What is an AI seminar?

An AI seminar is a short one-way session, usually 60 to 120 minutes, aimed at aligning participants' understanding of AI: what has changed, what is relevant to them, and what comes next. Audiences range from dozens to hundreds.

What is the difference between a seminar, a workshop, and AI training?

A seminar delivers understanding to many people quickly. A workshop has participants do the work themselves in a smaller group. Training is a longer programme aimed at changing how people work, usually with follow-up after the sessions.

How long should an AI seminar be?

Usually 60 to 90 minutes of material plus 20 to 30 minutes of questions. Under 45 minutes only covers an introduction. Beyond two hours, attention drops sharply if the format stays one-way.

What does an AI speaker cost?

It varies with duration, location, how far the material is customised, and whether extra sessions are included. Customisation moves the number most, because that work happens before the event day.

What should organisers prepare before an AI seminar?

The audience profile and their level of understanding, the goal for the session, duration and run of show, technical needs such as projector and internet, and clarity on whether the session may be recorded. The earlier the audience profile arrives, the more relevant the material.

AI Seminars for Companies and Campuses: Formats and How to Invite a Speaker

An AI seminar works best when the goal is aligning a lot of people at once, not making them proficient. To change how people work, a seminar needs a workshop or follow-up behind it, because a single one-way session rarely shifts habits.

What an AI seminar is, and when the format fits

An AI seminar is a short one-way session whose purpose is aligning a lot of people at once, not making them proficient. The format fits when the problem you face is perception rather than skill.

Situations where it works:

Management has decided to adopt AI, but most staff do not yet know what that means for their own work.
Concerns exist that nobody has aired openly, such as job displacement or data confidentiality.
A university wants students to understand how the working world is changing before they enter it.
An annual event needs an opening session that sets a shared direction.

Where it does not fit: if what you want is a team working differently next week. For that, a seminar is too short and too one-way.

Seminar, workshop, or training?

The three get used interchangeably even though the outcomes differ sharply.

Format	Typical length	Audience	What happens	Right for
Seminar	60 to 120 minutes	Dozens to hundreds	People listen and ask	Aligning understanding
Workshop	Half day to 3 days	15 to 30	People build things themselves	Building baseline skill
Training	Several weeks	Per team or division	Practice, application, follow-up	Changing how work is done

The combination that most often works in companies: a seminar for everyone, then a workshop for the most affected team, then short follow-up support to make sure the result gets used. Each stage filters for the people who will genuinely continue.

Topics that are relevant in 2026

Material that still stops at "what is AI" no longer meets the audience where they are. What is relevant now:

What genuinely changed in the last two years, particularly the shift from chatbots to AI agents that carry out tasks.
Concrete examples from the audience's own context. For companies, their internal processes. For universities, the professions students are heading into.
Honest limits. Where AI gets things wrong, and what work should never be handed over completely.
Data confidentiality and usage rules. This question always comes up, and it is better answered up front.
A first step they can take tomorrow. One small specific thing, not a general encouragement to start using AI.

That last part goes missing most often. A seminar with no next step ends as interesting entertainment.

Ideal length and audience size

For material, 60 to 90 minutes is the safest range, plus 20 to 30 minutes of questions. Under 45 minutes covers only an introduction. Beyond two hours in a one-way format, attention falls away.

Audience size has no technical limit, but it has consequences. Above 100 people, questions need moderating so a few voices do not dominate. Below 40, the format can be made more interactive and the effect is usually more noticeable.

What an AI speaker costs

There is no single rate. What moves it:

Duration and number of sessions in a day.
Location, including travel and accommodation.
How far the material is customised. Usually the largest factor, since that work happens before the event.
Language of delivery.
Whether extra sessions are included, such as a panel, a short workshop, or a management-only session.

When comparing proposals, make sure all five are stated. Two numbers without detail are not comparable.

Organiser checklist

What makes a session far more relevant:

Audience profile. Roles, departments, and their rough level of AI understanding.
The goal. One sentence, for example "management wants the marketing team to stop being afraid of AI".
Run of show and firm timings, including who opens and closes.
Technical needs. Projector, screen ratio, audio, internet if there is a live demo.
Recording rules. Whether it may be recorded, and for what use.
An on-site technical contact reachable on the day.

The earlier points one and two arrive, the more likely the material feels built for that audience rather than carried in from elsewhere.

Seminar topics Fahmi Fahreza delivers

Fahmi Fahreza is Indonesia's n8n Official Ambassador and founder of WithMi Automation. His sessions come out of real implementations, so the examples on stage come from systems that actually run rather than generic illustrations.

The most requested topics cover AI automation for operations, AI agents and how they differ from chatbots, and team readiness for changing ways of working. The full topic and format list is on the Speaking page, and documentation of real sessions in companies and universities is in the portfolio.

For a specific city context, there is also a dedicated page on AI speaking in Makassar.

Conclusion

An AI seminar is a good tool for aligning understanding and a poor tool for building skill. If your goal is changing how people work, treat the seminar as the opening move and plan the next stage from the start.

To discuss a seminar, keynote, or campus session, see the topics and formats and get in touch through Contact.