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PROGRAM 31 · TEAM TRAINING

AI & Data for Project Managers

Plans, reports and meetings in half the time. Projects that finish on time.

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

  • Project and programme managers
  • PMO staff, project coordinators and planners
  • Team leads running IT rollouts, construction or donor-funded projects
  • Monitoring and reporting officers in NGOs and development programmes

What your team will be able to do

  • Draft charters, WBS, risk registers and plans from a brief
  • Turn meetings into minutes, decisions and action trackers
  • Track schedule, cost and issues and report status with confidence
  • Deploy four working automations for your project office
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 project management work

9:00–10:30S1Prompt engineering for project management
10:30Tea break
10:45–12:15S2Charters, scope, WBS & risk
12:15Lunch & prayer
1:00–2:30S3Meetings, status reports & stakeholders
2:45–4:30LABBuild lab: charter 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 & project data cleaning
10:30Tea break
10:45–12:15S5Project analytics & management narrative
12:15Lunch & prayer
1:00–2:30S6Projects 01 & 02: Assistant and 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: Change request approvals
10:30Tea break
10:45–12:15S8Project 04: Progress & 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 Project Management WorkSessions 1–3

Chatbot Landscape & Tool Selection

  • Gemini, ChatGPT, Claude, Copilot and DeepSeek: strengths for project management work (plans and WBS, meeting summaries, status reports, schedule and cost 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 project manager, PMO analyst, planner or M&E officer
  • Controlling output: length, tone, language, table or bullet format

Advanced Prompting Techniques

  • Few-shot prompting: teaching the model with examples of your own project management work
  • Step-by-step reasoning for multi-part tasks such as re-planning a schedule after a two-week supplier delay
  • Constraint prompting: what to include, what to exclude, what to never assume
  • Chained prompts: breaking a project charter (objective → scope → deliverables → WBS → milestones → risks) 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 project management tasks
  • Testing a prompt before it goes into daily use

Data Privacy & Verification Discipline (Core)

  • What must never be pasted: client contracts and pricing, tender values, staff appraisals, donor confidential budgets, system passwords
  • Anonymising data before prompting; safe vs unsafe project management 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 project management tasks.
PART 2Project Management 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 Governance Assistant

Team members ask "is this in scope?" and get an answer from your charter, contract scope and PMO methodology, with the section cited.

  1. INCharter, contract & PMO method
  2. AIGrounded Gemini assistant
  3. OUTAnswer with the section cited
Built with Google AI Studio
02Session 6

Milestone & Contract Alert Engine

Milestones, contract renewals, guarantees, permits and donor reporting deadlines checked daily, with alerts 30, 15 and 7 days ahead.

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

Change Request Approval Workflow

Change requests routed to the project manager, then the sponsor above a cost or delay threshold, and written to the change log.

  1. INChange request form
  2. RULESApproval routing in Make
  3. OUTUpdated change log & baseline
Built with Make · Forms · Sheets
04Session 8

Progress Report & Invoice Extraction

Contractor progress reports and invoices become clean rows, checked against the plan and contract value, with over-claims and duplicates flagged.

  1. INProgress reports & 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 Project Management

Fairness & Non-Discrimination

  • Where bias enters project management 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 team member, contractor and stakeholder data

Honest Reporting & Accountability

  • Reporting real status, not the status sponsors want to hear
  • Fair performance comments on team members and contractors

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 project management 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 project management tasks
  • Draft charters, WBS, risk registers and plans from a brief
  • Run meetings and produce status reports in half the time
  • Track schedule, cost and risk and report project health honestly
  • 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 project charter, WBS, RACI and risk register template set
Meeting minutes, action tracker and status report templates
A project status dashboard with schedule and cost views
A grounded project governance assistant your colleagues can use
A project milestone & contract alert engine that reaches the right owner
Four deployed automations running in your own organisation
A written AI use policy for your own project office

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
Project Management tools
MS ProjectTrelloJira exportsLooker Studio

What participants need

  • A laptop with Excel and a Google account
  • Basic Excel comfort and the plan, schedule or status file of one current project
  • 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 project office

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 project office 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