AI Agents Course for University Students in the UK

In short

UK graduate employers expect AI to reshape entry-level work rather than remove it, and they increasingly doubt applications that AI may have polished: in the ISE Student Development Survey 2026, two-thirds believed candidates were using AI to misrepresent their skills. Evidence that a student can build and reason about AI systems therefore carries weight. Modern Age Coders teaches UK university students to build an AI agent as a personal project, grounded in documents, connected to tools, tested against known cases and kept in version control, and to explain it without notes. We never work on coursework, dissertations or anything submitted for assessment. Lessons are live and online, in small groups or one to one. The first class is free; afterwards a group place is USD 100 a month and one-to-one lessons USD 150 a month, with the Copilot Studio course taught one to one only.

Start here

Three places a student can begin

Engineering from the model up, an employer platform, or coding agents. Each card opens the full syllabus.

ASU / 01

Generative AI: LLMs, RAG and Agents

How models are prompted, grounded, given tools and measured, built in Python rather than taken on trust.

Open the syllabus →

AI Agents with Microsoft Copilot Studio for College Students course thumbnail

ASU / 02

Copilot Studio for Students

Agents built on Microsoft's platform, grounded in documents and connected to tools. Taught one to one only.

Open the syllabus →

ASU / 03

Codex and Claude Code

Directing coding agents through a real repository and reviewing each change they propose.

Open the syllabus →

What employers say

Entry-level work is being reshaped, not removed

From the Institute of Student Employers, reporting on 7 May 2026 its Student Development Survey 2026, which ran in January and February 2026 and drew 144 employer responses.

Graduate and apprentice employers on AI, ISE Student Development Survey 2026
Finding	Share of employers
Expect AI adoption to reshape graduate and apprentice roles	87%
Of which, foresee minor adjustments to tasks	58%
Of which, anticipate significant changes	29%
Say entry-level roles have already evolved without a formal redesign	43%
Expect to replace no entry-level roles with AI	40%
Expect a small number replaced, 1 to 10% of roles	42%
Expect larger-scale replacement, more than 10%	18%
Believe candidates use AI to misrepresent skills	Two-thirds, up from around half in 2025

The work changes shape

The ISE's reading is that the shift "is less about jobs disappearing and more about tasks evolving". Employers expect AI to take away some routine admin, basic data and writing tasks, and they named critical thinking, AI literacy, communication and adaptability as the skills that will grow in importance.

Put simply, the graduate who can judge whether an AI output is right is worth more than the one who can only produce it.

The trust problem

The same survey found two-thirds of employers believed graduates and apprentices were using AI to misrepresent their skills, up from around half in 2025. Every application now arrives under a little more suspicion.

The answer is not to avoid AI but to bring evidence that survives questioning: something you made, with a history, which you can take apart in front of an interviewer.

Taught after hiring

Employers are "almost twice as likely to build digital literacy on the job than recruit for it", so knowing a list of tools is not what sets a candidate apart.

Already changing

43% of employers said their entry-level roles had already evolved in response to AI without being formally redesigned. The job advert may lag the job.

Worried for new hires

54% of employers said they were concerned about the future impact of AI on new hires, and are adjusting development programmes in response.

Source, read 21 September 2026: Institute of Student Employers, Entry-level work reshaped not replaced, 7 May 2026. The ISE surveys its employer members; the figures describe those who responded, not every UK employer.

University rules

Your university's AI rules come first

The Russell Group's principles on generative AI, launched in July 2023, show how UK universities approach the question. Your own university and department set the rules that apply to you.

The five Russell Group principles, as published
Principle	Wording
1	"Universities will support students and staff to become AI-literate."
2	"Staff should be equipped to support students to use generative AI tools effectively and appropriately in their learning experience."
3	"Universities will adapt teaching and assessment to incorporate the ethical use of generative AI and support equal access."
4	"Universities will ensure academic rigour and integrity is upheld."
5	"Universities will work collaboratively to share best practice as the technology and its application in education evolves."

Rules differ by module

The principles say that "All 24 Russell Group universities have reviewed their academic conduct policies" to reflect generative AI, and that appropriate uses are "likely to differ between academic disciplines". One module may welcome an AI tool with acknowledgement; the next may forbid it outright.

So the only safe answer to whether a tool is allowed in a given piece of work is the one in your module handbook, or from your module leader. The principles themselves encourage students to ask about specific cases openly.

Where we stand

We never write, edit, debug or review anything you will submit for assessment: coursework, lab reports, dissertation code, take-home tests. The agent you build with us is a separate project of your own, chosen so that it overlaps with no assessed work.

If you later want to use it in a module, that is a question for your department, and you should acknowledge it however your university requires.

One line in the principles is worth keeping on a card above your desk. When information generated by these tools moves into another context, "accountability for the accuracy of information generated by these tools when transferred to another context lies with the user". That is true in a seminar, and it is exactly what an employer will expect of you with an agent at work.

Source, read 21 September 2026: Russell Group principles on the use of generative AI tools in education (PDF); launch date from the Russell Group's own news page. Universities outside the Russell Group publish their own policies.

Evidence that counts

Turning a claim on your CV into something checkable

When employers suspect AI-polished applications, the claims that hold up are the ones with evidence behind them. This is the evidence the course produces.

From a CV line to proof
What the CV says	What backs it up	What an interviewer can do with it
Built an AI agent	A public repository with a readable commit history	Scroll back and see the work happen over weeks, not overnight
Tested it properly	A file of test cases with expected answers, and the pass rate	Pick a case and ask why it fails
Understands retrieval	A note on which documents the agent can see and how they are split	Ask what happens when the answer is not in them
Knows the limits	A short list of known failures in the README	Ask which one worries you most, and why
Can work with others	Pull requests, reviews and issues, even on a solo project	Read how you respond to your own mistakes

None of this needs a famous project. A small agent with honest documentation beats an ambitious one that only works in a demo. The test that matters is simple: could you rebuild the core of it from memory, on a whiteboard, and explain each choice? If the answer is yes, the project is yours in the way an interviewer cares about.

Why version control matters here

A commit history is the one piece of evidence that is hard to fake after the fact. Small, frequent commits with clear messages show how you think, where you got stuck and how you got out.

Git and GitHub are taught alongside the agent work for that reason, not as an afterthought.

Why failures belong on the page

Listing what your agent gets wrong feels like undermining it. In practice it is the strongest signal of judgement you can give, because it proves you tested it seriously.

The same habit is what employers mean by critical thinking and AI literacy: knowing when not to trust the output.

Projects

Agents students build, and the limits built into them

Each project is small enough to finish in a term, useful enough to matter, and bounded so that it cannot do harm when it goes wrong.

Three starter projects
Agent	What it does	The limit that makes it safe
Society events helper	Answers questions about a student society's events from its published calendar and constitution	Answers only from those documents and says so when it cannot
Application tracker	Reads job adverts you save, extracts deadlines and requirements, drafts a checklist	Drafts, never sends; every application is yours to write
Open data analyst	Answers questions about a public dataset by writing and running small queries	Read-only access, and every query shown alongside the answer

One job each

An agent with a single task can be tested; one that tries to do everything cannot. Scope is the first design decision, and the most important.

Tools with fences

Every tool the agent can call is listed, with what it may read and what it may change. Most starter agents may change nothing at all.

Cases before claims

Twenty or thirty questions with known answers, written before the agent is finished and rerun after every change.

None of these projects touch a module you are taking, and none are built from your course materials, which keeps them clearly apart from assessed work. Students who want to build in public often take a project on to a student hackathon. For working adults, the professionals course covers agents that act on real organisational systems, and the regulation that comes with them.

Stages

Four stages across a university year

At one lesson a week, plan on roughly two terms to reach the fourth stage, less with Python already in hand.

From using AI to explaining an agent you built
Stage	What you can do
1. Read the machine	Explain what a language model does with a prompt, and why it gets things wrong
2. Ground and connect	Give a model your chosen documents and a tool, and trace every step it takes
3. Test and break	Write a case set, attack your own agent, and fix what breaks
4. Ship and defend	Publish the repository and README, and explain every choice aloud as you would to an interviewer

Do you need Python first?

For the engineering route, a working grasp of Python helps a great deal, and the Python course can come first. The Copilot Studio route is configured more than coded.

Where each subject leads is laid out on the coding roadmap.

Around term and exams

Billing is monthly, so you can pause for exam season and restart the following term.

Lessons run in the evening or at weekends, clear of lectures and labs.

The catalogue

Nine courses for students building agents

Grouped by what they add. The free class settles where you start.

I

The groundwork

Before any agent

STU / GRD / 01

Python Masterclass

The language nearly all agent engineering is written in.

Open the syllabus

STU / GRD / 02

Data Structures and Algorithms

The thinking technical interviews still test.

Open the syllabus

STU / GRD / 03

AI Tools Mastery

Using assistants well, and checking what they give you.

Open the syllabus

II

Building agents

The core of the course

STU / AGT / 01

Generative AI: LLMs, RAG and Agents

Retrieval, tools and evaluation, from first principles.

Open the syllabus

STU / AGT / 02

Python and AI Automation

Agents and scripts that run on a schedule.

Open the syllabus

STU / AGT / 03

Copilot Studio for Students

The Microsoft platform; one to one only.

Open the syllabus

III

Showing the work

Portfolio and practice

STU / SHW / 01

Git and GitHub

The commit history that proves the work is yours.

Open the syllabus

STU / SHW / 02

Full Stack Web Development

A front end so others can try your agent.

Open the syllabus

STU / SHW / 03

Codex and Claude Code

Coding agents, with every change reviewed by you.

Open the syllabus

How lessons run

Live lessons that fit a timetable

Our teachers are based in India, where the clocks never change, so the UK is four and a half hours behind during British Summer Time and five and a half hours behind in winter. Evening and weekend lessons in UK time fit comfortably around both.

Weekday evening

After lectures and labs, the most common choice.

Saturday

A longer build session once a week.

Sunday

For students with Saturday jobs.

A free first class

Talk through what you want to build and leave with a first version of the plan.

Small groups

Five to ten students at the same level, reviewing each other's agents and test sets.

One to one

For a faster pace, and the only format for the Copilot Studio course.

Your repository

Everything lives in your own GitHub account, so the evidence stays with you.

Explained out loud

You talk through your agent's design choices in lessons, the way you would to an interviewer.

No assessed work

We will not touch anything you submit to your university, ever.

Student work

Projects built by our students

Four finished pieces of work by our students; the full collection, across every age group, is on the student labs page.

AI and ML

NutriLife

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

by Bhavya · Open it

AI and ML

Misti

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

by Harshit · Open it

AI and ML

GuardianX

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

by Vivaan · Open it

Web app

SkyCast

A weather forecasting site with live conditions for any location.

by Krish

Fees

Fees for students

A single monthly fee in US dollars, the same in every country outside India. There is no enrolment charge and no term contract, so a month can be the last one whenever exams or a placement get in the way. The Copilot Studio course is one to one only and uses the one-to-one fee.

Free first class

USD 0

no card required

Your project idea examined with a teacher
An honest route from where you are
No payment details needed

Book it

Group batch

USD 100

a month, billed in US dollars

Five to ten students at one level
The same teacher every week
Peer review of agents and tests
Pause at the end of any month

Start here

One to one

USD 150

a month, billed in US dollars

A teacher for you alone
A pace set by your timetable
The format for Copilot Studio

Enquire

What families say

Rated 4.9 across 547 Google reviews

Word for word from Google: reviews left by our students and their families.

★★★★★

"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 UK students ask about building agents

Will building an AI agent help me get a graduate job?

It can help you stand out, but no course guarantees a job. Employers in the ISE survey expect AI to reshape entry-level roles and value critical thinking and AI literacy; a tested agent you can explain is evidence of both.

Do employers worry about AI in applications?

Yes. In the ISE Student Development Survey 2026, two-thirds of employers believed graduates and apprentices were using AI to misrepresent their skills, up from around half in 2025.

Can you help with my coursework or dissertation?

No. We never write, edit, debug or review anything submitted for assessment. The agent you build with us is a separate personal project.

Can I use my agent in a university module?

Only if your module's rules allow it, and you should acknowledge it as your university requires. Ask your module leader; rules often differ between modules.

Do I need to study computer science?

No. Agents are useful in economics, engineering, the sciences and the humanities alike. Some Python helps for the engineering route, and the Python course can come first.

What will I actually have at the end?

A public repository with a commit history, a README with the agent's purpose and known failures, a test set with a pass rate, and practice explaining it all out loud.

Is the Copilot Studio course available in a group?

No, it is taught one to one only. The other courses on this page run in groups of five to ten or one to one.

Do I need to pay for AI tools?

Not for most of the course. The Codex and Claude Code course needs your own paid Claude and ChatGPT subscriptions, bought directly from those companies.

What does it cost?

The first class is free. After that a group place is USD 100 a month and one-to-one lessons USD 150 a month, with no enrolment fee and no term contract.

When are lessons?

Weekday evenings or weekends in UK time, fixed in the free class. Our teachers are four and a half hours ahead of the UK in summer and five and a half in winter.

Elsewhere on this site

Related pages

For working adults, for the models underneath, and for building in public.

AI agents for professionals

Agents at work, with the UK rules on automated decisions.

Learn to train AI, not just prompt it

How models are measured and assured.

Understand the code, do not copy and paste

Owning the code an assistant writes.

Student hackathons in the UK

Where to take a finished project.

Python classes online

The language underneath agent work.

Coding classes in the UK

All of our UK pages.

Start here

Bring a project idea to a free class

Leave a number and we will call at a time that suits your timetable. Bring an idea, even a vague one; you will leave with a scoped first agent, a list of what it must never do, and a sense of which course fits.

Want to look around first? See how our lessons work, browse every course, or look at projects students have finished.

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

WhatsApp works well from a UK number and usually gets the quickest reply. We are an Indian team, so the number begins +91; there is no UK campus or office.

Three places a student can begin

Generative AI: LLMs, RAG and Agents

Copilot Studio for Students

Codex and Claude Code

Entry-level work is being reshaped, not removed

The work changes shape

The trust problem

Taught after hiring

Already changing

Worried for new hires

Your university's AI rules come first

Rules differ by module

Where we stand

Turning a claim on your CV into something checkable

Why version control matters here

Why failures belong on the page

Agents students build, and the limits built into them

One job each

Tools with fences

Cases before claims

Four stages across a university year

Do you need Python first?

Around term and exams

Nine courses for students building agents

The groundwork

Python Masterclass

Data Structures and Algorithms

AI Tools Mastery

Building agents

Generative AI: LLMs, RAG and Agents

Python and AI Automation

Copilot Studio for Students

Showing the work

Git and GitHub

Full Stack Web Development

Codex and Claude Code

Live lessons that fit a timetable

A free first class

Small groups

One to one

Your repository

Explained out loud

No assessed work

Projects built by our students

NutriLife

Misti

GuardianX

SkyCast

Fees for students

Rated 4.9 across 547 Google reviews

What UK students ask about building agents

Will building an AI agent help me get a graduate job?

Do employers worry about AI in applications?

Can you help with my coursework or dissertation?

Can I use my agent in a university module?

Do I need to study computer science?

What will I actually have at the end?

Is the Copilot Studio course available in a group?

Do I need to pay for AI tools?

What does it cost?

When are lessons?

Related pages

AI agents for professionals

Learn to train AI, not just prompt it

Understand the code, do not copy and paste

Student hackathons in the UK

Python classes online

Coding classes in the UK

Bring a project idea to a free class

Keep exploring Modern Age Coders

Related courses and guides

Learn more

Free resources

From the blog

Start here