SKUs on Seller Central. Fix the titles, bullets and images that got two of them suppressed. Then work out why the bestseller lost the Buy Box to a reseller.
  6. 6Work a 40-ticket support queue with AI-drafted macros. Pull out the three tickets that a named human must handle before any reply goes out.
  7. 7Build the weekly revenue MIS across marketplace, website and offline. Walk into the Monday review with three decisions. You must defend each one from the numbers.
  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
  • Meta Ads Manager
  • WhatsApp Business
  • Seller Central
  • 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 · Sales & Growth

    This profession
    1. Build a 200-lead list you can defend

      Take a 240-row raw lead dump. Dedupe it against the CRM, then enrich it. Hand your manager 200 leads where every email and designation carries a named source.

      • ai_enriched_output.csv
      • expo_badge_scans_raw.csv
      • zoho_existing_accounts.csv
      planted error 24 min 3 min
    2. Forty cold emails with a claims log behind every line

      Draft 40 personalised cold emails from a product sheet. Hand them in with a claims-verification log. It must trace every factual claim to a numbered source row.

      • ai_draft_emails.docx.md
      • casestudy_srinivasa_medicals.pdf.md
      • prospect_list_40.csv
      • shilpkaar_product_sheet_v9.pdf.md
      planted error 25 min
    3. Defend a cost per lead your founder will argue with watch this one

      Run a Rs 15,000 Meta lead-gen campaign to the end of its flight. Then tie spend back to leads. Defend the cost per lead against the one number the founder already has.

      • ads_manager_export_adset.csv
      • ai_campaign_summary.docx.md
      • lead_form_downloads.csv
      planted error 26 min 3 min
  6. Week 6

    Week 6 · Sales & Growth

    This profession
    1. Ship a festival broadcast that clears template review

      Take a festival offer to 4,200 customers on WhatsApp, with an SMS fallback. Get it out with no rejected template, no unregistered header, and no message to anyone who opted out.

      • ai_broadcast_plan.docx.md
      • consent_and_optout_register.csv
      • sms_header_registry.pdf.md
      • wa_template_policy_extract.pdf.md
      planted error 25 min
    2. Repair twelve broken listings and win the Buy Box back

      List 12 SKUs on Seller Central. Fix the titles, bullets and images that got two of them suppressed. Then work out why the bestseller lost the Buy Box to a reseller.

      • ai_listing_copy_draft.docx.md
      • seller_central_listing_report.csv
      • sku_spec_sheet_master.xlsx
      • warranty_policy_2026.pdf.md
      planted error 24 min 3 min
  7. Week 7

    Week 7 · Sales & Growth

    This profession
    1. Clear forty tickets and refuse to automate three

      Work a 40-ticket support queue with AI-drafted macros. Pull out the three tickets that a named human must handle before any reply goes out.

      • ai_macro_set.docx.md
      • escalation_policy_1page.pdf.md
      • freshdesk_queue_40.csv
      • past_tickets_pasted_as_examples.txt
      planted error 23 min
    2. Build the weekly revenue MIS and take three decisions from it

      Build the weekly revenue MIS across marketplace, website and offline. Walk into the Monday review with three decisions. You must defend each one from the numbers.

      • ai_mis_commentary.docx.md
      • marketplace_settlement_week37.csv
      • mis_template_week36.xlsx
      • website_and_offline_orders.xlsx
      planted error 25 min 3 min
  8. Week 8

    Week 8 · Dossier and evaluation

    Dossier and evaluation
    1. Campaign dossier with claims log

      A three-page PDF plus one working file.

    2. Take an AI outreach set back to the product sheet before any of it goes out

      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.

Campaign dossier with claims log

A three-page PDF plus one working file.

An employer reads it in 180 seconds.

How you’re assessed

Four axes, one unseen folder.

Take an AI outreach set back to the product sheet before any of it goes out A 25-minute proctored practical on an unseen folder, then a 10-minute viva. 5 seeded defects

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

  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?

Pass mark 60. Distinction from 80. Certified with DistinctionCertifiedNot yet certified

The certificate

What it says, and how it is checked.

Sample Certificate of Achievement for AI for Sales & Growth, watermarked SPECIMEN - not a credential.
SPECIMEN — not a credential Certificate of Achievement PDF

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-SLS0-0000

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 · Sales & Growth
Issuer
PrepGraph
Credential ID
PG-SPEC-IMEN-SLS0-0000
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.

A voice tutor, not a video. It reads the same files you do, points at the exhibit while it talks, and never lets an unverified number through.

  • It reads the same files you do.

    Every lesson opens on a synthetic client folder - a register, a ledger, a discharge summary - and the tutor talks about the actual cells and lines, circling them as it goes.

  • It plants one AI mistake in every lesson.

    A confident, wrong answer is in each lesson on purpose. You find the line that disproves it, say the rule out loud, and the tutor checks that you did.

  • It never lets an unverified number through.

    A figure with no source, a citation it cannot open, a claim it cannot trace: the tutor stops and asks, the way a good senior does.

What it is not

  • Not a human teacher, and it does not pretend to be one - it is PrepGraph’s voice tutor, and it says so.
  • Not a chatbot that marks its own work: mastery, verification and the certificate are decided by deterministic checks, not by the tutor’s opinion.
  • Not a placement service.
  • Evidence of supervised AI competence in a named profession. This certificate makes no placement promise and must never be marketed as one.

A scripted preview narrated by the platform voice on the real exhibit. A recorded session replaces it once one is published.

Questions

About this course

Who is this course for?

BBA / BA / B.Com graduates into inside sales, digital marketing, e-commerce ops, support

How are lessons taught?

By a voice tutor that reads the same files you do, points at the exhibit on the board, and never lets an unverified number through. Each lesson is about twenty minutes and plants one AI error for you to catch.

What do I need?

A laptop with a browser, a spreadsheet tool such as Excel or Google Sheets, and any chat AI. Every file you work on is synthetic.

What do I earn?

A Certificate of Completion when every module is done, and a Certificate of Achievement when you pass the certification assessment (pass mark 60, distinction at 80). Both are verifiable by serial number.

Does this certificate get me a job?

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

Is my data safe?

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

How is the evaluation run?

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.

Can I get a refund?

Refund terms are shown at checkout before you pay. There is no auto-renewal and no card details are stored.

Related courses

  • 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.

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