Last updated June 2026

AI training that gets your team using it every day

Hands-on, practical workshops that get your team applying ChatGPT, Microsoft Copilot and Claude to their actual work, so the productivity gain shows up in your week, not just in a certificate.

Key Takeaways

  • The win from AI is augmentation, not replacement: 79% of Australian workers face low or very low automation risk from generative AI (Jobs and Skills Australia Gen AI Capacity Study, 2025). The teams that learn to use it well simply get more done.
  • Most knowledge workers can claw back hours a week once they know how to use AI for drafting, summarising, research and analysis. Our training is built to make that happen, fast.
  • We train on the tools you already pay for, ChatGPT, Microsoft Copilot, Claude, GitHub Copilot, in your real workflows, not generic theory or prompt-engineering theatre.
  • Workshops run in small cohorts on live tasks, and every team leaves with a shared, reusable prompt library they keep building after we go.
  • AI could add A$142B a year to Australian GDP by 2030, with smaller firms growing productivity 22% faster than large ones (Business Council of Australia AI Opportunity Report, 2025). The fastest way to capture that is a confident team.

What is AI Training?

AI training is practical, role-based capability work that teaches your team to apply generative AI tools, ChatGPT, Microsoft Copilot, Claude, GitHub Copilot, to the work they already do. It is not a coding bootcamp or an abstract literacy course. It is hands-on time changing how your people produce, review, summarise, draft, analyse and decide, so the improvement shows up in their day-to-day output.

We tailor every session to your team and toolset. A finance team learns to summarise and reconcile faster; a sales team learns to draft and personalise at speed; an ops team learns to turn messy notes into clean reports in minutes. We work on real tasks with real data so nobody walks out wondering how to apply what they just saw.

The goal is confident daily use, not a one-off buzz. Most teams come out of a workshop already saving time on the work they did that same afternoon, and the shared prompt library means the next person does not have to start from scratch.

Why Australian Businesses Need AI Training

The case for training your team is straightforward: the tools are already on their desks, but most people only use a fraction of what they can do. The Jobs and Skills Australia Generative AI Capacity Study (August 2025) found that 79% of Australian workers face low or very low automation risk. The real story is augmentation: gen AI lifts the output of every knowledge worker who learns to use it well. Training is what turns a licence you are already paying for into hours actually saved.

There is a competitive edge in moving early. The Business Council of Australia's AI Opportunity Report 2025 projects AI could add A$142B a year to Australian GDP by 2030, with smaller firms growing productivity 22% faster than large ones because they adopt faster. The AI Lab Australia State of AI Adoption in Australian SMBs 2026 finds 64% of Australian SMBs now use AI regularly, up from 39% in mid-2024. A confident team is quickly becoming the baseline, not the differentiator.

Then there is the cost of doing nothing. The Hays Salary Guide FY25/26 reports Australian tech salaries grew 9.6% year on year. Lifting the output of the people you already employ is far cheaper than hiring into a rising market, and it lands faster. A two-week training programme can change how a whole team works; a new hire takes months to ramp.

We deliberately keep our programmes short and practical. Two-week intensives consistently beat drawn-out multi-month courses on the only metric that matters: whether people actually change how they work afterwards.

There is a tremendous opportunity for Australia and our workforce to boost our productivity and create new ways of working.

Our AI Training Methodology

Every Mindiam training programme runs through the same five steps. We tailor the content to your team and your tools, work on real tasks, and measure the change in how people actually work.

  1. 1

    Assess the team

    We map your team's current AI confidence, the tools they are licensed for, and the 8 to 12 weekly workflows with the most time to gain. We shadow real work rather than rely on a survey.

    Timeline: Week 1, 3 to 5 hours of your team's time

  2. 2

    Design the curriculum

    A training plan built around your industry, your toolset (Microsoft 365, Google Workspace, sector-specific tools), your team size and the full skill range, from first-time users to power users.

    Timeline: Week 1, no team time required

  3. 3

    Run hands-on workshops

    Small cohorts (8 to 15 people, smaller in regional centres), in person or live remote, working on your real tasks and real data, so people leave able to do the work, not just describe it.

    Timeline: Weeks 2 to 3, typically 2 half-days per cohort

  4. 4

    Build a prompt library

    A shared, reusable library of the prompts and Copilot Studio or GPT helpers your team uses most, so the whole team levels up and keeps extending it after we leave.

    Timeline: End of week 3

  5. 5

    Support and measure

    Follow-up Q&A sessions, a dedicated Slack or Teams channel, and a written report measuring adoption and the time your team is now saving against the baseline we set at the start.

    Timeline: Weeks 4 to 7

What confident AI use looks like at scale

Two Australian benchmarks that show how fast AI capability is becoming standard, and the kind of productivity gain a well-trained team can expect to share in.

Tech Council of Australia

Australia's path to 1.2 million tech workers by 2030

Challenge
Australia's demand for AI-capable workers was racing ahead of supply. Without coordinated capability investment, businesses risked being held back by a skills gap they could not hire their way out of.
Approach
The Tech Council of Australia set a national target of 1.2 million tech workers by 2030, with AI among the fastest-growing skill clusters, growing 15 to 22% a year.
Result
AI is now the fastest-growing skill set in the country, and the businesses that train their existing people are the ones not waiting on a tight, expensive hiring market to catch up.
Metric
1.2M tech workers target by 2030 · AI roles growing 15 to 22% YoY
BCA + Tech Council, Australia's AI Opportunity Report 2025

A$142B a year in productivity is on the table by 2030

Challenge
Businesses needed a hard number for what AI capability is actually worth, not vague optimism, to justify investing in training their teams.
Approach
The Business Council of Australia, with the Tech Council and others, published Australia's AI Opportunity Report 2025, quantifying the GDP impact and the productivity gains by sector and firm size.
Result
Up to A$142B a year in added GDP by 2030, with smaller firms forecast to grow productivity 22% faster than large ones. A confident, well-trained team is how an individual business turns that headline into its own result.
Metric
A$142B annual GDP impact by 2030 · 22% faster productivity growth for smaller firms

AI Training Pricing

Training pricing is built around the change you want, not a vague per-head fee. A single team starting out wants something very different from a larger business rolling AI confidence out across every department, so we keep it simple with three options.

A workshop series is the fastest way to get one or two teams up and running. A quarterly retainer suits a steady, rolling uplift across multiple cohorts. An enterprise programme is for larger rollouts that need a role-based curriculum across departments and someone embedded to drive it.

Every engagement is itemised. We tell you exactly what is in the price and what, if anything, is extra, so you always know what you are paying for and what change it is meant to produce.

TierPriceIncludesAdditional
Workshop SeriesFrom A$4,500 + GST per workshop day
  • Pre-workshop skills assessment
  • Up to 15 people per cohort (smaller in regional centres)
  • Tailored curriculum (Microsoft Copilot, ChatGPT, Claude)
  • Hands-on work on your real tasks and data
  • A shared prompt library to keep at the end
  • Travel beyond the local metro area
  • Recording and packaging for your internal LMS
  • Sector-specific curriculum variants
Quarterly RetainerFrom A$14,000 to $18,000 + GST per quarter
  • Monthly workshop cadence across multiple cohorts
  • A dedicated Slack or Teams channel for ongoing questions
  • A quarterly adoption and time-saved report
  • Up to 2 custom Copilot Studio or GPT helpers per quarter
-
Enterprise ProgramQuoted on scope
  • Role-based curriculum across every department
  • An embedded programme manager for up to 12 months
  • Executive briefings for leadership
  • Adoption tracking and reporting across the business
  • A scaled prompt and helper library for the whole organisation
-

Where structured training is tied to documented experimental R&D activity, eligible Australian businesses may be able to claim portions through the federal R&D Tax Incentive, a refundable offset of up to 43.5% for eligible companies under A$20m turnover. Not every training hour qualifies; we structure the documentation so your accountant has what they need, but your accountant makes the call.

For city-specific pricing nuances, see the relevant city page above.

Frequently Asked Questions

What does your AI training actually cover?

Practical, role-based use of the tools your team already has: ChatGPT, Microsoft Copilot, Claude and GitHub Copilot, applied to the real work they do every day. We cover drafting, summarising, research, analysis, reviewing and the everyday tasks where AI saves the most time. We skip the theory and the prompt-engineering theatre and focus on what changes your team's week.

How soon will the training pay off?

Usually the same week. Because we work on your team's real tasks during the workshop, people leave already able to apply what they learned to the work in front of them. A standard programme runs about seven weeks end to end, and we hand you a report showing the time your team is saving against the baseline we set at the start.

How much does AI training cost in Australia?

A workshop series starts at A$4,500 + GST per day for cohorts up to 15 people. A quarterly retainer for a rolling uplift runs A$14,000 to $18,000 + GST. Enterprise programmes are scoped to the organisation. Every quote is itemised so you know exactly what you are paying for.

Do you train on the specific tools we use?

Yes. We build the curriculum around your actual stack, whether that is Microsoft 365 and Copilot, Google Workspace, ChatGPT, Claude or sector-specific tools. We work in your environment on your data so the training maps directly to how your team works, not a generic demo.

How big are the workshops and how are they run?

Small cohorts of 8 to 15 people, in person or live remote, so everyone gets hands-on time rather than watching a screen. We deliberately keep cohorts small because the goal is behaviour change, and that only happens when people actually do the work themselves during the session.

Which Australian cities do you work with?

All of them. We deliver live remote across every state and territory and in person in the capitals and many regional centres. Pick the city closest to your team below, or just book a call and we will sort the logistics.

Get your team confidently using AI

Book a free 30-minute call. We will talk through how your team works today, point out where training would save the most time, and recommend the right shape, a workshop series, a quarterly retainer or a full rollout. You will leave with a written recommendation whether or not you work with us.

Book a free 30-min call