olimpia mesaLEARNING DESIGN WITH AIReserve my place

NOVEMBER 2026 · BUCHAREST · IN PERSON

From AI prompts
to learning
programs.

Bring one real piece of work.
Leave with a redesigned program.

A one-day, hands-on learning design workshop
with Olimpia Mesa.

Reserve my place

Your real program. One working day. A limited group.

Participants collaborating around a table at a learning design workshop
HUMAN
JUDGMENT.
AI possibility.

LESS WATCHING. MORE MAKING.

Learn how to use AI throughout the learning design process to work faster, explore more possibilities and create stronger programs — without outsourcing the professional judgment that makes learning work.

THE REAL CHALLENGE

30seconds.

AI can create a
learning program.

Objectives. Agenda. Exercises. Case studies.
Reflection questions. Assessments.

And it can still be
bad learning design.

AI is astonishingly good at creating something that looks complete.

The new skill for learning professionals is not simply knowing how to prompt it.

It is knowing what to ask AI to do, what to decide yourself, what to challenge, what to verify — and when not to use AI at all.

That is what we will work on for one full day.

01 / THE APPROACH

Learning design first.
AI as an accelerator.

This is not a prompt-engineering workshop.

It is a learning design workshop in which AI becomes part of the design process.

We will use my T4HPL methodology as the learning-design backbone and AI as an accelerator.

At every stage of the design process, we will ask six questions:

01

What can AI do well here?

02

What must the learning designer still do?

03

Where is professional judgment essential?

04

What AI output needs to be verified or challenged?

05

What should never be delegated?

06

How do we know the final design is actually good?

Reserve my place ↗

02 / YOUR WORK, TRANSFORMED

Bring one.
Leave with one.

You will not practise on imaginary examples.

Bring one real piece of work.

It could be a workshop you already deliver, a new program you need to design, a corporate academy, a learning module, a client brief, or a course that is not working as well as you want.

Leave with a redesigned program.

Throughout the day, you will apply the methodology, prompts and quality criteria directly to your own work.

You will leave with something real — not just notes about what you could do later.

  1. Bring
  2. Work
  3. Redesign
  4. Leave with
    something real.

03 / THE TAKEAWAYS

The day ends.
The work stays with you.

By the end of the day, you should leave with:

01

Your own redesigned learning program

Not a template. Your actual piece of work, significantly improved during the day.

02

My AI prompts for learning design

The prompts I use to analyse, challenge, generate, structure and improve learning experiences through the different stages of T4HPL.

03

A repeatable AI-assisted design workflow

So your next program does not start with a blank document or a random AI conversation.

04

A refreshed T4HPL methodology

A fast recalibration of how people naturally learn and what good learning design needs to create.

05

A quality filter for AI output

How to recognise when something produced by AI looks impressive but is pedagogically weak.

06

Clear human/AI boundaries

What AI can accelerate, what requires your judgment, and what should never simply be delegated.

04 / THE BACKBONE

AI changes the speed of design.
It does not change how humans learn.

For approximately the first 90 minutes, we will refresh the T4HPL principles behind how people naturally learn.

  1. 01Engage
  2. 02Learn
  3. 03Practice
  4. 04Perform

Then we will work through the methodology again — this time asking, at every stage:
What can AI help us do better or faster?
and
What still depends on an excellent learning designer?

If you already know T4HPL, this is a high-speed recalibration. If you are new to the methodology, the refresh will give you the foundations you need for the rest of the day.

05 / IN THE ROOM

Expect a design studio,
not a conference.

Workshop participants discussing their work together

Short inputs.

Real design work.

AI experimentation.

Peer critique.

My feedback.

Redesign.

Repeat.

Hands arranging learning design materials on a workshop table

06 / THE DAY

One day.
Seven purposeful parts.

09:00–17:30 · Bucharest

Reserve my place
  1. 01

    Recalibrate

    T4HPL refresher: how people naturally learn

  2. 02

    Diagnose

    Before prompting AI: what are we actually trying to change?

  3. 03

    Design

    AI + Engage + Learn

  4. 04

    Build performance

    AI + Practice + Perform

  5. 05

    Don’t let AI fool you

    How to critique plausible-looking but weak AI learning design

  6. 06

    Build your workflow

    Your repeatable AI-assisted learning design process

  7. 07

    Finish the work

    Complete and critique your redesigned program

07 / A FAMILIAR FOUNDATION. NEW POSSIBILITIES.

You may already know T4HPL.
This is what comes next.

For many participants, this workshop is a return to a methodology they already use — now updated for a world in which AI can generate learning content almost instantly.

If T4HPL changed the way you design, this day is about learning how to keep the quality of that thinking while dramatically increasing the speed and range of what you can create.

08 / IS THIS YOUR KIND OF DAY?

This day is for you
if you design learning.

You do not need previous T4HPL experience.

If you already know the methodology, the first 90 minutes will work as a fast refresh.

If you do not, they will give you the foundations you need to work with T4HPL throughout the rest of the day.

09 / YOUR FACILITATOR

20years of asking

What actually
makes people
learn?

Olimpia Mesa

I’m Olimpia Mesa, learning designer and author of Cum învață oamenii.

Over the years, I have trained a significant part of Romania’s professional trainer community to design learning through my T4HPL methodology.

AI has now given us extraordinary new design capability.

But it has also made something much easier to confuse:

Producing learning content with designing learning.

This workshop is the way I currently combine both worlds: the science and craft of learning design I have developed over two decades, with the extraordinary speed and possibility AI gives us today.

The goal is not to let AI replace the learning designer.

The goal is to make a very good learning designer much more powerful.

10 / NOVEMBER 2026 · BUCHAREST

Bring your work.
Make room for possibility.

From AI prompts to learning programs

One day · 09:00–17:30 · In person · Limited group

EARLY BIRD

€375+ VAT

Limited early-bird places

STANDARD

€450+ VAT

Standard registration

LATE REGISTRATION

€500–525+ VAT

Final places

Registration details coming soon.

The exact date, venue and booking link will be announced here.

Bringing 3+ colleagues? A special team rate is available.
Company invoices can be issued.

11 / GOOD QUESTIONS

Before you
bring your work.

Do I need to know T4HPL already?

No. It is an advantage if you already know T4HPL, but it is not a prerequisite. We will begin with a 90-minute refresher that will give you enough understanding of the methodology — and of the neuroscience and cognitive principles behind how people naturally learn — to use it meaningfully throughout the rest of the day.

How experienced do I need to be with AI?

You need basic working experience with AI, and this should definitely not be your first time using it. This is not an introduction to AI or a course on how ChatGPT works; we will move quickly into using AI as part of a professional learning-design process.

Do I need a paid ChatGPT account?

A paid AI account is strongly recommended if you want to do serious, sustained work during the day. It does not have to be ChatGPT — you may use another professional AI provider such as Claude — but free plans can have limitations in capability, access and usage that may interrupt your work.

What exactly should I bring with me?

Bring the device you normally use to create: ideally a laptop, but an iPad can also work if that is part of your usual workflow. You will be designing and working with AI throughout the day, so spending the entire workshop on a smartphone is unlikely to be comfortable or efficient. If you normally work only on a desktop, please plan ahead and bring the device that will allow you to work properly.

What if I do not currently have a program to redesign?

That is absolutely fine. Choose a real or possible project you would like to create, and you can start building it during the workshop. The important thing is to work on something relevant enough that you can continue developing or using it afterward.

Will I receive the prompts afterward?

Yes. You will receive the prompts we use during the workshop in a shared online document, so you can return to them, adapt them and use them in your future learning-design work.

Is this primarily an AI workshop or a learning design workshop?

It is primarily a learning design workshop. AI is the accelerator, not the methodology. The focus is on making better learning-design decisions and using AI where it genuinely helps you think, explore, create and improve faster.

Will we actually work on our own programs during the day?

Yes — this is one of the central promises of the workshop. You will work on your own program or project throughout the day, applying the methodology, prompts and quality criteria directly to something that matters to you.

Is the workshop in Romanian or English?

All materials, frameworks and AI prompts will be in English. If the group is entirely Romanian-speaking, Olimpia will facilitate the workshop in Romanian. This gives you the advantage of working naturally in the room while leaving with materials you can also use in international or corporate contexts.

Can my company pay by invoice?

Yes. We can issue a business invoice to your company.

Can several people from one L&D team attend?

Yes, and it can be particularly valuable for colleagues from the same team to work together and build a shared approach to AI-assisted learning design. We offer a special rate for registrations of three or more participants from the same company.

MORE POSSIBILITY. THE SAME PROFESSIONAL JUDGMENT.

AI can generate more learning content than we could ever use.

The competitive advantage
will be knowing what
deserves to be designed.

Bring one real piece of work.
Leave with a redesigned program.

Reserve my place

November 2026 · Bucharest