ChatGPT for Work is a hands-on workshop on using ChatGPT for real tasks, from structured prompting and generating Word, Excel and PowerPoint files to building a Custom GPT. It suits office staff, sales and marketing teams and business owners who handle documents and email every day, and you leave with a Custom GPT your team can reuse.
ChatGPT has become a tool many people open every working day, yet most still use it one question at a time. Today it can read files, analyze data, produce Word, Excel and PowerPoint files, connect to email and calendars, carry out in-depth research and run tasks on a schedule. What separates people who get useful results from those who keep rewriting is how they brief it, which capability they pick for the job, and how they check the output before using it.
This course is a full day of workshops built around one running case study, a monthly performance report. Learners start with a structured prompt framework, then summarize documents into a Word file, analyze data and export it to Excel, and build a PowerPoint deck. In the afternoon they connect Gmail and Google Calendar to triage email and plan the week, use Deep Research, build a Custom GPT, set up Custom Instructions and Memory, and schedule automated tasks. The day closes with a real work challenge and a personal AI work plan with risk controls. (1 day, 6 hours, Beginner level.)
Course Details
A 1-day, 6-hour course (09:00-16:00) run as hands-on workshops all day, following one monthly performance report case study through every topic. Beginner level, no programming background needed. Learners use their own ChatGPT account; a paid plan is recommended because features such as app connections, Deep Research, Custom GPTs and Scheduled Tasks require one. A Gmail and Google Calendar account is needed for the workshops. Learners take home a workbook, the prompt framework, prompt templates, sample data files, the Word, Excel and PowerPoint files they build in class, at least one Custom GPT, one scheduled task, a quality checklist and a personal AI work plan.
Day 1: ChatGPT as a Work Assistant, from Documents to Automated Tasks
The generative AI landscape and how chatbots, copilots and AI agents differ
What ChatGPT can do: read files, analyze data, connect apps, research, Custom GPTs and scheduled tasks
Strengths, limits and hallucination, and the human-in-the-loop principle
Introducing the case study used all day: a monthly performance report
A framework: goal, context, input, constraints, output format and quality check
Structured versus unstructured prompts, and setting role, audience, tone and length
Refining answers iteratively instead of starting over every time
Workshop: build a library of prompt templates for your own work
Upload PDF and Word files and extract the key points
Summarize into an executive brief and make line-by-line edits in Canvas
Compare content across several documents
Workshop: export a Word file and check the document formatting
Upload an Excel or CSV file and explain what each column means
Check for blanks, duplicates and outliers before analyzing
Find statistics and trends, and build tables and charts
Workshop: export a multi-sheet Excel file and verify the formulas
Design the slide structure first, with the audience and time slot in mind
Bring in charts from the data workshop and add speaker notes
Edit a single slide without regenerating the deck, and formatting limitations
App connections, permission scope, read-only versus taking action, approvals and organizational data policy
Gmail: triage the last 24 hours of email by urgency and consolidate related threads
Summarize action items with owners and deadlines, then draft replies in the right tone and check before sending
Calendar: review density and conflicts, protect focus time and prepare meeting agendas
Workshop: combine calendar and email into a weekly plan with three priorities and the reasons for them
Workshop: draft meeting requests and follow-up emails from the plan
How regular search differs from Deep Research, and when to use each
Set the scope, time period, geography and industry, then review the research plan before it runs
Check sources, dates and credibility, and separate fact, opinion and AI inference
Workshop: reconcile conflicting sources and add the findings to the morning's deliverables
Pick a recurring task and turn an SOP into instructions: role, scope, steps and output format
Upload reference files and set constraints and working conditions
Tell it to ask back when information is missing and to name the reference files it used
Workshop: test with real data, refine, and share with the team
Set your role, default language, tone, length, format and things to avoid, then test before and after
Review, edit and delete memory, decide what to keep, and group conversations by task to avoid context bleed
Tasks that suit scheduling, and setting the output format and notifications
Managing the task list, limitations, and human review for sensitive work
Workshop: schedule a Monday-morning email and calendar summary, then run it now to test
Workshop: pick a real work scenario, run it end to end into multi-format output, and share techniques
Summarize what worked for each group and add it to the prompt template library
Checklist: verification, sensitive data, accountability, fairness and explainability
Personal AI plan: one task to try within 7 days and one recurring task for a Custom GPT or scheduled task
Keep templates, measure before and after, set risk controls, and name a reviewer
No public rounds are open right now. Join the waiting list and we will contact you first when the next round opens, or ask us on LINE. Or call 02-570-8449 or 088-807-9770
A work prompt should cover six things: the goal, the context and audience, the input data to use, constraints such as length or tone, the output format such as a table or bullet points, and the quality criteria. Once you have an answer, refine it in the same conversation, for example by asking for a shorter version or more figures, rather than starting again, and save prompts that work well as templates.
A Custom GPT is a version of ChatGPT set up for a specific job, with its own instructions, reference files and scope. Choose a recurring task, turn its SOP into instructions that define the role, scope, steps and output format, upload reference files, and tell it to ask follow-up questions when information is missing. Test it on real data until results are consistent, then share it with your team.
Ordinary search suits questions that need a quick answer from a handful of sources. Deep Research takes longer: it plans the investigation, reads many sources and produces a cited report, which suits market analysis or comparing options. Define the scope, time period, region and industry clearly, review the research plan before it starts, and always check the sources, dates and reliability of what it finds.
It suits office staff, managers and HR teams who handle documents and email every day, sales, marketing and analyst roles that produce reports and presentations, and business owners and freelancers who want to spend less time on routine work. No programming or AI knowledge is needed; you just need to be comfortable with a Windows or macOS computer and Microsoft Office or Google Workspace.
You will be able to write prompts with a structured framework, analyse documents and data with ChatGPT and check accuracy, produce Word, Excel and PowerPoint files, connect Gmail and Google Calendar to triage email and plan your week, research with Deep Research, build a Custom GPT for your team and set up Scheduled Tasks for routine work. Participants who complete the training receive a Certificate of Completion with its own number, which can be verified online.
You use your own ChatGPT account, and a paid plan is recommended because several features in the course, such as app connections, Deep Research, building a Custom GPT and Scheduled Tasks, require one. You also need a Gmail and Google Calendar account for the workshops, and a Windows or macOS computer.
Articles are published in Thai.
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…
Many organizations already use ChatGPT fluently in daily work but remain stuck typing the same prompts every day, copying and pasting data between systems, and getting inconsistent output whenever a different person uses it. The next step that makes a real…
AI has become a basic workplace tool, yet many employees still do not know how to start, what work it fits, or what to watch out for. This one-day (6-hour) course is designed for people in every function who have no IT background: understand how AI works…
