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AI / LLM Training & Tutoring
One-on-one, tailored AI training that makes you and your team genuinely capable with LLMs — not just curious about them.
Most AI training is a generic slideshow: the same prompts, the same toy examples, the same demos that fall apart the moment you try them on your own work. Fantom Labs teaches AI the way it actually gets adopted — one on one, on your real tasks, tools, and data.
Every course starts with a short discovery of your role and workflow, then a tailored curriculum is built around it. A founder learns to scope and delegate work to AI agents; an operations lead learns automation and document workflows; a developer learns to work with AI coding assistants properly instead of fighting them.
Sessions are live and hands-on. Typical ground covered includes prompting and context engineering, building and supervising AI agents, automating repetitive business processes, evaluating AI output critically, and knowing where the current models genuinely help versus where they quietly waste your time.
Because Fantom Labs builds AI-integrated products and automation commercially, the training reflects what actually works in production — not conference-talk theory. You leave each session with recordings, materials, and working setups you built yourself.
What this typically includes
- A tailored curriculum built around your actual role and tools
- Working prompting, agent, and automation setups you built in-session
- Session recordings and reference materials to keep
- A clear view of where AI genuinely helps your business — and where it does not
Frequently asked questions
How much does AI training cost?
One-on-one tailored courses start from $1,999 AUD, typically delivered across 4-6 live sessions. Team programs and longer engagements are scoped individually.
Who is the training for?
Founders, operators, and teams who want practical capability — prompting, agents, and automation applied to their real work. No technical background is required; the curriculum adapts to your starting point.
Is it really one on one?
Yes. Sessions are live and individual by default, built around your role, your tools, and your questions. Small-team formats are available where a shared curriculum makes sense.