AI · AIC-78

Train the Trainer: AI Champions

Train the Trainer: AI Champions is a workshop that prepares employees who already use AI to become internal trainers, from designing sessions for adult learners, live demos, facilitation and coaching to selecting use cases and measuring adoption. It suits AI champions, HR and L&D teams and team leaders, and you leave with a rehearsed first session and a rollout plan.

Updated
From 7,110 THB / person 7,900 −10% excl. VAT 7% · group rates available
PDFDownload the course outline
  • Duration12 hours · 2 days
  • FormatOnsite / live online
  • Next roundOn request
  • CertificateIncluded

Course overview

Many organisations have already opened AI tools to their staff, yet real use tends to stay with a handful of people, while most employees do not know where to start, worry about data security, or tried once, got poor results and gave up. A single training session is not enough to change how people work. Organisations need insiders who understand each department's work, can teach, and keep helping colleagues over time: AI champions.

This course prepares employees who already use AI to become internal trainers. It covers the champion's role, explaining AI basics and data policy in plain language, designing sessions for adult learners, preparing materials with AI and running live demos, then moves on to facilitation, coaching, selecting use cases, building a shared prompt library and measuring adoption. It closes with a live teach-back and a 90-day rollout plan. (2 days, 6 hours per day, 12 hours in total, Intermediate level.)

What you’ll gain

  • Explain the AI champion's role and where you fit in the organisation's network
  • Explain AI basics, limits and data policy so that non-IT colleagues understand them
  • Design learning sessions for adults with clear, measurable objectives
  • Use AI to prepare materials, exercises and cheat sheets using sample data instead of real data
  • Run workshops, live demos and one-to-one coaching with confidence
  • Find, select and write up department use cases against clear criteria
  • Measure AI adoption, report to management and plan a 90-day rollout

Who this course is for

  • Employees appointed as AI champions or digital leads for their department
  • HR, learning and development, and digital transformation teams
  • Team leaders who want to spread AI use within their own teams
  • Graduates of AI for Work or AI Literacy for Everyone who want to teach others

Prerequisites

  • Already using ChatGPT, Claude, Copilot or Gemini in daily work
  • Able to write basic prompts; having taken AI for Work or AI Literacy for Everyone helps
  • No programming background or previous training experience is needed
  • examples of your department's work, using sample or non-confidential data

Curriculum

Course Details

A 2-day, 6-hours-per-day workshop (09:00-16:00) at Intermediate level for employees who already use AI in their daily work. It builds on AI for Work and AI Literacy for Everyone and focuses on teaching others and driving AI adoption across the organisation. Learners use their own or company-approved AI accounts, rehearse demos, role-play and teach a live session with feedback. Learners take home the course handbook, a trainer kit with session templates, use case cards, a teach-back rubric, a measurement survey and a 90-day plan.

Day 1 The Champion's Role and Designing Sessions

Section 1: The AI Champion's Role in the Organisation

  • What champions do: teach, support, collect use cases and feed problems back to management
  • Department-level champion networks and working with IT, HR and governance teams
  • Why AI use fails to spread in organisations, and what champions can fix
  • Workshop: map the stakeholders in your own department

Section 2: Lab: Explaining AI in Plain Language

  • Explain how LLMs work, their limits and hallucination in simple terms
  • Compare ChatGPT, Claude, Copilot and Gemini from a user's point of view
  • Answer common questions: will AI replace jobs, where does data go, and how far do free plans go
  • Lab: prepare a 3-minute explanation for an audience new to AI

Section 3: Lab: Passing On Policy and Data Security

  • Data classification: what may go into AI, what may not, and when to use a company account
  • PDPA and trade secrets in everyday AI use
  • Turn the organisation's AI policy into short rules staff can remember
  • Lab: create a one-page Do and Don't sheet for your department

Section 4: Workshop: Designing Sessions for Adult Learners

  • Adult learning principles: learn from real work, practise, and see the benefit at once
  • Set measurable learning objectives and keep only the content that matters
  • A 60-90 minute session structure: demonstrate, try, share and wrap up
  • Workshop: design a first session for your own department

Section 5: Lab: Using AI to Prepare Training Materials

  • Use AI to draft slides, worksheets, exercises and case studies from department work
  • Create prompt exercises that use sample data instead of real data
  • Make cheat sheets and example prompts for each job role
  • Lab: produce the materials for the session you designed

Section 6: Lab: Live Demo Techniques

  • Choose examples where the audience sees a clear result within minutes
  • Prepare a fallback for when AI misfires or the system is unavailable
  • Use AI mistakes as a lesson in checking output
  • Lab: rehearse a 5-minute demo and get feedback from the group
Day 2 Leading Training, Driving Adoption and Measuring Results

Section 7: Workshop: Facilitation Skills

  • Open sessions so learners feel safe to try, and handle mixed levels in one room
  • Ask questions, listen and help learners draw their own conclusions
  • Handle people who resist, worry or expect too much
  • Workshop: role-play difficult classroom situations

Section 8: Lab: AI Clinics and Coaching

  • Formats such as office hours, lunch and learn sessions and Q&A channels in company chat
  • Diagnose user problems: unclear prompts, missing information or the wrong tool
  • Build an FAQ from the questions you are asked
  • Lab: coach in pairs, improving prompts from a colleague's work task

Section 9: Workshop: Finding and Selecting Use Cases

  • Look for tasks that are repetitive, time-consuming and low risk for data
  • Score them on impact, ease and risk
  • Write a use case card: current steps, new steps and human checkpoints
  • Workshop: prioritise the use cases for your own department

Section 10: Lab: A Prompt Library and Team AI Assistants

  • Build a central prompt library that is easy to search and has an owner
  • Task-specific assistants such as GPTs, Gems or Copilot agents, depending on company plans
  • Set instructions, scope and reference files that contain no confidential data
  • Lab: build one sample assistant for your department's work

Section 11: Lab: Measuring Results and Reporting to Management

  • Indicators: number of users, frequency, time saved and work quality
  • Collect data with before-and-after surveys and success stories
  • Summarise results in a one-page report management can act on
  • Lab: design a survey and a simple results table

Section 12: Workshop: Teach-back and a 90-day Plan

  • Teach a 10-minute slot from your session and receive feedback against a rubric
  • Plan 90 days: training schedule, follow-up activities and indicators
  • List the support you need from management and IT

Schedule & training options

For individuals — public rounds

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

For organisations — in-house / private

  • Tailor the content to your team’s tools and projects
  • Your dates, at your office or live online
  • Quotation with tax ID for procurement
Corporate training quote

Instructors

Frequently asked questions

What is an AI champion, and what role do they play in an organisation?

An AI champion is an employee who already uses AI well in real work and is appointed to lead adoption in their department. They teach and demonstrate AI to colleagues, answer questions and coach one-to-one, find tasks AI can help with, pass on data-safety policies and report usage to management. This role spreads AI across an organisation faster than relying on IT or central training alone.

How should you design a session that teaches adults at work to use AI?

Begin with a measurable objective, such as learners being able to summarise a report with AI on their own by the end. Choose examples from their actual work, because adults learn best when they see immediate value for their own jobs, then keep the flow short and hands-on: a brief demo, a try-it-yourself exercise and a shared wrap-up. Finish with an exercise or quick guide they can take away, using mock data instead of real data.

What should you measure when tracking AI adoption and reporting it to management?

Measure both adoption and outcomes. For adoption, track how many people use AI regularly and how many use cases are in real use; for outcomes, track time saved per task, quality improvements and user satisfaction from surveys. Report to management with a few clear figures alongside real work examples, plus the problems found and the next steps for scaling up.

Who is the Train the Trainer: AI Champions course for, and what should I know beforehand?

It suits employees appointed as AI champions or digital leads in their departments, HR, learning and development and digital transformation teams, and team leaders who want to expand AI use. It is intermediate level: you should already use ChatGPT, Claude, Copilot or Gemini in daily work and write basic prompts, but you need no programming skills or prior experience as a trainer.

What will I be able to do after the Train the Trainer: AI Champions course?

You will be able to explain AI basics and data policies to non-technical colleagues, design measurable sessions for adult learners, prepare materials and quick guides with AI, run workshops with live demos and coach colleagues, select use cases for your department, and measure adoption with a 90-day plan for scaling up. Participants receive a Certificate of Completion with its own number that can be verified online.

Can the Train the Trainer: AI Champions course be run for our own organisation?

Yes, it can be run in-house, which suits organisations building a network of AI champions, as examples and use cases can be adapted to each department's work. Participants rehearse demos, role-play and teach for real with feedback. Request a quotation from this page, or contact LINE @itgenius or call 02-570-8449.