Search for AI training in Sydney and most of what comes back is courses: a set syllabus, a certificate, the same examples for everyone. That's useful for learning the theory. It rarely changes how a team works on Monday, because the examples were never your work.

My training is built the other way round. I'm British, I've spent 23 years in marketing, I built, scaled and sold a digital marketing agency, and since 2024 I've built my own business around AI. I work with clients in Australia as well as the UK, US and Canada, and every session runs over video.

Course or team training: which do you need?

A course suits one person who wants to understand AI and has time to study. Team training suits a business that wants several people using AI on the same kinds of work, with shared prompts, shared rules and someone to check it stuck. If you're a Sydney business owner with a team of five or fifty, it's usually the second.

The Australian privacy rule I teach first

Australian privacy guidance shapes how I train Sydney teams. The OAIC, the Office of the Australian Information Commissioner, published guidance on privacy and the use of commercially available AI products. It says privacy obligations apply to any personal information put into an AI system, and to AI output that contains personal information.

Its clearest line is the one I put on the wall in every session: as a matter of best practice, the OAIC recommends organisations don't enter personal information, and particularly sensitive information, into publicly available generative AI tools. In practice that means your team learns which tools and accounts are approved, and how to strip names and details before a prompt goes in.

What a session covers

Each session follows the same method, because the method is what makes it stick.

1. We list the tasks your team repeats every week and pick the ones worth speeding up.
2. We build AI into those tasks live, using your own material with personal details removed.
3. Everyone saves prompts for their own jobs in one shared place.
4. We agree the rules: approved tools, what always gets a human check, what never goes in.
5. People leave with a plan for next week, and I follow up to see what changed.

Tools we can train on

I'm independent, so I train on the tools your business already uses or is choosing between: ChatGPT, Claude, Microsoft Copilot or Gemini in Google Workspace. If you haven't chosen yet, part of the first session is deciding which assistant owns which job, so your team isn't juggling four tools for no reason.

Who this suits in Sydney

It suits owners and managers of small and mid-sized businesses, marketing and sales teams, and service businesses where the same emails, proposals and reports get written every week. It doesn't suit teams that need engineers to build custom AI systems. If that's you, I'll say so on the first call.

If you want more than training, such as workflows built with you, my AI consulting for Sydney businesses covers that, and all the formats are on my work with me page. Teams elsewhere in the country can see my Australia page.

What changes after training

The test is whether someone is doing a specific task differently a month later. For most Sydney teams that looks like faster replies, meeting notes that arrive the same day, and proposals that start from the business's own material instead of a blank page. If it hasn't changed, I want to know why, and we fix it.

Questions to ask any AI trainer in Sydney

Whoever you choose, these questions will tell you quickly whether the training will change anything.

• Will the session use our own tasks and material, or generic examples?
• Which AI tools will you train on, and will you help us choose between them?
• How will you cover Australian privacy guidance and what stays out of AI tools?
• What will each person leave with: saved prompts, rules, a plan?
• How do you follow up, and how will we know the training worked?

My plain advice before you book AI training in Sydney

Before any training, agree which AI tools and accounts are approved for work, and tell everyone that personal and sensitive information stays out of public AI tools, as the OAIC recommends. Then pick three tasks your team repeats every week. Training built on those will stick. Training built on a generic syllabus mostly won't.

Frequently asked questions

Who runs hands-on AI training for business teams in Sydney?

Lilach Bullock, a British AI trainer and AI implementation consultant, runs live AI training for Sydney business teams over video, built on each team's own work and Australian privacy guidance.

Is your Sydney AI training in person?

Sessions for Sydney teams run live over video, in English. That keeps them hands-on while your team works on its own screens and files.

Can staff put customer details into ChatGPT?

The OAIC recommends, as best practice, not entering personal information, and particularly sensitive information, into publicly available generative AI tools. Agree approved tools and accounts first.

Do we get a certificate?

My training is about changing how your team works, not a certificate. You'll have saved prompts, agreed rules and a follow-up to check what stuck.

How long is a session?

A focused team session is usually a 90 minute hands-on workshop, followed by a check-in to see which workflows stuck.

What should we prepare before AI training?

A short list of the tasks your team repeats every week, a few real examples of each with personal details removed, and a decision on which AI tools and accounts are approved for work. With those ready, we spend the whole session on your own work instead of on setup.