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PROGRAM 34 · TEAM TRAINING

AI & Data for Training & L&D Professionals

Design a training programme in a day, not a month.

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

  • L&D managers and training officers
  • Corporate trainers and facilitators
  • HR business partners responsible for capability building
  • Training centre, academy and NGO capacity-building teams

What your team will be able to do

  • Run a training needs analysis and turn results into priorities
  • Design a full course with objectives, sessions and materials in a day
  • Build assessments and measure training impact with data
  • Deploy four working automations for your learning 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 L&D work

9:00–10:30S1Prompt engineering for L&D
10:30Tea break
10:45–12:15S2Needs analysis & course design
12:15Lunch & prayer
1:00–2:30S3Content, assessments & communication
2:45–4:30LABBuild lab: course design on your own files
4:30–5:00Q&A and day recap

Day 2

9:00 am – 5:00 pm

Analysis, then the first two builds

9:00–10:30S4Formulas & training data cleaning
10:30Tea break
10:45–12:15S5Learning analytics & impact report
12:15Lunch & prayer
1:00–2:30S6Projects 01 & 02: Assistant and alerts
2:45–4:30LABBuild lab: impact 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: Training nomination approvals
10:30Tea break
10:45–12:15S8Project 04: Attendance & feedback forms
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 L&D WorkSessions 1–3

Chatbot Landscape & Tool Selection

  • Gemini, ChatGPT, Claude, Copilot and DeepSeek: strengths for L&D work (course outlines, session plans, case studies, quizzes, feedback analysis)
  • 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 an L&D manager, instructional designer, facilitator or training coordinator
  • Controlling output: length, tone, language, table or bullet format

Advanced Prompting Techniques

  • Few-shot prompting: teaching the model with examples of your own L&D work
  • Step-by-step reasoning for multi-part tasks such as mapping a competency gap to the right mix of classroom, on-the-job and online learning
  • Constraint prompting: what to include, what to exclude, what to never assume
  • Chained prompts: breaking a training module (needs → objectives → outline → session plan → activities → assessment) 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 L&D tasks
  • Testing a prompt before it goes into daily use

Data Privacy & Verification Discipline (Core)

  • What must never be pasted: employee names with performance ratings, individual assessment scores, salary data, disciplinary records, personal contacts
  • Anonymising data before prompting; safe vs unsafe L&D 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 L&D tasks.
PART 2L&D 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

Learning Policy & Catalogue Assistant

Employees and line managers ask about courses, nomination rules and bond policy and get an answer from your own documents, with the section cited.

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

Training & Certification Alert Engine

Training dates, mandatory training, certification renewals and training bond end dates checked daily, with alerts 30, 15 and 7 days ahead.

  1. INTraining calendar tracker
  2. RUNDaily Make scenario
  3. OUTAlert to the responsible owner
Built with Make · Sheets · Gmail
03Session 7

Training Nomination & Approval Workflow

Nominations routed to the line manager, L&D, then finance above a cost limit, with seats, waiting list and budget tracked.

  1. INTraining nomination form
  2. RULESApproval routing script
  3. OUTBatch list & joining instructions
Built with Apps Script · Forms
04Session 8

Attendance & Feedback Extraction

Scanned attendance sheets, feedback forms and certificates become clean rows, matched to the HR master, with expiring certificates flagged.

  1. INScanned sheets & forms
  2. AIGemini structured extraction
  3. OUTUpdated training records
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 L&D

Fairness & Non-Discrimination

  • Where bias enters L&D 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 learner, employee and trainer data

Fair Access, Honest Assessment & Learner Privacy

  • Fair access to training across gender, location and grade
  • Assessment results used for development, not hidden punishment

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 L&D 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 L&D tasks
  • Run a needs analysis and design a complete course in a day
  • Produce slides, job aids, quizzes and rubrics that match the objectives
  • Measure training delivery, learning and impact with clean data
  • 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 TNA survey and a course design template
A complete 1-day training module with content pack
A training effectiveness dashboard and impact report
A grounded learning policy & course catalogue assistant your colleagues can use
A training calendar & certification alert engine that reaches the right owner
Four deployed automations running in your own organisation
A written AI use policy for your own L&D 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
L&D tools
Google Forms quizzesLMS exportsCanvaGammaLooker Studio

What participants need

  • A laptop with Excel and a Google account
  • Basic Excel comfort and one existing course outline or training record file
  • 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 L&D 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 L&D 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