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PROGRAM 12 · TEAM TRAINING

AI & Data for Educators & Education Administrators

Plan lessons in minutes, give better feedback, and run the school smarter.

Important: Student data, results and personal details are protected. AI supports teachers and administrators; decisions about a student's marks, promotion, admission or discipline are always made by a person.

8 sessions3 modules4 hands-on projects3 days · 9 am–5 pmCertificate on completion
CHOOSE A FORMAT
Request a proposalSee the curriculum

Who this course is for

  • School, college and madrasa teachers and heads of department
  • Principals, vice principals and academic coordinators
  • University faculty, coaching centre and training institute staff
  • Admin, admission, accounts and exam office teams in education institutions

What your team will be able to do

  • Plan lessons, worksheets and question banks aligned to the curriculum
  • Give faster, fairer feedback with rubrics and AI-assisted comments
  • Clean and analyse attendance, results and fee data to support students early
  • Deploy four working automations in your own institution
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 education work

9:00–10:30S1Prompt engineering for education
10:30Tea break
10:45–12:15S2Lesson planning & inclusive teaching
12:15Lunch & prayer
1:00–2:30S3Assessment, feedback & communication
2:45–4:30LABBuild lab: lesson plans and question bank for your class
4:30–5:00Q&A and day recap

Day 2

9:00 am – 5:00 pm

Results analysis, then the first two builds

9:00–10:30S4Formulas & student data cleaning
10:30Tea break
10:45–12:15S5Results analytics & early support
12:15Lunch & prayer
1:00–2:30S6Project 01 & 02: Policy assistant & alerts
2:45–4:30LABBuild lab: results 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: Leave & student requests
10:30Tea break
10:45–12:15S8Project 04: Admission & fee 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 Education WorkSessions 1–3

Chatbot Landscape & Tool Selection

  • Gemini, ChatGPT, Claude, Copilot and DeepSeek: strengths for education work (lesson plans, Bangla and English worksheets, rubrics, result 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 class teacher, subject teacher, academic coordinator or exam controller
  • Controlling output: length, tone, language, table or bullet format

Advanced Prompting Techniques

  • Few-shot prompting: teaching the model with examples of your own education work
  • Step-by-step reasoning for multi-part tasks such as building a balanced question paper by chapter and difficulty or comparing two sections' results
  • Constraint prompting: what to include, what to exclude, what to never assume
  • Chained prompts: breaking a full unit plan (learning outcomes → lessons → activities → worksheet → test → rubric) 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 education tasks
  • Testing a prompt before it goes into daily use

Data Privacy & Verification Discipline (Core)

  • What must never be pasted: student names with marks, roll numbers, guardian phone numbers, health or family information, unreleased exam questions, staff salary data
  • Anonymising data before prompting; safe vs unsafe education 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 education tasks.
PART 2Education 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

School Policy & Handbook Assistant

Teachers and office staff ask about exam rules, admission or fee policy and get answers from your handbook, with the section cited.

  1. INCalendar, rules & handbook
  2. AIGrounded Gemini assistant
  3. OUTAnswer with the section cited
Built with Google AI Studio
02Session 6

Academic Calendar & Compliance Alerts

Exam, result, board registration, recognition and renewal dates checked daily, with alerts 30, 15 and 7 days ahead.

  1. INAcademic calendar sheet
  2. RUNDaily Make scenario
  3. OUTAlert to the right owner
Built with Make · Sheets · Gmail
03Session 7

Leave & Student Request Workflow

Staff leave and student requests routed to the class teacher or head of department, then the principal, with substitute teacher suggestions.

  1. INLeave & request form
  2. RULESApproval routing script
  3. OUTLogged request with tasks
Built with Apps Script · Forms
04Session 8

Admission Form & Fee Receipt Extraction

Admission forms, fee receipts and bKash slips become clean rows, matched against the fee schedule, with duplicates and short payments flagged.

  1. INAdmission forms & receipts
  2. AIGemini structured extraction
  3. OUTChecked rows for the office
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 Education

Fairness & Non-Discrimination

  • Where bias enters education 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 student, guardian and staff data

Student Wellbeing & Academic Integrity

  • Children's data gets the highest level of protection and the least sharing
  • AI flags students for support, never for punishment or labelling

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 education 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 education tasks
  • Plan lessons, worksheets and differentiated materials in minutes
  • Build question banks, rubrics and parent communication templates
  • Clean result and attendance data and flag students who need early support
  • 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 week of lesson plans with three-level worksheets
A question bank, rubric and parent notice set
A results and early-support dashboard for one class
A grounded school policy & academic handbook assistant your colleagues can use
A academic calendar & compliance alert engine that reaches the right owner
Four deployed automations running in your own organisation
A written AI use policy for your own school or department

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
Education tools
Google ClassroomGoogle Forms quizzesNotebookLMLooker Studio

What participants need

  • A laptop with Excel and a Google account
  • Basic Excel or Sheets comfort and a masked result or attendance sheet from your class
  • 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 school

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 school 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