AI · AIC-60

Prompt Engineering for Business

6 hours 1 days

Last updated 25 Sep 2026

Prompt Engineering for Business is a 6-hour training course by IT Genius Institute. Many people already use AI in their daily work, yet the results still miss the mark. They ask for revisions again and again, or they are not sure the answer is…

Training schedule

No public rounds are open right now — register your interest and we will contact you when the next round opens, or request an in-house session for your team.

Corporate training quote

Many people already use AI in their daily work, yet the results still miss the mark. They ask for revisions again and again, or they are not sure the answer is accurate enough to pass on. Most of the time the problem is not the tool but the way the work is requested. A good prompt is structured communication, a skill that works with every tool, whether Microsoft Copilot, ChatGPT, Gemini or Claude, and one that keeps its value as the tools change. This course teaches tool-agnostic principles, starting with how an LLM works from a working professional point of view, the Role, Context,

Task, Format, Constraints structure and the CO-STAR approach, zero-shot and few-shot techniques, step-by-step reasoning, output formatting and iterative prompting. Learners then apply them to real business work: drafting emails, summarizing reports and meetings, translating documents, and analyzing problems with 5 Why, a Fishbone Diagram, SWOT and a Decision Matrix. The course builds on this with prompt chaining and prompt templates for repetitive work, plus a checklist for checking the quality and risk of AI answers. It closes with a workshop that compiles a tested prompt library for your unit, ready to use the next day. (1 day, 6 hours, Beginner level.)

Objectives

Understand how an LLM works and why the prompt shapes the quality of the answer
Write structured prompts with Role, Context, Task, Format, Constraints and CO-STAR
Use zero-shot, few-shot, step-by-step reasoning and output formatting for accurate, consistent results
Refine prompts iteratively, having AI critique its own answer and ask for missing information first
Apply the same principles in Copilot, ChatGPT, Gemini and Claude while understanding how each tool differs
Apply prompts to documents, communication, analysis and problem solving in real work
Design prompt chains and prompt templates for repetitive work
Check and evaluate the quality of AI answers responsibly before using them

Who this course is for

Office staff in every function who write, summarize or analyze information regularly
Engineers and supervisors who prepare reports, analyze problems and communicate across departments
Managers who want AI to help prepare information for decisions
AI Champions who support AI use in their units
People already using AI who still get off-target results and repeated rework

Prerequisites

Has completed AI Literacy for Everyone or has some experience with generative AI tools
Comfortable using a computer and typing in Thai and English
No programming background required
Learners may bring examples of their own repetitive work to the workshop, with confidential data removed

Curriculum

Course Details

A 1-day course of 6 hours (09:00-16:00) that alternates short lectures with exercises, with roughly 70% hands-on time. Beginner level, and no programming background is required. The course focuses on tool-agnostic principles. Hands-on practice uses Microsoft 365 Copilot Chat as the main tool for data security, while ChatGPT, Google Gemini and Claude are demonstrated side by side by the instructor. Learners bring a Microsoft 365 account with Copilot Chat access, in line with their own organizational policy. App-specific use

in Word, Excel, PowerPoint, Outlook and Teams is covered in depth in the separate Microsoft 365 Copilot and Copilot Studio course. Assessment includes a 15-question pre-test and post-test, an evaluation of each prompt library for clarity, consistency and safety, and a post-course satisfaction survey. Learners take home a prompt cheat sheet, a checklist for checking AI answers and a tested prompt library, which can be stored in Microsoft Excel, a SharePoint List or Copilot Prompt Gallery, depending on what the organization has enabled.

Day 1: From Principles to a Department Prompt Library

Section 1: How LLMs Work, for Working Professionals

An overview of how large language models work, from a working professional point of view
Tokens and the context window, and how much information AI can take in at once
Next-word prediction and why AI answers differently each time
Why clear context matters more to answer quality than the tool itself

Section 2: The Structure of a Good Prompt

The Role, Context, Task, Format, Constraints framework and what each part does
The CO-STAR approach: Context, Objective, Style, Tone, Audience, Response
Choosing the framework that fits the nature of the work
Common mistakes in short, ambiguous prompts
Exercise: write an unstructured prompt and a structured one, then compare the results

Section 3: Core Techniques in Everyday Use

Zero-shot: direct instructions without examples, and the work it suits
Few-shot: giving examples to control the format and tone of the answer
Asking AI to reason step by step on tasks that need logic
Using delimiters to separate instructions from the content to be processed
Specifying the output format, such as a table, bullets or JSON
Exercise: refine a prompt with each technique and compare before and after

Section 4: Iterative Prompting

Refining a prompt step by step instead of rewriting it from scratch each time
Asking AI to critique and improve its own answer
Having AI ask for missing information before answering, so it guesses less
Exercise: refine a prompt for real work over several rounds until the output is usable

Section 5: One Principle, Many Tools

Demonstration of the same prompt in Copilot, ChatGPT, Gemini and Claude
Differences that affect everyday use: file attachments, web search and context size
Data considerations for each tool and choosing tools according to organizational policy
Why hands-on practice runs on Microsoft 365 Copilot Chat for data security

Section 6: Prompts for Documents and Communication

Drafting emails to customers and suppliers in a tone that suits the recipient
Condensing long reports and daily reports down to what readers need to know
Summarizing meetings into key points, owners and follow-up actions
Translating between Thai, English and other languages while keeping technical terms accurate
Exercise: draft emails and summarize documents from real work scenarios

Section 7: Prompts for Analysis and Problem Solving

Using AI to trace the real root cause with 5 Why
Grouping the causes of a problem with a Fishbone Diagram
Assessing situations and options with SWOT and Pros and Cons
Comparing options against clear criteria with a Decision Matrix
Exercise: analyze a quality problem on a production line or a case study prepared by the instructor

Section 8: Prompt Chaining and Prompt Templates

Splitting large work into chained steps where each output feeds the next step
Designing prompt templates with variables that colleagues can reuse
Writing usage notes so others can use a template without having to ask
Exercise: turn one repetitive task into a prompt template

Section 9: Checking the Quality and Risk of AI Answers

A checklist for verifying accuracy before an answer is used
Checking sources and handling information the AI has made up
Spotting bias in answers and its effect on decisions
Information that should never go into AI and removing confidential data before use

Section 10: Workshop: Department Prompt Library

Select 5-10 repetitive tasks in your unit, from your own work or a case study prepared by the instructor
Write a prompt template for each task using the structures and techniques from the day
Test the templates in Copilot Chat and score the quality of the output
Evaluate the prompt set for clarity, consistency and safety
Workshop: compile a central prompt library for your unit to share across the organization

Frequently asked questions

Who is Prompt Engineering for Business for, and what background is needed?

Built for Office staff in every function who write, summarize or analyze information regularly · Engineers and supervisors who prepare reports, analyze problems and communicate across departments · Managers who want AI to help prepare information for decisions Background you should have: Has completed AI Literacy for Everyone or has some experience with generative AI tools · Comfortable using a computer and typing in Thai and English Not sure the fit is right? Talk to our team on LINE @itgenius or call 02-570-8449.

How much does Prompt Engineering for Business cost and how long does it run?

THB 4,500 (currently THB 4,050 on promotion). The course runs 6 hours. The fee covers course materials, lunch and refreshments throughout. Pay by bank transfer to the company account, confirm it on our payment page, and we can issue the receipt or tax invoice in your company's name.

Do I get a certificate?

Yes. Everyone who completes the course receives a Certificate of Completion from IT Genius Institute. Each certificate carries its own number, and anyone holding that number can verify it online on our certificate page, so you can add it to your portfolio or pass it to HR as evidence of training.

Where does the training take place, and is there an online option?

You can attend onsite at IT Genius Institute or arrange to join online, and we also run it as a private in-house session for your team. Ask about dates and venues on LINE @itgenius or call 02-570-8449.

What if I fall behind or miss a session — can I retake it?

Yes. You may retake the same course free of charge in a later round, under the institute's conditions. Tell our team which course and round you attended, and we will check it and offer you the rounds that still have seats. Ask us on LINE @itgenius or call 02-570-8449.

How do I enrol, or request a quotation for my company?

Enrol online with the registration form on this page. You can register several attendees at once and enter your tax ID and billing address for the tax invoice. Or request a company quotation straight from the quote button. For anything else call 02-570-8449 or reach us on LINE @itgenius.