AI Classes in NYC: A Business Leader's Guide to Learning AI

New York has real classroom providers for AI training, and I won't pretend otherwise. Companies like Noble Desktop, Certstaffix Training, and the continuing-education programs at local universities run scheduled courses—often one to three days—where an instructor teaches a room of students the fundamentals: what the major tools are, how prompting works, what AI can and can't do. If you want a structured overview in a room with other learners, a good classroom course delivers that honestly.

The limitation is structural, not a failure of the instructors. A classroom AI course is built for everyone in the room, which means the examples are generic by necessity: a fictional marketing plan, a sample dataset, an exercise cleaned up for teaching. Nobody opens your board pack or your firm's actual documents, because those belong to you. For an executive whose goal is fluency on the work already on their desk, that gap is exactly where the learning dies.

The second format is the team workshop: a trainer comes to your company—or hosts your team—and teaches a group of your people together, usually for a half day or a full day. The workshop format works well when the goal is shared literacy: getting a leadership team onto the same baseline, with the same vocabulary and the same ground rules. What a workshop can't do is go deep on any one person's workflow, because the time belongs to the group.

The third format is 1-on-1 coaching: you and a human teacher, working on your actual documents, at your pace. That's what I do, and the rest of this page explains what the format adds and how a session works—because for most executives who find this page, coaching is what they were looking for when they typed 'AI classes' into a search bar.

The honest difference comes down to three things: your work, your files, and your workflows. In a classroom course, the material is fixed before you arrive. In one-on-one AI coaching, the material is whatever is sitting on your desk that morning—the board pre-read due Friday, the investor update you've been circling, the forty-page contract you've been avoiding—and the tool gets applied to it live. You know within a paragraph whether the output is any good, because you're the one who has to send it.

The second thing coaching adds is a feedback loop on your habits. Prompting is a skill in the literal sense: you improve through repetitions with correction, the same way you improved at running meetings. In a room of twenty students, no instructor can watch how each person prompts. In a 1-on-1 session, I watch how you ask for things—usually too briefly, with the important context still in your head—and correct the habit in the moment, on your document. Two or three corrected repetitions teach more than a day of lectures.

The third thing is what you keep. Every coaching engagement ends with a saved prompt playbook: the exact prompts that produced strong results on your real work, written down so the next use takes minutes instead of a blank page. A classroom course hands you a certificate. Coaching hands you a dozen plays you will still be running six months later—your board-prep prompt, your difficult-email prompt, your long-document prompt—each built from your context and your standards.

Almost everyone I teach in person is a founder, CEO, or senior executive of a company doing roughly $20 million to $500 million in revenue, and most are in their 50s or 60s. The profile is consistent: smart, busy, not technical, and quietly aware that the people around them are getting fluent faster. They're not looking to become AI experts—they're looking to run their companies with the same confidence they bring to everything else.

In-person sessions happen across Manhattan and Fairfield County—I come to your office, or we meet somewhere quiet that works for you. I'm based in Greenwich and in the city regularly, so scheduling is straightforward. Team workshops follow the same geography: your leadership team, your conference room, your agenda. If you're outside that corridor, the remote option below is the same coaching, just through a screen.

Most of this page's readers won't be in the NYC metro, and the honest answer is that it doesn't matter much. Remote sessions—video call, screen shared, same two-hour format—work just as effectively as sitting across a table, because the work already happens on a screen: your documents, the tool, and the prompts we're building. If you found this page searching for AI training or AI workshops near you and you're not near Manhattan or Greenwich, the remote Deep Dive is the same coaching with the same playbook.

Whether you're booking in person or remote, bring your real workload—the board deck, the inbox, the document you've been avoiding—and we'll spend the time on that. If a classroom course is genuinely the right next step for you, I'll tell you that instead.