Workshops & Lectures
AI workshops and lectures that leave a team able to act, not just informed.
For companies who want their people to understand AI well enough to make good calls about it — not a slide deck of buzzwords, a working session.
Why training pays off
Tools don't change how a team works. Trained people do.
The World Economic Forum projects that 59% of workers will need training by 2030, and 85% of employers plan to prioritize it. The payoff is measurable: in a Stanford and MIT study of more than 5,000 support agents, access to an AI assistant raised productivity 14% on average — and 34% for newer, less-experienced staff.
A workshop is where that shift starts: your team using AI on real work, not watching a demo of it.
Formats
Pick the format that fits the room and the goal.
- Executive briefing — a focused session for leadership on where AI matters for the business.
- Hands-on workshop — a working session where a team builds something real with AI tools.
- Lecture — a talk for a larger audience, conference, or all-hands.
Who attends
Scoped to the audience, not one-size-fits-all.
- Leadership — framing AI decisions at the strategy level.
- Product teams — where AI changes what's buildable.
- Data and engineering teams — practical, hands-on AI tooling and methods.
Example topics
A sample of what sessions cover — each one tailored to the group.
- What AI can and can't do for your business right now.
- Evaluating AI vendors and tools without getting sold to.
- Building with large language models — practical patterns and pitfalls.
- AI agents and automation: what's real, what's hype.
- Data foundations: what AI adoption actually requires from your data.
If leadership is still deciding where AI fits before training anyone, start with a consulting engagement.
Every workshop and lecture is delivered in Hebrew or English — tell us which one works for your room, and we run it that way.
Questions
Before you book a session, the usual questions.
Is this hands-on or a lecture?
Either — we run three formats: a focused executive briefing for leadership, a hands-on workshop where a team builds something real with AI tools, and a lecture for a larger audience or all-hands. Which one depends on the room and what you want people able to do afterward.
Should executives or hands-on staff attend?
Both, in different sessions. Leadership sessions frame AI decisions at the strategy level; product, data, and engineering teams get practical, hands-on tooling. We scope the content to who's in the room rather than run one-size-fits-all.
Do you tailor the content to our industry and tools?
Yes. Every session is built around your context — your industry, your stack, and the work your team actually does. The example topics we list are a starting point, not a fixed syllabus.
How large can a group be?
From a small leadership team to a full-company all-hands. Hands-on workshops work best in smaller groups where everyone builds; lectures scale to a large audience or conference. We size the format to the headcount.
What can people actually do afterward?
Use AI on their own work with judgment — knowing what it's good for, where it fails, and how to evaluate a tool without being sold to. The aim is a team able to act, not just informed. Trained users are also where the measurable gains show up: a Stanford and MIT study found AI assistance raised worker productivity by up to 34% for less-experienced staff.
Bring a session to your team.
Book an intro call and we'll scope the format and topic together.
Book an intro call