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PROGRAM 42 · TEAM TRAINING

AI & Data for Job Seekers

Get noticed, get interviews, get hired, with AI on your side.

Who books it: University career services, career clubs, youth employment programmes, NGOs and training institutes, for cohorts of final-year students, fresh graduates and career switchers.

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

  • Final-year students and fresh graduates
  • Career switchers and people returning to work after a break
  • Candidates preparing for bank, corporate, NGO and BCS recruitment
  • University career service and placement officers

What your team will be able to do

  • Write an honest, ATS-friendly CV tailored to each job
  • Prepare for interviews with AI mock practice and an answer bank
  • Show basic Excel and AI skills employers now ask for
  • Deploy four working automations for your job search or career centre
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 your job search

9:00–10:30S1Prompt engineering for career work
10:30Tea break
10:45–12:15S2CVs, cover letters & LinkedIn
12:15Lunch & prayer
1:00–2:30S3Interview practice & workplace skills
2:45–4:30LABBuild lab: CV and prompt library 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 & job search data cleaning
10:30Tea break
10:45–12:15S5Career analytics & search strategy
12:15Lunch & prayer
1:00–2:30S6Project 01 & 02: Career assistant & alerts
2:45–4:30LABBuild lab: job tracker, 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: CV review & referral workflow
10:30Tea break
10:45–12:15S8Project 04: Job circular 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 Career WorkSessions 1–3

Chatbot Landscape & Tool Selection

  • Gemini, ChatGPT, Claude, Copilot and DeepSeek: strengths for career work (CV wording, cover letters, interview practice, job post summaries, Excel formulas)
  • 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 recruiter, HR manager, interview panel member or career counsellor
  • Controlling output: length, tone, language, table or bullet format

Advanced Prompting Techniques

  • Few-shot prompting: teaching the model with examples of your own career work
  • Step-by-step reasoning for multi-part tasks such as matching your experience to a job's requirements or comparing two offers
  • Constraint prompting: what to include, what to exclude, what to never assume
  • Chained prompts: breaking a tailored application (read the post → map your evidence → CV edits → cover letter → follow-up) 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 career tasks
  • Testing a prompt before it goes into daily use

Data Privacy & Verification Discipline (Core)

  • What must never be pasted: NID and passport numbers, full date of birth with address, exam roll and registration numbers, references' phone numbers, salary slips, other candidates' details
  • Anonymising data before prompting; safe vs unsafe career 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 career tasks.
PART 2Career 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

Career Document Assistant

You, your mentor or career centre students get answers from your master CV, achievements log and circulars, with the section cited.

  1. INCV, job posts & circulars
  2. AIGrounded Gemini assistant
  3. OUTAnswer with the section cited
Built with Google AI Studio
02Session 6

Application Deadline Alert Engine

Application deadlines, test and interview dates, admit card windows and follow-ups checked daily, with alerts 30, 15 and 7 days ahead.

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

CV Review & Referral Request Workflow

CVs are routed to a counsellor by department, Gemini drafts first feedback, and the approved feedback reaches the student with a resubmission link.

  1. INCV & target job form
  2. RULESCounsellor routing script
  3. OUTApproved feedback by email
Built with Apps Script · Forms
04Session 8

Job Circular Extraction Pipeline

Circulars and saved posts become clean rows of post, qualifications, age limit and deadline, each matched against your profile.

  1. INJob circulars & notices
  2. AIGemini structured extraction
  3. OUTEligibility-checked rows
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 Career

Fairness & Non-Discrimination

  • Where bias enters career 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 candidate, student and referee data

Honesty & Fair Hiring

  • Never using AI to fabricate experience, certificates or references
  • Knowing that AI screening tools can be biased, and how to keep your CV readable to people

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 career 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 career tasks
  • Write an honest, tailored CV, cover letter and LinkedIn profile
  • Prepare for interviews and tests with AI practice and an answer bank
  • Track applications and skill demand in a clean job search 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 master CV, a tailored CV and a cover letter
A rewritten LinkedIn profile and a 15-answer interview bank
A job search dashboard and a 30-day job plan
A grounded career document assistant your colleagues can use
A application deadline alert engine that reaches the right owner
Four deployed automations running in your own organisation
A written AI use policy for your own job search or career centre

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
Career tools
LinkedInBDJobsGoogle Docs CV templatesCanva resume templates

What participants need

  • A laptop with Excel and a Google account
  • A current CV (any format) and two or three job posts you want to apply for
  • 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 career centre 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 career centre 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