Practice before theory
Work with real patterns and examples that have been made safe in advance.
AI training for the entire organisation
From a first prompt to independent AI implementation.
Four learning tracks build on each other. Employees learn to use AI safely, teams learn to improve results and advanced non-programmers learn to introduce and manage suitable AI solutions independently.
Learn by doing, within demonstrable boundaries.
Every course uses recognisable work from the organisation. Participants practise with approved data, learn to check outputs and record where human judgement remains necessary.
Safety at every step
Privacy, information security, copyright and supplier risk are part of every level.
Demonstrate results
Each level ends with an assignment, feedback and concrete learning outcomes.
Consistent AI workspace
Every course uses Codex as its base model.
Participants do more than chat with AI. They use Codex for concrete tasks, reusable instructions, skills, controls and working solutions. When an exercise takes place outside Codex, we use ChatGPT Plus.
Required: access to Codex. Exercises carried out in ChatGPT require a ChatGPT Plus subscription. We agree in advance which accounts the organisation can use safely.
Why this payoff
We register AI, you improve it.
Many AI providers are strong in one area. A training provider transfers knowledge but does not build. A technology provider implements, but may not bring the team along. As a result, a promising idea too often remains an isolated pilot.
Recognise
We identify the processes where AI can deliver measurable value and clarify the goal, owner, risks and measures.
Build
We turn promising ideas into a working, safe solution that fits the real process.
Adopt
We teach the team to understand, use, check and independently improve the solution.
Registration preserves what was selected, built and learned. The organisation can then continue improving, allowing AI to deliver structural returns instead of remaining a pilot.
Would you like to try a short online lesson first?
Try our e-learning sample about reviewing AI outputs. This is a standalone sample; a complete online programme remains a proposal.
01
Group 1 · Beginner
AI-aware employee
For every employee who wants to understand and use AI safely.
Participants recognise opportunities and risks, write useful instructions and check an AI output before using it.
Duration1 course day
FormatOpen course at StartDock
Price€500.00per participant for the full day
Location: StartDock in Amsterdam, Rotterdam or Utrecht
Course days
- 01A safe and informed start with Codex
Move from a good assignment and safe input to assessing, improving and responsibly using the output.
Topics and skills
- What generative AI can and cannot do
- Handling personal and company information safely
- Writing clear prompts with goals, context and boundaries
- Checking facts, sources, bias and errors
Final assignment: perform one daily task safely and explain the selected controls.
Register for this course ↓
02
Group 2 · Practitioner
Productive work with AI
For employees who regularly use AI for text, analysis, customer contact or administration.
Participants create repeatable working methods that save time while preserving quality, confidentiality and human responsibility.
Duration1 in-company day
FormatIn-house at your organisation
Price€1,500.001 day at €1,500.00, per group
Location: At your organisation, scheduled by agreement
Course days
- 01From an isolated prompt to a consistent AI workflow
Build a repeatable workflow in Codex, add quality controls and record how colleagues can use it safely.
Topics and skills
- Break down work processes and choose suitable AI steps
- Reusable prompts, instructions, templates and simple skills
- Quality criteria, review points and error handling
- Collaboration, version management and transparent records
Outcome: use Codex to build and test a concrete AI proposition for an internal process and record how the team uses it safely.
Register for this course ↓
03
Group 3 · AI coordinator
From opportunity to controlled use
For team leaders, process owners, quality specialists and internal AI champions.
Participants select valuable applications, organise a pilot and record ownership, risk, data, cost and controls.
Duration3 in-company days
FormatIn-house at your organisation
Price€4,500.003 days at €1,500.00 per day, per group
Location: At your organisation, spread across approximately 4 to 6 weeks
Course days
- 01Value, process and baseline
Select processes, determine current cost and quality and define a measurable goal with a clear owner.
- 02Pilot, risk and supplier selection
Design the pilot in Codex, assess data, models, suppliers and human controls and create a safe test plan.
- 03Adoption, evidence and decision
Assess results, document deviations and costs and make a reasoned decision to stop, improve or implement.
Topics and skills
- Compare use cases by value, feasibility and risk
- AI Act, GDPR, information security and human oversight
- Assess suppliers, models, data locations and contract terms
- Adoption, training, incidents, evaluation and periodic review
Outcome: deliver a working, scoped AI proposition with an owner, measures, risk controls and a decision point.
Register for this course ↓
04
Group 4 · Advanced
Implement AI independently
For non-programmers with strong AI skills who want to select and introduce new solutions independently within their organisation.
Participants lead an implementation from problem definition to use, select suitable tools and skills and demonstrably organise safety, evaluation, adoption and management.
Duration6 in-company days
FormatIn-house at your organisation
Price€9,000.006 days at €1,500.00 per day, per group
Location: At your organisation, spread across approximately 8 to 12 weeks
Course days
- 01Problem, process and success criteria
Map the existing process, stakeholders, risks, costs and desired outcome precisely.
- 02Select the solution, tools and skills
Compare models, agents, tools, skills and suppliers and justify the choice based on value, safety, management and exit options.
- 03Safe design and governance
Define the data flow, roles, access, human control, logging, fallback and registration file.
- 04Build and test with Codex
Build a scoped solution, create a representative test set and systematically improve errors and exceptions.
- 05Implementation and team adoption
Create work instructions, train users, organise feedback and prepare a controlled launch.
- 06Embed and improve independently
Assess the final project, establish monitoring and review and transfer management, evidence and the improvement cycle to the organisation.
Topics and skills
- Solution design: process, data flow, roles, integrations and fallback
- Compare tools, models, agents, skills and suppliers independently
- Configure, test and evaluate safely; control cost and arrange exit
- Lead implementation: decisions, instructions, evidence, monitoring and improvement
Master assignment: implement a working, bounded solution with a test set, risk analysis, supplier choice, user instructions and control plan. Programming is not required.
Register for this course ↓Course calendar
A starter course every Tuesday.
The starter course follows a fixed four-week cycle: Utrecht twice, Rotterdam once and Amsterdam once. Every open course day takes place at StartDock.
Week 1 · Utrecht
StartDock Utrecht
Week 2 · Rotterdam
StartDock Rotterdam
Week 3 · Utrecht
StartDock Utrecht
Week 4 · Amsterdam
StartDock Amsterdam
Upcoming Tuesdays
The four-week cycle continues in months with five Tuesdays, so a starter course remains available every Tuesday.
We schedule the other courses in-company.
Productive work with AI, From opportunity to controlled use and Implement AI independently take place at your organisation. We write the programme around your company and agree the course days and practical assignments between sessions together.
Written around your company
Learn while building a working proposition.
An in-company course begins with your organisation, processes, employees, data, systems and boundaries. We write the course around that practice and use Codex during the course to build a concrete solution that can immediately be assessed within the company.
Your process as course material
We select a scoped internal process with a recognisable problem, owner and measurable goal in advance.
Working AI proposition
The course produces a testable workflow or solution, including assumptions, costs, risks and success criteria.
Transfer to the team
Users learn to apply and check the solution; ownership, instructions and next steps remain with the organisation.
The technical scope is bounded during the intake. A course day promises a working and testable proposition within that scope, rather than an unlimited production implementation.
Learning route structure
Enter at the right level.
A short intake determines the starting level. Prior experience counts; demonstrated competence matters more than the number of lessons attended.
Intake and baseline
Work, experience, approved tools and key risks are identified in advance.
Practise in your own context
Assignments reflect organisational processes and use safe practice data.
Practical assessment
Participants demonstrate the outcomes through an assignment and explain their decisions.
Embed within the organisation
Working methods, roles, controls and follow-up actions are documented for transfer.
More than attendance
A certificate of attendance confirms participation. A certificate of achievement is only issued when the practical assignment meets criteria shared in advance. It is not ISO certification or a statement of legal compliance.
Registration
Choose the course and suitable location.
For the starter course, choose an available Tuesday at StartDock. We schedule the other courses in-company at your organisation.
A registration is a request. We personally confirm the date, location, group size and final schedule.