AI training for teams that need to build, not just listen.
Practical seminars and hands-on workshops for product and engineering teams who need to get specific about AI — what to change, what to build, and what to stop debating.
Your trainer
Viljar Võidula
Founder, Forgemaster
Miros — Interim CTO
Shipped AI-powered e-commerce search to production for brands including Revolve and Jomashop. Led the technical team building and deploying models that handled real production traffic.
Veriff — Team Lead
Led engineering teams building and scaling identity verification infrastructure that processed millions of verifications.
What this is
Seminar, workshop, and delivery thinking in one format.
Understand the landscape
Cut through the noise, map the current AI landscape to your team, and separate real opportunities from expensive distractions.
Adjust the process
Rework product and engineering habits so experimentation, delivery, and decision-making actually fit AI-enabled work.
Build something meaningful
Use the workshop to configure tooling, test workflows, and leave with something tangible instead of a folder full of notes.
What teams leave with
Practical outputs, not just AI vocabulary.
The goal is not to make the team feel informed for a week — it is to leave with clearer decisions, shared language, and something real the team can continue building on.
Clarity on what matters now
A faster way to close the gap when the team feels behind on the latest AI landscape.
Strategy grounded in your constraints
A clearer direction built around your actual team, product, and technical reality.
Adjusted delivery process
Product and engineering habits reworked so AI-enabled work actually ships.
Better tooling decisions
Concrete choices with less guesswork and fewer expensive detours.
Shared language across the team
Product and engineering aligned on what AI means in your actual context.
Something real to build on
A prototype, configured workflow, or starting point the team can keep developing.
Formats
Tailored to the team, not forced into one package.
Leadership seminar
For founders and leaders
A focused session for leadership teams that need a realistic picture of where AI changes product, engineering, and execution.
Hands-on team workshop
For product + engineering
Cross-functional working sessions that turn strategy into team decisions around process, workflows, and practical experimentation.
Multi-day intensive
For teams ready to build
A tailored multi-day format for teams who want to align, set up tooling, and leave with real momentum rather than a workshop summary.
Who it is for
Built for teams trying to move from pressure into practice.
Product teams
The roadmap feels like guesswork since AI changed everything.
Trying to understand where AI genuinely changes the roadmap and where it does not.
Engineering teams
The team is experimenting, but nothing is gaining traction.
Adapting architecture, tooling, and delivery practices to new ways of building.
Leadership teams
Everyone wants an AI strategy. No one can agree on what that means.
Looking for a grounded direction instead of buzzwords, hype cycles, and random experiments.
Not a good fit
This work is direct and demanding. If your team is not serious about changing how it operates, this is the wrong room.
- 1
You are looking for unrealistic shortcuts.
- 2
You are not planning to change how the team actually works after this.
- 3
You like to waste everyone's time in meeting rooms.
- 4
You redefine the roadmap every two weeks without ever following it.
- 5
You expect high-value results with no effort or commitment on your own behalf.
- 6
You hire 'leftovers' and do not value high-performance operating principles.
Sample schedule
A real day, not a vague outline.
This is a representative full-day team workshop. Shorter formats compress the core sessions. Multi-day intensives add depth and more hands-on time.
Every schedule adapts — to what you are building, where you are stuck, and what decisions you need to walk away with.
09:00
Where does your team actually stand?
Honest group assessment of current AI skills, tooling adoption, and where the team genuinely is versus where leadership thinks it is.
09:45
AI landscape, relevant to your stack
Not every AI tool on the market — a targeted map of what matters given what you are already building and where you realistically want to go.
11:00
What to prioritise in the next 90 days
Where AI genuinely changes how you work and where it is still noise. A clear hierarchy of what to do first, second, and what to leave for later.
12:00
Where your delivery process breaks with AI
The specific handoffs, habits, and decisions in your current workflow that stop working once AI is involved. Named, mapped, and ready to fix.
13:30
Tooling decisions: what to use and why
Not a vendor comparison. A framework for evaluating tools against your team's actual constraints, so decisions stick and don't get reversed three weeks later.
14:30
Hands-on build session
The team works on something real — a configured workflow, a prototype, an integration. The goal is to leave with something working, not a plan to start working.
16:00
What changes starting Monday
A concrete, realistic plan for what the team should do differently after today. Not aspirational goals — actual process changes the team agrees to try.
What makes this different
This is not a fixed AI course and it is not consultant theater.
The training is shaped around the team, the product, and the decisions that actually matter. It is direct, practical, and built around getting the team to a place where AI genuinely changes how you work — not just how you talk about it.
Typical
A fixed certification course
Forgemaster
Tailored to your context
Typical
One team in isolation
Forgemaster
Product and engineering together
Typical
Slide-deck theater
Forgemaster
Hands-on, delivery-oriented
Typical
Generic frameworks and abstract advice
Forgemaster
Practical process change and real outputs
Example session
Claude meetup talk: AI basics for enterprise teams
Viljar gave this talk at a Claude community meetup in Tallinn. It is a public recording, not a session recording — the real workshops are private and tailored.
Not a workshop — no exercises, no hands-on work. But the tone is the same: no buzzwords, no roadmap hype, and no vague advice about moving fast or leveraging synergies.
Viljar Võidula
FAQ
The practical questions teams usually ask.
Is the training remote or on-site?
It can be either. Remote sessions work well for distributed teams. On-site works better when hands-on work or team cohesion is the priority. We can discuss what fits best.
Is the training tailored?
Yes. The whole point is to adapt the content, examples, and exercises to what your team is actually building and where you are stuck — not to deliver a canned curriculum.
Do you work with both product and engineering teams?
Yes. In most cases the best results come from having both sides in the room at the same time.
Can you help us choose tooling?
Yes. Tooling decisions are part of the workshop — not as a vendor recommendation, but as a structured way to evaluate what fits your team's constraints.
Do we actually build something during the training?
That is the goal whenever the format allows it. The hands-on sessions are designed to produce something the team can keep developing after the workshop ends.
How long does a training usually last?
It depends on the goal. We can shape half-day sessions, full-day workshops, or multi-day intensives.
Give your team an AI workshop that ends with momentum.
If you want your team to move past theory and start building with clarity, we can design a training around your context.