Already tried AI, but it still isn't practical for your team?
The AI Body of Knowledge helps teams move from scattered experimentation to practical, day-to-day use
Practical AI training. No hype. Built for real work.
The AI Body of Knowledge is a practical AI training programme for professionals, teams, and organisations that need to move beyond casual experimentation. It helps people build usable skills, patterns, and workflows so GenAI can be applied meaningfully in real work.
Training is vendor-neutral by default, delivered face-to-face across Australian capital cities, the United States, Hong Kong, Kuala Lumpur, and Manila, with regional and online delivery available on request. Everyone starts with Module 1.
For individuals, teams and leaders across your organisation
Training designed for working professionals, including anyone working in for profit, not-for-profit and government organisations. If you use AI in your work - or need to - this is where to start.
Sole traders, business owners & SME's
Understand what AI can realistically do for your business and where to start — without wasting time on tools that don't fit the way you work.
Team managers & departments
Give your team a shared, practical starting point and reduce the inconsistent AI experimentation that creates risk and wastes effort.
Leaders, managers & decision-makers
Build enough practical understanding to make sound decisions about AI adoption, tool selection, and risk — without needing to become a technical expert.
Knowledge workers & professionals
Turn AI from something you occasionally try into a reliable part of how you work each day — with practical skills that transfer across the tools your organisation uses.
Technical & IT professionals
Go beyond tool familiarity into structured AI capability — including governance, integration readiness, and how to support the teams around you in adopting AI safely.
Company Directors & advisors
You don't need to use AI daily to make sound decisions about it. After this session, you'll know enough about how it works — and where it fails — to ask the right questions, assess risk clearly, and set direction your team can actually act on.
Your team is already using AI.
The question is how.
The data on what's actually happening inside organisations is now clear — and it changes the risk calculation for leaders who are still waiting.
of employees are already using AI at work, whether their organisation has a policy or not.1 Staff are already experimenting with AI, but often without shared structure, guidance, or safeguards. The gap between casual use and useful use is widening.
of employees are using free, unvetted tools. 48% have already uploaded company data to public AI systems.1 Inconsistent use creates real inefficiency — and growing compliance risk. When staff experiment without a shared framework, the results are variable, the risks are invisible, and the time cost is real.
of employees have uploaded company information into public AI tools 1 including financial, sales, or customer information. This is not a future risk. It is already happening.
of AI initiatives fail to move beyond proof of concept into production.2 Teams that establish a practical foundation now are better placed to adopt more advanced AI tools and processes as they become relevant. Those that don't are likely to repeat the same unproductive experimentation — at greater cost, and with more exposure, each time.
1 University of Melbourne, Gillespie Lockey et al. (2025). Peer-reviewed study of workplace AI adoption, 2 MIT–NANDA Study "The Gen AI Divide: State of AI in Business 2025".
The start. Everyone begins here.
The start.
Everyone begins here.
Module 1 establishes what GenAI actually is and how it behaves differently from the tools your team has already tried — not at a marketing level, but at a practical one that changes how people give it work, judge what it produces, and decide when it's worth using.
Every participant leaves with a completed opportunity map for their own role, a prioritised shortlist of realistic AI use cases connected to real work, and a working method for checking AI outputs before acting on them. The map helps them focus on opportunities with clear time-saving, quality, or practical value.
Every AI Body of Knowledge training session starts here because consistent AI adoption across a team is impossible without a shared, accurate understanding of what the technology does and doesn't do. Module 1 builds that common ground in a single session, regardless of role or technical background.
Module 1 is a practical working session with defined takeaways participants use the same week. It gives teams more useful structure than generic awareness sessions, prompt lists, or shallow online courses.
Every booking starts with a short scoping conversation so the session is shaped around your team's actual work, not generic examples.
- Suitable for individuals, teams, and whole organisations
- No prior AI experience required
- Required before tool-specific or platform-specific training
- Hands-on throughout — not slide-based instruction
One starting point. Four formats.
All options begin with Module 1. From there, formats extend in depth and scope depending on what your team needs.
Module 1
90 minutes or 2 hours
The practical foundation. Participants learn what AI can and cannot do in real work, how to use it reliably, and how to evaluate its outputs critically. Works as a standalone or as the first step in any longer format.
Half-day
4 hours or half-day
Includes Module 1 and goes further. Participants build on the hands-on foundation across a broader set of tasks relevant to their actual work. Individuals can still enquire; we will point you to the right option.
Full-day
8 hours or full-day
A structured day of capability building across multiple areas. Participants develop working habits and practical skills across a fuller range of AI use cases — not just the most common ones.
2-day
Two days
A comprehensive programme for organisations building lasting AI capability across teams, roles, or levels. Includes the full foundation plus deeper work on integration, governance, and role-specific applications.
Not sure which format fits? Talk to us — we'll recommend where to start.
Practical. Vendor-neutral. Built for teams that work.
The AI Body of Knowledge teaches participants skills and techniques that provide a clear foundation and then progressively improve their ability to use AI tools from any provider. Whether it's CoPilot*, Gemini*, Chat GPT *, Claude*, DeepSeek* or specialised tools in your specific industry, the training focuses on building capabilities that transfer across platforms, ensuring participants see immediate and lasting benefits.Vendor neutral training
Training is built around capability that works across tools. No product gets recommended simply because we benefit from selling it. We show participants how to see through the AI hype and make AI work for them.
Shaped to your team
Every booking starts with a scoping conversation. Participants are not sitting through generic content — training is built around your team's actual work, role, and goals.
Delivered face-to-face
In-person by default across Australian capital cities, the United States, Hong Kong, Kuala Lumpur, and Manila. Hands-on and interactive throughout. Regional on-site and online delivery available on request.
A clear starting point
Starting with Module 1 means every participant starts with the same practical foundation. No scattered entry points. No assumed prior knowledge. Everyone begins in the same place and builds in confidence and skill from there.
* Microsoft CoPilot, Google Gemini, Open AI Chat GPT, Anthropic Claude, DeepSeek, are trademarks of their respective owners. The AI Body of Knowledge is a vendor-neutral training programme that focuses on building practical AI capabilities that are applicable across platforms, supplemented by tool, platform, and vendor-specific training.
What participants and their teams get
- A prompt framework they can use in actual work the same week — not slides they file away.
- The ability to evaluate an AI output critically, not just accept what they get.
- A clear picture of where AI saves time in their specific role and where it doesn't.
- Hands-on practice with real work tasks, not abstract demonstrations.
- The team stops experimenting randomly and starts working in a more consistent way.
- Less compliance and quality risk from unmanaged AI use across the team.
- A clearer view of who is ready to go further and who needs more time at the foundation level.
- A team that can explain what they are doing with AI and why — not just that they are using it.
You book by discussion — not checkout
There are no fixed public course dates right now. You book by discussion, so we can confirm the right starting point for your team before anything is locked in.
Pricing is confirmed after scoping because it depends on the format, team size, delivery mode, and location. We will give you a clear recommendation before you commit.
Tell us about your team
A short conversation about your team's situation — how they are currently using AI, how many people, and what outcome you are looking for. No preparation needed.
We recommend the right starting point
Based on your team's situation, we confirm the recommended format — usually Module 1 — and agree on any tailoring that would make the session more useful.
Confirm and go
Once the format and approach are agreed, we confirm the date, location, and next steps. Dates are arranged on enquiry.
Training delivery at a glance
- Delivered face-to-face and in person by default, with online delivery available on request
- Up to 20 participants per session
- One facilitator per 10 participants; two for a full 20-person room
- Hands-on throughout — not slide-based instruction
- Shaped to the agreed participants, format, and goals
Locations
Training is delivered face-to-face across Australian capital cities, the United States, Hong Kong, Kuala Lumpur, and Manila. Regional on-site and online delivery is available on request.
Bookings open now. Dates confirmed on enquiry.
Built by practitioners, for practitioners
AI Body of Knowledge training was created by Matt Tati and Si Pham, practitioners with direct experience in AI capability development, enterprise technology, and training delivery across Australia in association with practitioners from the United States, Hong Kong, Kuala Lumpur and Manila.
For organisational buyers, that means the sessions are scoped around real work, are vendor-neutral by default, and designed for mixed business and technical audiences. Participants leave with practical takeaways they can use the same week, not certificates that sit in a drawer.
Talk to us to discuss your team, preferred format, and delivery needs.