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AI agents course for students in the Netherlands

Every student in the Netherlands now works under written rules for artificial intelligence. At the University of Groningen they fit on one page: use AI as a study tool if you like, say so when it produces new content, name the tool and its version, and never submit work that no longer reflects what you yourself know and can do. At the University of Amsterdam the starting point is that students must still demonstrably reach their learning goals on their own. Those rules are sensible, and they point to an important distinction. Using an agent to do your coursework may break them. Building an agent, understanding how it plans, which tools it calls, where it goes wrong and how to show your own contribution, is a subject worth studying in its own right. This page is for students who want that second thing, taught live online and in English.

Live teaching since 2020 · more than 10,000 students · agents taught by live teachers, step by step

In short

Modern Age Coders teaches students in the Netherlands to build AI agents, programs that take a goal, plan their steps and use tools, as a subject of study rather than a shortcut through coursework. Students learn how language models work, how agents call tools and retrieve documents, how to evaluate what an agent does and how to log and disclose it, in line with the kind of rules Dutch universities now publish. Lessons are live, in English, in groups of five to ten or one to one. The first lesson is free; after that a group place is USD 100 a month and one-to-one tuition USD 150, and the Copilot Studio course for students is one to one only.

Start here

Three agent courses for students

One for building agents from the model up, one for building agents inside Microsoft tools, one for directing AI coding agents. Each opens its own page with syllabus, format and fee.

University rules

What Dutch university rules on AI actually say

Two examples, read at the universities' own pages. Every institution and often every course has its own rules, so a student must always check theirs; these show the general shape.

The University of Groningen's basic rules for AI in education (last modified 28 October 2024)
RuleWhat it says, in summary
Use as a toolAI tools may be used as an aid for general functions: as a study tool, an assistant or input for your own work, such as brainstorming, summarising, improving grammar, translating or self-study
Disclose new contentWhen generative AI creates new content, always say so, giving the tool's name and version and the purpose and manner of use
Course rulesAny additional rules for a course are communicated before the course begins
What counts as fraudWork that no longer reflects your own knowledge and skills, or AI output submitted without proper acknowledgement or with incorrect disclosure
Detection toolsScores from AI-detection tools are not evidence of fraud; examiners remain responsible for judging authenticity

The University of Amsterdam's policy framework, updated on 3 June 2025, starts from the principle that students must still demonstrably achieve their learning goals independently. It asks programmes to explore actively what role generative AI can play in the curriculum, and leaves room for faculties and programmes to translate the policy into their own teaching.

Together the two show the shape of Dutch university policy: AI as a legitimate aid, openness about its use, and the student's own learning as the thing being assessed.

Notice the rule on detection tools. Groningen states plainly that a detector's score is not proof of fraud. That is an honest acknowledgement that such tools can be wrong, and a reminder that the best protection for a student is not hiding AI use but documenting it.

We have no connection with either university. Rules change and differ by course; always follow the ones that apply to you.

Sources: University of Groningen, basic rules for AI in education; University of Amsterdam, beleidskader en richtlijnen GenAI in het onderwijs. Read 15 September 2026. This is a summary, not advice on any particular course.

What you build

Using an agent for your coursework, or building one as your project

The distinction matters. The first can put a student on the wrong side of their university's rules. The second is exactly the kind of work those rules encourage: understanding the tool and being open about it.

An agent that plans and acts

Students build an agent in Python that receives a goal, breaks it into steps, calls tools such as a search function or a calculator, and reports what it did. Every step is written to a log, so the agent's reasoning can be inspected afterwards.

An agent that is tested

Students write a small set of tasks with known answers and measure how often the agent succeeds, where it fails and how it fails. An agent without an evaluation is a demonstration, not a result.

An agent that is disclosed

Every project ends with a short note: which models and versions it uses, what the student wrote and what was generated, and what the agent must not be trusted with. It is the same habit Groningen asks of students, practised on their own work.

Where the line usually falls (our guidance; your course rules decide)
ActivityUsually fineNeeds care
Asking an assistant to explain a conceptYes, as a study aidCheck the explanation against course material
Generating text or code for an assignmentOnly if the course allows itDisclose tool, version and use; make sure the work is still yours
Building an agent as your own projectYes, it is your workDisclose the models used and log what the agent did
Relying on an AI detectorNot as proofKeep your own drafts and logs instead

The table is our general guidance, based on the rules summarised above. It is not a ruling on any course; your programme's rules always come first.

Where it leads

From a student agent to work an employer can check

Agents are becoming ordinary tools at work. A student who can build one, test it and explain it is ahead of most graduates.

The foundations come first: Python, Git and some data structures. The college students page covers them, and the global AI agents course page explains agents in more depth.

For students who want to direct coding agents, agentic coding classes go further.

After graduation, the same skills continue on the AI agents course for professionals, which also covers what the AI Act asks of organisations.

For a sense of what university AI study involves, the Groningen academy page sets out a first year.

The rungs for student agent builders

From Python to an agent you can evaluate and explain

Agents sit near the top of the ladder for a reason. A student who cannot evaluate a model cannot judge an agent, and one who cannot program cannot see what the agent is doing.

The route for students building agents
RungWhat the student learns
1. Python fluencyPrograms written without an assistant
2. Git and logsVersioned work and a record of every change
3. Language modelsWhat a model does, how it is prompted and grounded
4. AgentsPlanning, tool calls, retrieval and limits
5. Evaluation and disclosureMeasured success rates and an honest account of the work

Why disclosure is a rung

Being able to say exactly what you built, what a model generated and how you checked it is a skill. Dutch universities now ask for it; employers value it; and it protects the student.

The complete order of subjects is on the coding roadmap.

Around blocks and exams

Students usually take two lessons a week and pause during exam weeks. A thesis with an agent component is often best done one to one.

The Copilot Studio course is taught one to one only.

The catalogue

Eight live courses for student agent builders

Grouped by stage. Every card opens the course page with its format and fee.

I

Foundations

Before any agent

AGENTS / BASE / 01

Python Masterclass

Python to an advanced level, the language most agents are built in.

Open the syllabus

AGENTS / BASE / 02

Git and GitHub for College Students

Versioned work and a visible history, the backbone of honest disclosure.

Open the syllabus

AGENTS / BASE / 03

Data Structures and Algorithms

The reasoning that lets a student judge what an agent's code costs.

Open the syllabus
II

Models and agents

Building and testing agent systems

AGENTS / BUILD / 01

Generative AI: LLMs, RAG and Agents

Language models, retrieval and agent design, with evaluation built in.

Open the syllabus

AGENTS / BUILD / 02

AI and Machine Learning Masterclass

The machine learning underneath, for students who want to go deeper.

Open the syllabus

AGENTS / BUILD / 03

AI Agents with Copilot Studio for College Students

Agents in Microsoft Copilot Studio; one to one only.

Open the syllabus
III

Coding agents

Directing agents that write software

AGENTS / CODE / 01

Codex and Claude Code

Setting coding agents tasks and reviewing their changes, on your own subscriptions.

Open the syllabus

AGENTS / CODE / 02

Vibe Coding for College

Building with AI help across the stack, and reading every line it produces.

Open the syllabus

How the classes run

Agent lessons around a student timetable

The teachers are in India, which does not change its clocks, so they are three and a half hours ahead of Dutch summer time and four and a half ahead of Dutch winter time. Students usually take evening or weekend lessons, at a time set in the free lesson and adjusted when a new block starts.

Evening

After lectures, Dutch time, by arrangement.

Weekend

Saturday or Sunday, good for longer agent-building sessions.

Daytime gaps

Where a timetable leaves space and a teacher is free, often one to one.

A free first lesson

You build a very small agent with a teacher, who sees your level and proposes a route.

Groups of five to ten

Students at the same level, useful for comparing how different agents fail on the same task.

One to one for theses

For a thesis or project with an agent component, and for the Copilot Studio course.

Logs from the start

Every agent writes a log from its first run, so evaluation and disclosure are never an afterthought.

In English

The language of the models, the tools and most technical master's programmes here.

Your own repository

Agents, evaluations and disclosure notes live in your own GitHub repository.

Student work

Projects our students published

Four live projects by our students. More on the student labs page.

NutriLife AI nutrition coach project screenshot

AI and ML

NutriLife

An AI nutrition coach that reads what you eat and works you toward a target.

by Bhavya · Open it

Misti AI chatbot for maths and coding screenshot

AI and ML

Misti

A chatbot that answers mathematics and programming questions, built and deployed by a student.

by Harshit · Open it

GuardianX AI internet safety assistant screenshot

AI and ML

GuardianX

An assistant that helps a young person recognise unsafe situations online.

by Vivaan · Open it

SkyCast weather forecast application screenshot

Web app

SkyCast

A weather forecasting site with live conditions for any location.

by Krish

Fees

Fees for students

Monthly, in US dollars, at the same rates as every country outside India. No enrolment fee and no annual contract. The Copilot Studio course is private tuition only and uses the one-to-one rate.

Free first class

USD 0

no card required

  • A real lesson building a small agent
  • A route proposed before any payment
  • No card needed
Book it

Group batch

USD 100

a month, billed in US dollars

  • Five to ten students at one level
  • The same live teacher each week
  • Agents reviewed weekly
  • A certificate at the end
Start here

One to one

USD 150

a month, billed in US dollars

  • A teacher for one student
  • Built around a thesis or project
  • The only format for Copilot Studio
Enquire

What families say

Rated 4.9 across 547 Google reviews

As posted on Google. We do not write, edit or pay for reviews.

★★★★★

"The one step solution for my son. Modern Age Coders make learning coding so simple that kids love it. The teachers explain complex concepts clearly with practical exercises and interactive content."

Ria Mukherjee

Parent

★★★★★

"Modern Age Coders has been a game-changer for me. I struggled to grasp IT concepts and coding before joining, but their classes transformed everything. I can now confidently write complex programs with ease."

Samriddha Mondal

Student

★★★★★

"One of the most wonderful education centres out there. Education is not limited to school syllabus but focuses on skill development."

Vansh Agarwal

Student

★★★★★

"My child Dhairya is really enjoying the Modern Age Coders classes. This is his first online class and he eagerly looks forward to it. I can already see his improvement, and the teachers are very cooperative."

Sonam Oswal

Parent of Dhairya

★★★★★

"Modern Age Coders have wonderful teachers who teach in a clear, easy and practical way. The teacher boosts students' confidence and inspires them to learn without hesitation."

Sonu Goyal

Parent

★★★★★

"I highly recommend this computer coding class! The teachers are incredibly knowledgeable and passionate about coding."

Ritu Kedia

Parent

Questions from students

What students in the Netherlands ask about agent courses

Am I allowed to use AI agents for my studies?

That depends on your university and course. At the University of Groningen, for example, AI may be used as a study tool, and generated content must be disclosed with the tool's name and version. Always check your own programme's rules.

Will this course help me do my assignments with AI?

No. It teaches you to build and understand agents as your own work. Using an agent to produce assessed work can count as fraud under Dutch university rules if the work no longer reflects your own knowledge and skills.

Can an AI detector prove I used AI?

The University of Groningen states that AI-detection scores are not evidence of fraud. Keeping your own drafts, logs and disclosure notes is the better protection.

What exactly is an agent?

A program given a goal rather than instructions, which plans its own steps and uses tools, such as search or code execution, to carry them out.

Do I need to know Python first?

Yes, at least the basics. If you do not, the free lesson will point you to the right starting course.

Is the Copilot Studio course available in groups?

No, it is taught one to one only, because agents are built around specific systems and permissions.

Do I need subscriptions for Codex or Claude Code?

Yes, for the coding agents course you use your own accounts, so everything you build is yours.

What does it cost?

USD 100 a month for a group place and USD 150 a month for one-to-one lessons, billed in US dollars, with no enrolment fee and no yearly contract. The first lesson is free.

When are lessons held?

Evenings and weekends, Dutch time, around your timetable. The teacher is three and a half hours ahead in summer and four and a half in winter.

What happens after I send the form?

We call you at a Dutch hour to arrange the free lesson. Nothing is charged unless you decide to continue.

Elsewhere on this site

More for students and agent builders

Related pages for foundations and for what comes after.

Coding for college students

The foundations every agent builder needs.

AI agents course for professionals

The same skills at work, with the AI Act in view.

AI agents course

The global page on what agents are and how they are built.

Agentic coding classes

Working with coding agents in depth.

AI and Python Academy, Groningen

What a university AI first year asks.

AI and Python Academy, Netherlands

The national ladder from Python to agents.

Start here

Build your first agent in a free lesson

Leave a number and we will call at a Dutch hour. In the free lesson you build a very small agent with a teacher, and by the end you know which rung to start on.

Would you like to read first? See the AI agents course page, how we teach and the course list.

WhatsApp us · +91 91233 66161 · contact@modernagecoders.com

WhatsApp from a Dutch number is free and usually fastest. The number is Indian; we have no office or premises in the Netherlands.

No card, no commitment. One call to set up the lesson.

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