Machine learning, generative AI and agents, taught live

AI Classes in Saudi Arabia

AI is the most oversold subject on the internet, which is exactly why we teach it the boring way: live classes of at most eight students, real datasets, real code, and a teacher who says "that model is wrong, find out why" instead of playing a highlight reel.

Students across the Kingdom join in the AST evening, from curious ten year olds to engineers adding a second skill. Below is what they build, with the tools named.

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Build 01

A chatbot with your material inside it

From the generative course: a bot that answers questions using notes the student supplied, wired together with prompts, retrieval and an API.

Python + LLM APIs

Build 02

A model trained on gathered data

From the machine learning tracks: data collected and cleaned by the student, a classifier trained on it, and an honest reading of its mistakes.

scikit-learn

Build 03

Software written with an agent

From the agents courses: a project where the student directs an AI coding agent, reviews every change it proposes, and ships the result.

Codex + Claude Code

The AI tracks

Seven live courses, sorted by what they train

Everything below runs as a weekly live class. AI here is taught through Python, so if the language itself is the missing piece, begin at Python Classes in Saudi Arabia and come back.

Machine learning & generative AI AI agents Younger students

The proof

Three project families, described without varnish

Course pages love the word "build", so here is what the word means in these courses, family by family.

The chatbot family. Students in the generative course produce assistants with actual knowledge in them: a study helper that answers from class notes, a small business bot that knows one menu or one price list. Getting there means learning prompts as engineering rather than incantation, calling a language model API from Python, and adding retrieval so the bot cites what it was given instead of inventing. The last lesson is the deepest one: testing the bot until it fails, and understanding the failure.

The trained-model family. Students in the machine learning tracks gather data, clean it until it stops lying, and train classifiers and regressors with scikit-learn. The deliverable is never just accuracy on a chart. It is the student explaining, in ordinary sentences, what the model learned, where its blind spots sit, and why a confident prediction still deserves suspicion. Teens present these projects; adults put them in portfolios.

The agent family. Students in the Codex and Claude Code courses complete software projects by directing AI agents: specifying the change, reading the diff that comes back, catching the subtle wrongness, insisting on tests. The skill being trained is judgement with tools attached, which is precisely the skill the industry now interviews for.

Every family shares one rule: if it does not run, it does not count.

The instruments

Four tools carry the whole syllabus

No tool soup, no logo wall. The courses stand on four instruments, each chosen because the industry actually stands on it too.

PythonThe common tongue

Every AI course here speaks Python, because practical AI does. Students arriving without it take the groundwork stretch or a Python track first; students arriving with it go straight to the data.

scikit-learnWith pandas and NumPy

The classic library for training models without mystery. Students use it to fit classifiers and regressors on data they prepared themselves, and to measure honestly how wrong the results are. pandas and NumPy do the lifting underneath.

LLM APIsLanguage models, programmatically

The generative course treats large language models as components you call from code: structured prompts, API responses, retrieval over supplied documents, and error handling for the days the model behaves strangely. Demystification through use.

Codex & Claude CodeThe agent layer

AI systems that write and modify code under direction. The agents courses teach students to brief them precisely, review their work line by line, and keep responsibility for the result where it belongs: with the human.

Local context

AI skills and Vision 2030, minus the confetti

Saudi Arabia has made its AI intentions unusually official: a national authority dedicated to data and AI, technology programmes threaded through Vision 2030, and public investment that keeps making international news. For a student in the Kingdom, that translates into something simpler than headlines: the subject they are curious about is one their own country has decided to take seriously.

What that does not translate into is a shortcut. We will not claim our courses feed some pipeline into national projects, and no reputable school can. The connection is humbler and more useful. AI work everywhere runs on the same foundations, Python, data handling, model training, tool fluency, and those foundations are exactly what a weekly live class can build properly. A student who owns them is prepared for whatever the local version of the future turns out to be, which is the most any honest education can offer.

For teenagers, the courses also feed back into school. Machine learning projects make strong science-fair and portfolio material, and the habit of testing claims against data improves work in every subject that involves evidence, which is most of them.

For adults, the calculus is the one we state on every page: skills plus proof, no employment promises. An engineer in Dammam, an analyst in Riyadh or a pharmacist in Jeddah leaves the course with trained models and working applications to their name. What happens in the interview room stays their achievement, not our claim.

The format

Six fixed points of the format

Live, always

Every session is a real-time video class where students work and the teacher watches the working. AI is a subject full of confident nonsense, and a live teacher is the antidote on tap.

A hard cap of eight

Group classes never exceed eight students. Model-training projects need individual attention, and the cap is what makes that attention arithmetic instead of aspiration.

Saudi evenings, AST

Weekday classes run in the evening after school and work, with Friday and Saturday slots for the weekend. One fixed weekly hour, held for the length of the course.

English medium

Classes are taught in English, as most Saudi international schooling is. Instructors keep the terminology under control and never mistake jargon for understanding.

Artefacts over abstractions

Chatbots, models, agent-built software: the coursework leaves objects behind. A student's record is a folder of things that run, not a stack of watched videos.

Free demo before fees

The first hour costs nothing and behaves like every hour after it. Judge the teaching from inside a class, then choose.

Grounds for trust

What holds this up

Teachers, full stop

People whose occupation is teaching, who stay with their batches long enough to know them. Not moonlighters, not videos wearing a person's name.

Eight, and the door closes

The batch limit holds because everything else depends on it. When your model misbehaves at minute forty, someone qualified is looking at your screen.

Hands on the keyboard

Students train the models and call the APIs themselves. AI in particular cannot be learned by spectating; the intuitions live in the doing.

Certificates that point at work

Each completion certificate stands on a project that exists. That is what lets it carry weight in an application or a review.

No mystique policy

We teach what models genuinely do and where they fail, including the tools we ourselves sell courses about. Scepticism is part of the syllabus.

Proof precedes payment

One free class before any money changes hands. It has been our opening move for years because it keeps us honest.

Verified reviews

Words we did not write

Since the classes are live and online, Saudi students share their batches with learners from many countries. These reviews are genuine and verified, reproduced without editing; the rest live on our Wall of Love.

"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."

Samridho Mondal

Student

"My son struggled with maths for years. Integrating it into coding projects has transformed his understanding and confidence. Highly recommended."

Shewta Singh

Mother of Ishan

"I am truly grateful for my experience at Modern Age Coders. My teachers were not only teachers but also mentors and friendly figures. The perks are excellent: one-on-one doubt solving, mentoring and regular tests. The most impressive part was working on real-world projects."

Krishnam Bhatter

Former student

"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. The projects were challenging and rewarding."

Ria Mukherjee

Parent

Adjacent pages

Where to read next

AI is one wing of the catalogue. These pages cover the neighbouring questions Saudi families and professionals usually ask alongside it.

Coding Classes in Saudi Arabia

The Kingdom-wide guide holding this whole cluster together: all subjects, all ages, one page.
Python Classes in Saudi Arabia

The language these AI courses run on, taught from age eight upward. Start there if the code itself is the gap.
Coding Classes in Riyadh

The capital's page, for families who want the local view before the subject view.
Coding Classes in Dammam

The Eastern Province guide, covering Dammam, Khobar and Dhahran together.

Fees

The cost, stated like a fact

Monthly billing in US dollars, riyal equivalents shown for orientation. No tiers, no surprises, no asterisks.

Group classes

$40 per month

about SAR 150 per month

  • Weekly live AI class, capped batch
  • Evening and weekend slots, AST
  • Real projects plus a completion certificate
  • Entry via a free demo class
Book a Free Demo

One-on-one classes

$100 per month

about SAR 375 per month

  • A dedicated teacher, a single student
  • Scheduling bent around your commitments
  • Depth and speed tuned to one person
  • Entry via a free demo class
Book a Free Demo

Registration is free because it is a demo class, not a transaction. Fees begin only when you decide they should.

Questions

Asked before enrolling, answered here

What will a student actually have built by the end?
Working artefacts, not summaries of them. Depending on the course: a chatbot that answers questions from material the student supplied, a classifier trained with scikit-learn on data the student gathered and cleaned, or a piece of software produced by directing an AI coding agent and then auditing its output. Everything runs after the course ends, which is the point of building it.
Which AI course fits which age?
Six to twelve year olds start in AI Tools for Kids, or in Python and AI for Kids when they want code alongside; both are supervised and paced for children. Teenagers split between AI and Machine Learning for Teens and the teen agents course. Adults choose among the machine learning track, Generative AI and the professional agents course. Unsure between two? The demo teacher earns their keep by deciding exactly that.
Does my teenager need Python before the AI track?
Some Python, yes. Machine learning without any programming turns into a slideshow. The AI courses open with a groundwork stretch that firms up the essentials, and teenagers starting from zero usually do a stint in Python for Teens first. State the starting point honestly at the demo and the teacher will sequence it correctly.
Will an AI course lead to a Vision 2030 job?
We refuse to promise that, and you should distrust anyone who does not. Hiring depends on interviews, timing, and a market no course controls. What the courses provide is the part that can be controlled: genuine skill, practised weekly, with finished projects as evidence. That is a real advantage. It is not a guarantee, and we will not dress it up as one.
Which tools will students learn to use?
Python throughout, with pandas and NumPy for data work. scikit-learn is the workhorse for training first models. The generative course works directly with large language model APIs, and the agents courses teach Codex and Claude Code. Setup happens inside class, step by step, so nothing needs installing before the demo.
When do AI classes run for students in Saudi Arabia?
In the Arabia Standard Time evening on weekdays, after the school and office day ends, plus Friday and Saturday slots. A student keeps a single fixed hour each week. Private students agree their own days directly with the teacher.
What do AI classes cost in Saudi Arabia?
A group seat costs 40 US dollars monthly, around SAR 150. The private plan is 100 US dollars monthly, around SAR 375. Nothing is charged at registration, no long contract exists, and everything opens with the free demo, so trying us costs nothing but an hour.
Is the demo a real AI lesson or a sales call?
A real lesson. The student joins an actual class hour with an actual teacher, works on something concrete, and experiences the batch exactly as an enrolled student would. Whatever pitch exists is the class itself. You decide afterwards, uncalled and unpressured, though a mentor is available for questions.

Free demo class

Test the claim the way we teach: empirically

One free class settles what pages of copy cannot. Sit in, watch the teacher work, see what the student produces in an hour, and treat our claims like a model under evaluation. Enrol only if the evidence earns it.

Or open with a message: WhatsApp us here and a mentor responds during Saudi business hours.

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