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PROGRAM 15 · TEAM TRAINING

AI & Data for Real Estate Professionals

List faster, follow up better, and close more deals.

8 sessions3 modules4 hands-on projects3 days · 9 am–5 pmCertificate on completion
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Who this course is for

  • Sales Managers, sales executives and property consultants
  • Marketing and digital teams at developers and agencies
  • Customer relations, booking and installment collection teams
  • Project, land and legal documentation coordinators

What your team will be able to do

  • Write listings, brochures and property ads in Bangla and English
  • Reply to enquiries and follow up site visits without losing leads
  • Clean lead, booking and installment data and analyse the sales pipeline
  • Deploy four working automations in your own real estate 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 real estate work

9:00–10:30S1Prompt engineering for real estate
10:30Tea break
10:45–12:15S2Listings, brochures & marketing
12:15Lunch & prayer
1:00–2:30S3Client follow-up & after-sales
2:45–4:30LABBuild lab: listings and follow-up sequence on your files
4:30–5:00Q&A and day recap

Day 2

9:00 am – 5:00 pm

Pipeline analysis, then the first two builds

9:00–10:30S4Formulas & real estate data cleaning
10:30Tea break
10:45–12:15S5Pipeline, collections & market analytics
12:15Lunch & prayer
1:00–2:30S6Project 01 & 02: Sales assistant & tracker
2:45–4:30LABBuild lab: pipeline 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: Booking & discount approval
10:30Tea break
10:45–12:15S8Project 04: Booking & receipt 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 Real Estate WorkSessions 1–3

Chatbot Landscape & Tool Selection

  • Gemini, ChatGPT, Claude, Copilot and DeepSeek: strengths for real estate work (property descriptions, Bangla replies, area research, booking 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 sales manager, property consultant, customer relations officer or project marketing lead
  • Controlling output: length, tone, language, table or bullet format

Advanced Prompting Techniques

  • Few-shot prompting: teaching the model with examples of your own real estate work
  • Step-by-step reasoning for multi-part tasks such as comparing three flat options for a buyer or working out an installment schedule
  • Constraint prompting: what to include, what to exclude, what to never assume
  • Chained prompts: breaking a project launch (buyer persona → key features → brochure copy → ads → follow-up sequence) 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 real estate tasks
  • Testing a prompt before it goes into daily use

Data Privacy & Verification Discipline (Core)

  • What must never be pasted: buyer names, phones and NID details, land owner agreements, deed and mutation documents, negotiated prices and discounts, bank loan files
  • Anonymising data before prompting; safe vs unsafe real estate 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 real estate tasks.
PART 2Real Estate 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

Project & Sales Policy Assistant

Sales consultants and customer relations staff ask about projects, payment plans and booking rules and get answers with the section cited.

  1. INFact sheets & booking policy
  2. AIGrounded Gemini assistant
  3. OUTAnswer with the section cited
Built with Google AI Studio
02Session 6

Approval & Installment Deadline Tracker

Plan approvals, land owner milestones, buyer installments and licence renewals checked daily, with alerts 30, 15 and 7 days ahead.

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

Booking & Discount Approval Workflow

Bookings routed to the sales manager, then the director above a discount threshold, with units already held or sold blocked.

  1. INBooking request form
  2. RULESMake approval routing
  3. OUTUnit booked in inventory sheet
Built with Make · Forms · Sheets
04Session 8

Booking & Payment Receipt Extraction

Booking forms, money receipts and deposit slips become clean rows, each payment matched to the right buyer and installment.

  1. INBooking forms & receipts
  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 Real Estate

Fairness & Non-Discrimination

  • Where bias enters real estate 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 buyer, land owner and lead data

Honest Selling & Buyer Protection

  • No misleading claims about approvals, land title, location or handover dates
  • Clear disclosure of total price, charges and payment terms

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 real estate 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 real estate tasks
  • Write listings, brochures and ads that are accurate and persuasive
  • Run enquiry replies, follow-ups and installment reminders consistently
  • Clean lead and installment data and build a pipeline and collection 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

Five bilingual listings, a brochure draft and an ad campaign plan
A follow-up sequence, booking letters and installment reminders
A pipeline and collection dashboard
A grounded project & sales policy assistant your colleagues can use
A project approval & installment deadline tracker that reaches the right owner
Four deployed automations running in your own organisation
A written AI use policy for your own sales or project 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
Real Estate tools
WhatsApp BusinessMeta Ads Manager & Ads LibraryLooker Studio

What participants need

  • A laptop with Excel and a Google account
  • Basic Excel comfort (VLOOKUP, Pivot Tables) and a sample lead or installment sheet
  • 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 sales 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 sales 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