Ireland · Third level and senior cycle · Live online

AI agents course for students in Ireland

When the Central Statistics Office first asked about generative AI, in its 2025 household survey, students came out on top: 66% of students had used a tool such as ChatGPT or Copilot in the previous three months, against 46% of employees and 42% of all internet users. Most of them used it for their studies. Irish colleges have been clear about where the line sits. The National Academic Integrity Network's guidelines say students must be told that submitting the output of generative AI as their own work, without authorisation, is academic misconduct. So there are two very different ways a student can spend time with AI agents. One is asking an agent to do the work, which may break the rules and teaches very little. The other is building an agent: deciding what it may do, giving it tools, measuring how often it is right, and writing down honestly what you built and what the model generated. This page is about the second, taught live online to students in Ireland.

Live classes since 2020 · over 10,000 students taught · agents built, tested and disclosed

In short

An AI agent is a program in which a language model directs its own steps and tool use to reach a goal. The best way for a student to learn about agents is to build one as their own work, test it against questions with known answers, and disclose what the model produced, which is also what Irish academic integrity guidance expects. Modern Age Coders teaches students in Ireland to build agents in Python, live online, in groups of five to ten or one to one. A first class is free. Then a group place costs USD 100 a month and one-to-one tuition USD 150 a month; the Copilot Studio course is taught one to one only.

Start here

Three ways into building agents

From the model upwards, inside a platform many employers use, or directing agents that write code. Every card opens its syllabus and format.

Students and AI

Students in Ireland and generative AI: what the CSO found

The figures below come from the CSO's 2025 household survey, the first to ask about generative AI. It covers internet users aged 16 and over, and "student" means people whose main status is student, at second or third level.

Use of generative AI in the previous three months, 2025, CSO release and tables ICA320 and ICA322
MeasureFigure
All internet users aged 16 and over who had used generative AI42%
Students who had used it66%
Employees who had used it46%
Of students who used it: for formal education62%
Of students who used it: for private purposes60%
Of all users: for educational purposes28%
Of people who had not used it: said they did not know how20%

The CSO defines generative AI as a form of AI designed to generate human-like content, "which can be text, audio, images, videos, programming code, etc.", and names ChatGPT, Copilot and Gemini among the tools.

So when a student in Ireland reaches for an AI tool, writing code is one of the things it is built to do. The question is whether the student can judge that code.

Look at the base of each row. The 62% describes students who had used generative AI, not all students. Since 66% of students had used it, the share of all student internet users who used it for formal education is nearer 41%, by our arithmetic.

That kind of slip is exactly what an agent makes when it summarises a table carelessly, which is why the first agent project on this page is built around it.

Sources, read 16 September 2026: CSO, Household Digital Consumer Behaviour 2025: Generative AI (5 December 2025); CSO tables ICA320 and ICA322. The 41% is our own calculation from the published figures.

Integrity guidance

What Irish academic integrity guidance says about generative AI

The National Academic Integrity Network, facilitated by Quality and Qualifications Ireland, published guidelines for educators on generative AI in 2023. Each college sets its own policy, but these lines show the national thinking.

NAIN, Generative Artificial Intelligence: Guidelines for Educators (foreword dated July 2023)
ThemeIn the guidelines' words
Misconduct"There must be clear information for students that unauthorised submission of the output of GenAI as their own work constitutes academic misconduct and will be treated accordingly."
Own work"It is important that students submit work that they have produced and acknowledge the sources used"
Authorised use"If you identify a particular appropriate role for GenAI in your courses, then ensure that students are aware of what constitutes authorised and unauthorised use."
Limits of the toolsThey "can give unreliable answers whilst appearing confident and convincing."

Two ideas run through the guidelines. Credit is for the student's own work, and the difference between authorised and unauthorised use is set by the course, so a student has to know their institution's policy and be able to draw the line.

The guidelines also describe these tools as largely relying on statistical predictions of word combinations, not expertise. That is a good sentence to keep in mind while building an agent on top of one.

Our position is simple. We never produce, edit or check work that will be submitted for assessment. What we teach is building agents as the student's own projects, with a written record of what the model generated.

That record, a note naming the models and versions used and separating the student's own code from generated code, is a habit that protects a student under any policy. More on this is on understanding the code instead of copy-pasting.

Sources: QQI, NAIN publishes GenAI guidelines for educators (8 September 2023) and the guidelines themselves, read 16 September 2026. This is a summary, not advice about any course; your own institution's rules always apply.

A first agent

What an agent is, and a first one to build and test

Anthropic, which makes the Claude models, draws a useful line in its engineering guidance of December 2024. "Workflows are systems where LLMs and tools are orchestrated through predefined code paths." Agents, by contrast, "are systems where LLMs dynamically direct their own processes and tool usage, maintaining control over how they accomplish tasks."

The first project is an agent that answers questions about Irish statistics. It has two tools: one fetches a CSO table, one runs a small calculation. Given a question, it decides which table to fetch, reads it, calculates and answers, writing every step to a log.

Then comes the part most tutorials skip. The student writes twenty questions whose answers they have checked by hand, runs the agent on all twenty, and counts how many it gets right.

The questions are chosen to catch the agent out. Real CSO tables contain traps that a language model walks straight into, and each one becomes a test the agent must pass before the student trusts it.

Students who want to direct agents that write software rather than answer questions go on to agentic coding classes; the wider picture is on the AI agents course page.

Test 1: the base

Asked what share of students use AI for their studies, a careless agent answers 62%. That figure is a share of students who used AI; the right answer needs the 66% as well.

Test 2: repeated rows

The CSV download of table ICA319 repeats some rows: the male and female figures for ages 16 to 29 each appear twice. An agent that averages raw rows gets the wrong result without any warning.

Test 3: who is counted

The CSO's 72% refers to young men aged 16 to 29 only. The figure for that whole age group is 65%. An agent that reports 72% for all young people fails the test.

Sources: Anthropic, Building effective agents (19 December 2024); CSO table ICA319, read 16 September 2026.

Where it leads

From a student agent to work an employer can inspect

An agent with a test set and a disclosure note is a portfolio piece that shows judgement, not just enthusiasm.

Foundations first

Agents are built on Python, version control and some data structures. The coding for college students page covers them for Irish third-level students.

Training, not only prompting

Students who want to know how the underlying models learn can go further on learning to train AI.

At work

After college the same skills continue on the AI agents course for professionals, which covers agents inside organisations.

The rungs

Five rungs from Python to an agent you can defend

A student who cannot read code cannot tell what an agent did. The ladder starts with the language and ends with evidence.

The route for students building agents
RungWhat the student can do
1. Python without helpWrite and debug programs with no assistant switched on
2. Version controlKeep every change in Git, so the history shows who wrote what
3. Models and retrievalCall a language model and ground it in chosen documents
4. Tools and agentsLet a model choose and call tools, with limits and a log
5. Tests and disclosureMeasure the agent against known answers and write an honest note

Why disclosure is a skill

Saying exactly what you built, what a model produced and how you checked it is harder than it sounds. Irish guidance asks students to acknowledge sources, and an agent project is where the habit becomes second nature.

How agents connect to the rest of computing is shown on the coding roadmap.

Around semesters and exams

Most students take one or two lessons a week in term and pause for exams. Many Irish universities run semesters from September to December and January to May, and lessons follow that pattern.

The Copilot Studio course runs one to one only, because each agent is built around particular systems.

The catalogue

Eight live courses for student agent builders

In the order most students take them. Every card opens a course page with its syllabus and format.

I

Groundwork

What every agent stands on

AGENTS / GROUND / 01

Python Masterclass

The language nearly all agent code is written in, to an advanced level.

Open the syllabus

AGENTS / GROUND / 02

Git and GitHub for College Students

A history of every change, which is half of any honest disclosure.

Open the syllabus

AGENTS / GROUND / 03

Data Structures and Algorithms

Enough theory to judge whether an agent's code is any good.

Open the syllabus
II

Building agents

Models, tools and platforms

AGENTS / BUILD / 01

Generative AI: LLMs, RAG and Agents

From a single model call to an agent with tools and a test set.

Open the syllabus

AGENTS / BUILD / 02

Python and AI Automation

Scripts that call models and services to get real jobs done.

Open the syllabus

AGENTS / BUILD / 03

AI Agents with Copilot Studio for College Students

Agents on Microsoft's platform, taught privately only.

Open the syllabus
III

Agents that write code

Directing and reviewing

AGENTS / CODE / 01

Codex and Claude Code

Handing coding agents real tasks and reviewing each change line by line.

Open the syllabus

AGENTS / CODE / 02

Vibe Coding for College

Building quickly with AI across the stack while reading all of it.

Open the syllabus

How the classes run

Agent lessons around lectures and labs

All lessons are live, with teachers who work from India. India has one clock all year and Ireland has two, so the gap is four and a half hours during Irish summer time and five and a half from late October to late March. Students usually pick an evening after lectures or a weekend block, fixed in the free class.

Evening

After lectures and labs, Irish time.

Weekend

Longer sessions for building and testing an agent.

Free afternoons

Where a timetable has gaps, usually one to one.

Build an agent in the free class

A tiny agent with one tool, built with the teacher, who then suggests where to start.

Groups of five to ten

Students at one level, comparing how their agents fail on the same test questions.

One to one

For a final-year project with an agent in it, and for the Copilot Studio course.

A log from the first run

Every agent records each step it takes, so testing and disclosure are built in from day one.

Never assessed work

Teachers do not write, edit or check anything that will be submitted for credit.

Your repository

Agents, test sets and disclosure notes live in the student's own GitHub account.

Student work

Work our students have shipped

Four live projects from our students, of all ages. The student labs page has the rest.

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 rate we charge in every country outside India, with no enrolment fee and nothing to sign for the year. The Copilot Studio course is private only and uses the one-to-one rate; the coding agents course needs your own paid accounts for the tools.

Free first class

USD 0

no card required

  • A small agent built with a teacher
  • A suggested route before you pay anything
  • No card details
Book it

Group batch

USD 100

a month, billed in US dollars

  • Five to ten students at one level
  • One live teacher throughout
  • Agents and tests reviewed each week
  • A certificate at the end
Start here

One to one

USD 150

a month, billed in US dollars

  • A teacher for one student
  • Shaped around your own project
  • The only format for Copilot Studio
Enquire

What families say

Rated 4.9 across 547 Google reviews

Word for word from Google. We have never paid anyone for a review or written one ourselves.

★★★★★

"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 Ireland ask about learning to build agents

Can I use AI agents for my college work?

That depends on your institution and each module. Irish academic integrity guidance says unauthorised submission of generative AI output as your own work is academic misconduct, so check what your course allows.

Will you help with my assignments or project?

No. We never write, edit or check work that will be submitted for assessment. We teach you to build agents as your own projects, outside your coursework.

What is the difference between an agent and a chatbot?

A chatbot answers. An agent is given a goal and decides its own steps, choosing and calling tools such as search or code execution along the way.

Do I need to know Python?

Yes, at least the basics. If you do not yet, the free class will show which foundation course to take first.

How many students in Ireland use generative AI?

The CSO found that 66% of students aged 16 and over had used it in the three months before its 2025 survey, compared with 46% of employees.

Can I take the Copilot Studio course in a group?

No. It is taught one to one only, because each agent is built around particular systems and permissions.

Do I need subscriptions for the coding agents course?

Yes. You use your own paid accounts for the tools, so what you build stays yours.

What do the classes cost?

Your first class is free. A group place is then USD 100 a month and one-to-one lessons USD 150 a month, charged in US dollars, with no enrolment fee and no contract for the year.

When are the classes?

Evenings or weekends at a time you choose in the free class. Our teachers are four and a half hours ahead of Irish time in summer and five and a half in winter.

What happens once I send my number?

Someone from our team calls you at a sensible Irish hour to set up the free class. You pay nothing unless you choose to continue.

Elsewhere on this site

More for students in Ireland

Foundations, deeper AI and what comes after college.

Coding for college students in Ireland

The foundations under every agent.

Learn to train AI, not just prompt it

How the models learn.

AI agents course for professionals

Agents inside organisations.

Understand the code, do not copy-paste

AI help without losing the learning.

AI agents course

The global page on agents.

AI and machine learning classes in Ireland

The national AI page.

Start here

Build a first agent in a free class

Leave your number and we will ring at an hour that suits you in Ireland. In the free class you build a very small agent with a teacher, and you leave knowing which rung to start on.

To look around first, there is the AI agents course page, an account of how our lessons work, and the full course list.

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

WhatsApp works too and is usually the fastest way to reach us; messaging from an Irish number costs nothing. It is an Indian number, as our whole team is in India, and we have no Irish office.

Nothing to pay and no commitment. One call to arrange the class.

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