Artificial IntelligenceBeginnerContent updated Oct 2026

AI in the Workplace

Save real time on emails, reports, documents and spreadsheets with ChatGPT, Claude, Gemini and Copilot — and leave with the checks and team rules that keep AI from embarrassing you.

Duration: 2 days
Format: Hands-on workshop
Level: Beginner
Mode: On site, Lalitpur or live online

About this course

A two-day, hands-on course in using generative AI on the work you already do — emails, reports, documents, spreadsheets and research — in English and Nepali, with the checks that stop a confident wrong answer reaching your manager or your client. Built for whole teams taken together, and run as open batches for individuals.

Who this is for

Teams that want to use AI the same, safe way — taken together
Office, admin, HR, finance and operations staff
Managers who need to set ground rules for AI in their team
Anyone using ChatGPT already and wanting better, safer results

What you’ll be able to do

Explain what generative AI does well, and the ways it is confidently wrong
Write prompts that turn rough notes into usable emails, minutes and reports
Draft and translate in English and Nepali, and check the result
Summarise, compare and pull key points out of long documents
Use AI with spreadsheets for formulas, summaries and first-pass analysis
Check facts, numbers and references before relying on an answer
Know what must never be pasted into an AI tool, and why
Build a reusable assistant and a prompt library for your role

Tools you’ll use

ChatGPT
Claude
Google Gemini
Microsoft Copilot
Copilot in Excel
Custom GPTs, Projects & Gems
A no-code automation tool

Curriculum

The complete content, exactly as taught. Download it as a PDF.

Day 1 · 1How generative AI works, and where it fails4 topics

What a large language model is, in plain words
Why confident answers can be wrong: hallucination and stale knowledge
ChatGPT, Claude, Gemini and Copilot: what each is good for
Accounts, data settings and what your licence covers

Day 1 · 2Prompting your real recurring tasks5 topics

Role, context, task, format: a pattern that works
Emails, letters and notices in English and Nepali
Minutes from meeting notes
Reports from rough notes and bullet points
Iterating instead of starting over

Day 1 · 3Documents and spreadsheets5 topics

Summarising long documents and PDFs
Comparing versions and extracting key points
Turning messy text into tables
AI with Excel: formulas, summaries and Copilot in Excel
Checking every number AI gives you

Day 1 · 4Checking before you trust5 topics

Fact-checking and finding the source
Spotting invented references, quotes and figures
Checking translations and tone
Bias in AI output
Deciding where a human must stay in the loop

Day 2 · 1Safe and responsible use4 topics

What never to paste: personal, client and financial data
Confidentiality and Nepal’s Individual Privacy Act, 2075
Account and data-sharing settings that matter
AI-generated scams and fake messages: how to spot them

Day 2 · 2Reusable assistants and prompt libraries3 topics

Custom GPTs, Claude Projects and Gemini Gems
A prompt library for each role in the team
Sharing assistants safely inside a team

Day 2 · 3A first no-code automation3 topics

Which repetitive work is worth automating
A guided first automation: form or email to a spreadsheet, with an AI step
Knowing when to stop and call an engineer

Day 2 · 4Your team’s ground rules and project3 topics

Drafting the team AI policy: tools, data, review and disclosure
Redesigning one recurring task and measuring the time saved
Presenting and agreeing next steps

Your project

Each participant redesigns one recurring task from their own job with AI — the prompts, the checks and a before/after time estimate — and the group writes its own team AI policy: approved tools, data rules, review steps and disclosure.

Where you’ll use this

Drafting emails, letters, notices and minutes in minutes, not hours
Summarising reports, policies and long documents
First-pass analysis and formulas in Excel
Translating and checking English–Nepali drafts
Writing your team’s AI policy before something goes wrong

Before you start

None. Comfort with email, documents and spreadsheets is enough. Bring a laptop and, if you have one, the AI account your organisation provides.

Who teaches it

The course is designed and taught by data and AI practitioners — people who build data pipelines, dashboards and AI systems for businesses — so every exercise reflects how the tool is used on real work.

Certificate

You receive a GeXOn Training Center certificate when you complete the course and its project.

Every certificate carries an ID that employers can check at trainingcenter.gexonai.com/verify.

Frequently asked questions

Is this for technical people?

No. It’s built for people who work with documents, email and spreadsheets. No coding at any point.

Which AI tools do we use?

ChatGPT, Claude, Gemini and Microsoft Copilot — and whichever one your organisation has already approved. The skills carry across tools; we show the differences that matter.

Do I need a paid AI account?

No. Free accounts cover almost everything. If your organisation provides Copilot or ChatGPT Team, bring it and we’ll use it.

Is it taught in Nepali?

In English or Nepali, or both — and you’ll practise drafting and translating in both languages.

What does it cost, and when is the next batch?

We share the fee and schedule when we confirm your batch. Register below and we’ll contact you within one working day — registering doesn’t commit you to anything.

Can we run it for our whole team?

Yes — that’s how it works best. We run it on site anywhere in Nepal or remotely, around your department’s real tasks. See corporate training.

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