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PROGRAM 04 · TEAM TRAINING

AI & Data for Marketing Professionals

Plan campaigns faster, create more content, and prove what is working with data.

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

  • Brand, Marketing and Product Managers
  • Digital marketing, social media and content teams
  • Market research and trade marketing teams
  • Marketing teams in FMCG, telecom, banking, e-commerce, real estate and agencies

What your team will be able to do

  • Turn a brief into a full campaign plan, copy and visuals in hours
  • Produce social posts, ad copy and short video without a design team
  • Clean and analyse campaign, sales and survey data with AI help
  • Deploy four working automations in your own marketing 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 campaigns and content

9:00–10:30S1Prompt engineering for marketing
10:30Tea break
10:45–12:15S2Campaign planning & copywriting
12:15Lunch & prayer
1:00–2:30S3Content studio: visuals, decks & video
2:45–4:30LABBuild lab: campaign plan and creatives for your brand
4:30–5:00Q&A and day recap

Day 2

9:00 am – 5:00 pm

Analytics, then the first two builds

9:00–10:30S4Formulas & marketing data cleaning
10:30Tea break
10:45–12:15S5Marketing analytics & reporting
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: Content approval workflow
10:30Tea break
10:45–12:15S8Project 04: Lead & invoice 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 Marketing WorkSessions 1–3

Chatbot Landscape & Tool Selection

  • Gemini, ChatGPT, Claude, Copilot and DeepSeek: strengths for marketing work (long-form copy, Bangla captions, research summaries, data 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 brand manager, digital marketer, copywriter or market researcher
  • Controlling output: length, tone, language, table or bullet format

Advanced Prompting Techniques

  • Few-shot prompting: teaching the model with examples of your own marketing work
  • Step-by-step reasoning for multi-part tasks such as splitting a campaign budget across channels or comparing three agency proposals
  • Constraint prompting: what to include, what to exclude, what to never assume
  • Chained prompts: breaking a full campaign plan (insight → idea → channels → calendar → copy) 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 marketing tasks
  • Testing a prompt before it goes into daily use

Data Privacy & Verification Discipline (Core)

  • What must never be pasted: customer phone and email lists, unpublished prices and launch plans, agency rates, ad account passwords, sales targets
  • Anonymising data before prompting; safe vs unsafe marketing 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 marketing tasks.
PART 2Marketing 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

Brand & Marketing Policy Assistant

Sales, support and agency colleagues ask about brand rules, pricing or products and get an answer with the section cited.

  1. INBrand guideline & catalogue
  2. AIGrounded Gemini assistant
  3. OUTAnswer with the section cited
Built with Google AI Studio
02Session 6

Campaign & Contract Alert Engine

Launch dates, agency and influencer contracts, domain and ad account renewals checked daily, with alerts 30, 15 and 7 days ahead.

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

Content & Campaign Approval Workflow

Requests routed to the brand manager, then finance above a budget threshold, with approved items written to the content calendar.

  1. INContent request form
  2. RULESMake approval routing
  3. OUTApproved item in the calendar
Built with Make · Forms · Sheets
04Session 8

Lead & Invoice Extraction Pipeline

Lead forms, business cards and agency invoices become clean rows, with duplicate checks and invoices matched to the approved budget.

  1. INLead forms, cards & invoices
  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 Marketing

Fairness & Non-Discrimination

  • Where bias enters marketing 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 customer, lead and survey respondent data

Honest Marketing & Consumer Trust

  • No fake reviews, fake scarcity or misleading 'limited offer' claims
  • Clearly labelling AI-generated images and influencer partnerships

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 marketing 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 marketing tasks
  • Turn a business goal into a campaign plan, copy and calendar
  • Produce ad creatives, carousels and short video without a design team
  • Clean campaign and sales data and build a marketing 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 4-week campaign plan and a brand voice guide
A content set: ad creatives, carousel and reel
A marketing dashboard with commentary you can defend number by number
A grounded brand & marketing policy assistant your colleagues can use
A campaign & contract alert engine that reaches the right owner
Four deployed automations running in your own organisation
A written AI use policy for your own marketing 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
Marketing tools
Meta Ads Manager & Ads LibraryGoogle AdsLooker Studio

What participants need

  • A laptop with Excel and a Google account
  • Basic Excel comfort (VLOOKUP, Pivot Tables) and access to your page or ad reports
  • 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 marketing 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 marketing 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