OpenAI Native
- Three levels
- Half-day to full day per level
- Virtual · on-site · self-paced
- No exam · verified completion
One series. Three levels. Every team.
- ON-100Half-day or self-paced
Foundations
A working mental model of ChatGPT – what the models are brilliant at, where they fail, and how to get real value from day one without putting data at risk.
Best for: Whole-of-workforce rollouts, and teams using ChatGPT for the first time
- Judge when ChatGPT is the right tool – and when an answer needs a verified source
- Write clear, structured prompts and scan them for sensitive data before sending
- Know the line between the consumer app and your workspace – and why it matters
- Draft, summarise, and analyse everyday work with confidence
- ON-200Full day · cohort
Intermediate
From ad-hoc prompting to repeatable team workflows – custom GPTs, shared projects, document pipelines, and the security habits that scale with usage.
Best for: Functional teams standardising how they work with ChatGPT every week
- Design reusable prompt patterns and build a shared team prompt library
- Run document-heavy workflows – contracts, reports, research – end to end
- Build custom GPTs that hold your team's context and instructions
- Spot prompt injection and over-trust failures before they cost you
- ON-300Full day + lab
Advanced
The edge of what a non-engineering team can do with OpenAI – agentic workflows, connectors, organisation-wide GPTs, and the governance to run them responsibly.
Best for: AI champions, ops leads, and teams automating real processes
- Build multi-step agentic workflows that draft, check, and refine their own output
- Connect ChatGPT to the tools where your work lives – eyes open to the risks
- Ship organisation-wide GPTs your colleagues actually use
- Lead adoption – measure impact, coach your team, and keep usage inside policy
What each level covers.
For teams new to AI – or new to using it properly.
Half-day or self-paced
- 01
How ChatGPT thinks
A practical mental model of an LLM – strengths, blind spots, and a good-fit sorter for everyday tasks.
- 02
Prompt craft
Structure, context, and iteration – hands-on in the prompt lab with instant local feedback.
- 03
Data boundaries
Consumer app vs business workspace, training controls, and what never gets pasted anywhere.
- 04
Everyday workflows
Drafting, summarising, meeting prep, and first-pass analysis – the tasks that pay back this week.
- 05
Scenario & knowledge check
A branching workplace scenario plus a short, scored check – certificate on completion.
Not another prompt-engineering webinar.
- Hands-on, not slideware
- Every level is built around labs, sorters, and branching scenarios with instant feedback – your people learn by doing, on content that looks like their actual week.
- Security woven through
- Data boundaries, workspace controls, and injection awareness live inside every exercise – not in a compliance module at the end. Productive and secure pull in the same direction.
- Kept current, on the record
- OpenAI ships fast, so content is versioned and updated as the models and apps change – and every completion lands in a verifiable training record you can show an auditor.
Live, on-site, or self-paced – run it your way.
The series is a delivery model, not a fixed seminar. Mix formats per team, keep everyone on the same content, and let the platform carry the follow-through.
- 01
Map the levels
Most organisations run Foundations for everyone, Intermediate for the teams that live in ChatGPT, and Advanced for their champions.
- 02
Pick the formats
Live virtual cohorts, an on-site workshop day, or self-paced modules on the platform – mixed freely across teams and offices.
- 03
Train on live content
Interactive labs and scenarios run in the platform during the course – private cohorts get your policies and examples woven in.
- 04
Prove it happened
Completions land in a tamper-evident training ledger with certificates – export the evidence whenever anyone asks.
The whole organisation – not just the AI-curious.
OpenAI Native is built for the whole organisation, not just the technically inclined. Foundations assumes nothing. Advanced will stretch the person your team already calls "the AI one". In between, every exercise runs on scenarios that look like the actual week of the analysts, operators, lawyers, and marketers in the room.
It's also vendor-honest. We teach what ChatGPT is genuinely good at, where it falls over, and how to keep sensitive data out of it – including the line between the consumer app your staff already use and the workspace you actually control. Start at any level; each stands alone, and they stack.
- Teams rolling out ChatGPT for everyday knowledge work
- Analysts, ops, legal, support, and marketing – no technical background needed
- Workspace owners who need controls and adoption to move together
- AI champions expected to raise everyone else's game
- Organisations standardising secure AI use before scaling it
- Regulated teams that need training evidence on demand
- Consultancies and delivery partners training client-facing staff
- Anyone whose week is drafting, summarising, and analysis
Pick your lab – or mix them.
- AnthropicAvailable nowView the series
Claude Native
The flagship – three levels on Anthropic's Claude, live and self-paced, shipping today.
- OpenAIAvailable now
OpenAI Native
ChatGPT and the OpenAI stack – custom GPTs, agentic workflows, and workspace controls.
- MicrosoftAvailable nowView the series
Copilot Native
Microsoft 365 Copilot in the flow of Word, Excel, Outlook, and Teams – governance included.
- GooglePlanned
Gemini Native
The Google-stack edition for Workspace-centric teams – planned.
Bring OpenAI Native to your team.
No commitment – this is an enquiry, and we'll shape the details together.