AI for Work: Transform Your Whole Organization to Work with AI is a hands-on workshop in applying ChatGPT, Codex, Gemini and Claude to each department's real work, from structured prompting and ROI-based task selection to AI workflow design and usage guidelines. It suits back-office teams, developers, IT staff and team leads, and you leave with your department's own prompt library.
Many organizations have already invested in AI tool licenses for their staff, only to find that actual usage is low. Most employees use AI only for general question-and-answer and never connect it to their daily work, so the return does not justify the budget. Three problems appear repeatedly in Thai organizations: not knowing which tasks should use AI, not knowing how to instruct AI (prompts that are too short and produce vague answers), and having no safety or verification framework. The AI for Work course is designed to solve all three within two
days by having each department work hands-on with their own real tasks. Learners study the strengths and selection of the four main tools - ChatGPT, Codex, Gemini and Claude - write structured prompts, choose the tasks worth applying AI to using an ROI-based criterion, design a repeatable AI workflow for their own department, and understand the risks around data, copyright and hallucination. They leave with their own department's prompt library ready to use from the very next Monday. (Hands-on training, 2 days, 6 hours per day, 12 hours in total, available Onsite, Online or Hybrid.)
Course Details
A 2-day hands-on workshop, 6 hours per day (12 hours in total). It is designed as a shared core plus role-based tracks, so all departments can train together in one class. The key principle is that learners use their own real work as the exercise throughout the course - no hypothetical cases - so the output produced in class can be used immediately. The mix is 40% lecture and live demo, 45% hands-on workshop and 15% discussion and presentation, supporting 15-30 people per class (onsite) or 20-40 per class (online).
Section 1: Course Opening and the 2026 AI Landscape for Working People
Section 2: The Art of Instructing AI (Hands-on Prompt Engineering)
Section 3: ChatGPT for Office Work and Productivity
Section 4: Gemini for Documents and Organizational Data
Section 5: Claude for Deep Analysis and High-Quality Content
Section 6: Role-Based Track Session (Choose 1 Track)
Section 7: Using Multiple AI Tools Together (Multi-model Workflow)
Section 8: Design Your Own Department's AI Workflow
Section 9: Risk, Security and Ethics of Using AI
Section 10: Presenting the Work and the Organizational Scaling Plan
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
Start by giving the AI a role, such as an experienced HR officer, then provide context: who the work is for and what information it draws on. State the task and the result you want, specify the format, such as a table, bullet points or an email, and add constraints such as length, tone or things to avoid. If the output misses the mark, refine one element at a time or attach a good example, known as few-shot prompting.
ChatGPT is a broad general-purpose assistant that can analyse data files and host Custom GPTs for specific jobs. Gemini works closely with Google Workspace apps such as Gmail, Docs and Sheets. Claude is strong at reading long documents and at writing that needs careful reasoning, while Codex is OpenAI's coding tool for writing, testing and reviewing code. In practice, choose by the type of task and the systems your organisation already uses rather than relying on a single tool.
Hallucination is when an AI gives an answer that sounds convincing but is untrue, such as invented figures, names or references, because a language model predicts likely text rather than checking facts. Reduce the risk by giving the AI real documents or data to work from, asking it to cite sources or say when it does not know, and having a person check key figures and facts before anything is sent.
It suits HR, accounting, administration and procurement staff who want to cut document work, developers and IT teams who want to use Codex for coding, executives and department heads setting AI policy, and marketing or sales teams. You need to be comfortable using a computer and web browser for daily work. No programming knowledge is needed, except for those on the developer and IT track.
You will be able to choose between ChatGPT, Codex, Gemini and Claude for each task, write structured prompts that produce work-ready output, select tasks worth handing to AI using ROI criteria, and design a repeatable AI workflow for your department, leaving with your own prompt library and data-risk guidelines. Participants who complete the training receive a Certificate of Completion with its own number, which can be verified online.
Bring two or three pieces of your own real work, such as documents you draft regularly, data files you have to summarise, or the process that takes up most of your week, because the course uses your own tasks as the exercises throughout. You also need at least one AI tool account, which the IT Genius team helps you set up before the training.
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