AI, Applied
You know AI matters. Nobody’s told you what to do Monday.
Practical GenAI training for teams past the hype and stuck at the starting line. Built around your actual workflows — your reports, your research, your inbox — not toy exercises. This isn’t a prompt-engineering course; it’s taught by someone who ships production models for a living.
What’s covered
Built around the work your team already does
Module 1
Where it actually helps
Audit your team’s real work. Find the handful of workflows GenAI does well, and the ones it quietly does badly — before you spend a quarter finding out.
Module 2
Doing the work
Hands-on against your own tasks, not sample prompts. Everyone leaves having actually done it once, with someone watching.
Module 3
Guardrails and rollout
What to verify before you trust output, what never goes in a chatbot, and how this spreads past the two enthusiasts who were always going to figure it out.
Leave with: a shortlist of workflows worth changing, working patterns for each, and a one-page policy your team will actually follow.
Before you sign up
Common questions about the training
Who is this actually for?
Do we need technical or coding experience?
Is this a course, or does it work against our real work?
How is it delivered?
What if I don’t know what my team needs?
Tell me what your team is stuck on. I’ll scope the training.
Opsis Data
Forecasting, causal inference, and automation for teams who need proof, not decks.
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Data Scientist · Analytics · Forecasting