Oman · Live online · Ages 6 to 67
Almost every AI class available to a family in Oman today teaches how to talk to a chatbot. That is a useful afternoon, not an education. Our students in Muscat, Sohar, Salalah and Nizwa learn the thing underneath: how a model is fed, trained, measured and corrected, in Python, on data they can see and argue with. Live classes, the same teacher every week, timed for Omani evenings.
Teaching since 2020 · 10,000+ students across 25+ countries · no recordings sold as classes
In short
Modern Age Coders runs live online AI and machine learning classes for students in Oman, ages 6 to 67, in small batches of five to eight or one to one. Students learn Python and the mathematics under machine learning, then train and evaluate their own models rather than only prompting AI tools. Fees start at USD 40 a month, about 15 Omani rials, and the first class is free.
The catalogue
We do not put a nine year old and a working engineer through the same syllabus with the pace changed. Each band below is a different curriculum with its own projects and its own finishing line. Every card opens the full syllabus, week by week, with fees and schedule.
OM / KIDS / 01
A first proper programming language rather than a drag and drop toy. Children write Python, draw with turtle graphics, build small games, then meet the idea that a machine can learn a rule from examples instead of being told the rule.
Open the syllabusOM / KIDS / 02
What a model actually is, why it gets things wrong, and why a confident answer is not the same as a correct one. Children learn to check an AI before they trust it, which is the single most useful habit at this age.
Open the syllabusOM / KIDS / 03
Children direct AI tools to build something, then read the result and repair what is broken. Giving the instruction is the easy half. Judging the output is the half we actually teach.
Open the syllabusOM / TEEN / 01
The spine of this page. A year long route through Python, the required mathematics, classical algorithms, neural networks, computer vision and language models, with a trained model at the end of each stage.
Open the syllabusOM / TEEN / 02
Before a model comes the data, and most of the real work lives there. Cleaning, joining, plotting, spotting the outlier that would have poisoned the result, then a first set of predictions.
Open the syllabusOM / TEEN / 03
Two years from first line to genuinely advanced Python. Recommended if your child is coming to us without prior code and wants the AI track afterwards on solid ground.
Open the syllabusOM / TEEN / 04
Building real web and Python projects with AI assistance, while learning to review what the assistant wrote. Teens finish able to ship, and able to explain every line they shipped.
Open the syllabusOM / PRO / 01
The full engineering route. Supervised and unsupervised learning, deep networks, training discipline, evaluation that survives scrutiny, and the deployment step most courses skip entirely.
Open the syllabusOM / PRO / 02
How large language models are built, fine tuned and grounded against your own documents, and how agents are made to act without quietly going wrong. Relevant to Oman's own national language model work.
Open the syllabusOM / PRO / 03
For working professionals in Oman who want the practical half first: machine learning and natural language processing applied to the reports, spreadsheets and pipelines already on their desk.
Open the syllabusOM / PRO / 04
The job shaped route. Statistics, SQL, feature work, modelling and communication, ending with a portfolio built to be read by a hiring manager rather than a marker.
Open the syllabusOM / PRO / 05
The interview gate for every serious engineering role, and the reason a model that works on a thousand rows still works on ten million. Taught as problem solving, not memorisation.
Open the syllabusOM / ALL / 06
Beyond AI we teach mathematics from early number sense to university level, web development, app development, game development and exam preparation. All of it live, all of it to Oman timings.
Open all coursesWhat you actually build
Every market we teach in gets its own first project, built on data from that country, because a model you can argue about with your own family is a model you remember. In Oman that project is the date harvest. Dates are the country's primary crop, occupying 49 per cent of cultivated land and making up 82 per cent of all fruit grown. There are more than nine million palms across roughly 62,000 acres, and national output has reached 400,655 tonnes, which places Oman eighth in the world and second in the Gulf.
| Governorate | Output, tonnes | Share of top four |
|---|---|---|
| Al Dakhiliyah | 70,604 | 28.2% |
| Al Dhahirah | 66,421 | 26.5% |
| Al Batinah South | 58,508 | 23.3% |
| Al Batinah North | 55,487 | 22.1% |
The cultivar mix is the second axis. Khalas is the largest single variety at 15 per cent of national production, Naghal follows at 12 per cent and Fardh at 9 per cent. A student now has two real features, region and cultivar, a real target, tonnage, and a question worth asking: which of the two explains more of the variation?
This is where a class stops being a lecture. The student has to decide what counts as a good prediction, and then live with the number the model returns. Most arrive expecting the model to be right. The lesson is learning to say how wrong it is, in a unit their father could check.
pandasscikit-learn matplotliblinear regression mean absolute errortrain / test split
The student types the governorate and cultivar figures into a table, then discovers the first real problem: the two sets do not line up. Cultivar shares are national, tonnages are regional. Deciding how to reconcile them is the first genuine judgement call, and it is made by the student, not the teacher.
A bar chart of the four governorates, then a share plot of the cultivars. Al Dakhiliyah and Al Dhahirah together carry over half the output of the top four regions. That fact is visible in ten seconds of plotting and would take a paragraph to explain in words, which is the point of the step.
Hold rows back before training, not after. Almost every beginner scores their model on data it has already seen, gets a beautiful number, and believes it. We make that mistake deliberately in the lesson so the student feels why the number was a lie.
A linear regression, five lines of scikit-learn. The student now has coefficients, and a teacher asking what a coefficient means in tonnes of dates. This is where the linear algebra stops being homework and becomes the explanation of a result they produced.
Mean absolute error, reported in tonnes. If the model is out by 9,000 tonnes on a region that produces 55,487, the student can say so plainly. Being able to state your own error without flinching is the skill that separates an engineer from an enthusiast.
Add the cultivar feature, refit, compare. Sometimes the error falls and sometimes it does not, and the class discusses whether a small improvement on four regions means anything at all. Four rows is a tiny sample, and saying so out loud is part of the training.
A short notebook with the chart, the model, the error and an honest limitations paragraph, published at a link the student can send to anyone. That link is worth more in a university application than a certificate, because it can be opened and checked.
The distinction
We teach both, in that order, and we are honest with parents about which one keeps its value. Prompting is a product skill and products change. Modelling is a mathematical skill and mathematics does not.
This distinction matters more in Oman than in most places right now, because the country is building AI capability rather than only buying it. Read the national programme below and you will find a research centre, an open data platform and a national language model, all of which need people who can build. A generation trained only to prompt cannot staff any of it.
Why now, in Oman
On 22 September 2024 the Ministry of Transport, Communications and Information Technology announced Oman's National Programme for Artificial Intelligence and Advanced Digital Technologies, running from 2024 to the end of 2026. It was announced by His Excellency Said bin Hamoud Al Maawali, and it is not a communications exercise. It carries specific construction: a National Open Data Platform, a National Centre for AI Research and Development, an AI Studio, an Omani language model referred to as Oman GPT, a Centre for the Fourth Industrial Revolution in partnership with the World Economic Forum, and quantum computing work.
The economic target attached to it is blunt. The digital economy contributed 2 per cent of Oman's GDP in 2021, and the goal is 10 per cent by 2040, within the frame of Oman Vision 2040. Alongside that sits an ambition to enter the top 50 of the Oxford Insights Government AI Readiness Index. In 2026 the country went further and moved to establish a dedicated AI economic zone.
Read that list as a parent and one thing stands out. Every item on it is a building project. An open data platform needs people who can work with data. A national language model needs people who understand tokenisation, training and evaluation. A research centre needs graduates who have trained something before, not graduates who have used something.
A student who is twelve today will be twenty two in 2036, four years short of the Vision 2040 horizon, and will be applying for exactly those roles. The gap that programme has to fill is not a shortage of AI users. Oman has those already. It is a shortage of people who can open a dataset and make something correct come out of it.
That is the entire reason this page exists, and the reason we refuse to sell a prompt engineering course as an AI education.
2% → 10%
Digital economy share of Omani GDP, 2021 actual to 2040 target
2024 to 2026
Span of the National Programme for AI and Advanced Digital Technologies
Top 50
Target position in the Oxford Insights Government AI Readiness Index
400,655 t
Annual date output, the dataset behind the first student project
School and university
Oman has 22 Indian schools running the CBSE curriculum, together teaching more than 48,000 students. Indian School Muscat opened in 1975 with 135 children and is now the largest co educational school in the Gulf, with more than 9,200 students. Indian School Darsait opened in 1992, and Indian School Al Ghubra has run for over two decades.
If your child is in one of them, the CBSE Artificial Intelligence and Computer Science syllabus is the board content we already teach to, and the machine learning ladder on this page runs alongside it rather than competing with it. Board marks and a real portfolio are not in tension. They are produced by the same work if the work is set up properly.
Families on the British curriculum in Oman sit IGCSE and A Level, American curriculum families sit AP, and IB families sit the Diploma. We teach IGCSE Computer Science 0478, AP Computer Science A and Principles, and IB Diploma Computer Science, so the same student can take exam preparation and the AI track from one teacher who knows how both are assessed.
Sultan Qaboos University has taught computer science through its College of Science since the department was established in September 1995, covering artificial intelligence, cyber security, distributed computing, software engineering, image processing and bioinformatics among other fields. It now runs a Master of Science in Data Science and Machine Learning.
The entry requirements for that degree are worth reading before your child picks subjects. It expects a bachelor's degree in a computing field with a cumulative grade point average of at least 2.75 on a four point scale, or between 2.50 and 2.74 with two years of work experience. Critically, it expects a good background in computing, mathematics covering calculus, linear algebra and discrete mathematics, and statistics, assessed by the admission committee.
Read that list again. It is mathematics first. A student who spent five years using AI tools and no time on linear algebra does not meet it. That is why our teens track teaches the mathematics inside the machine learning rather than treating it as a separate subject to be survived. The German University of Technology in Oman is the other common domestic route, and students aiming abroad use the same portfolio for applications to the United Kingdom, Canada and the United States.
How the classes run
Oman keeps Gulf Standard Time, UTC+4, which is one hour and thirty minutes behind Indian Standard Time where our teaching operation sits. That gap is small and it works in your favour: our main teaching block lands squarely on an Omani school evening, so no family has to choose between a class and a bedtime.
16:30 to 18:00
Oman time. Popular with primary age children, straight after school and before the evening settles.
18:30 to 20:00
Oman time. The main teen block. Homework is done, and the household is quiet enough to concentrate.
20:30 to 22:00
Oman time. Working professionals and university students, after dinner on weeknights.
Ninety minutes of live video with a teacher who knows your child's name and what they got stuck on last week. Screens are shared in both directions, so the teacher watches the student write code and stops them at the moment the mistake happens rather than marking it three days later. Class size is five to eight students, or one to one if you prefer.
Between sessions students have a task, not a worksheet. Something to build, break and bring back. Questions during the week go to the same teacher, not to a support queue.
The 2026 to 2027 academic year in Oman begins on 10 August 2026, and the mid year break starts on 8 January 2027. Those two dates are when most families start with us, because a new weekly commitment sticks more easily when the school timetable is quiet around it.
We run rolling admission, so a student can join in any week. We also work around Ramadan and the Eid holidays rather than through them, and batch timings shift with the shorter Ramadan school day.
Student work
None of these is a mockup or a screenshot. Every one is a working application at a real address, built by a student and left online where anyone can open it. Explore more in Student Labs.
AI and ML
A nutrition assistant that reads what you eat and coaches you toward a target, built end to end by a student.
AI and ML
A tutoring chatbot that answers maths and programming questions, written and deployed by a student.
AI and ML
An assistant that helps a young person spot unsafe situations online, designed and shipped by a student.
Fees
The Omani rial has been pegged to the US dollar at 2.6008 dollars to the rial since 1986, so the rial figures below are stable rather than a conversion that moves each month. Fees are monthly. There is no admission fee and no annual lock in.
Free first class
OMR 0
USD 0, no card needed
Group batch
OMR 15
about USD 40 a month
One to one
OMR 38.5
about USD 100 a month
What families say
These are real reviews left by real families. We do not write testimonials and we do not commission them.
★★★★★
"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
★★★★★
"Coding classes here make learning very interesting and conceptual. The teachers teach us in a very easy-to-understand and efficient way."
Arush Poddar
Student
Questions from Oman
Yes. Every class is live video with the same teacher each week, so a student in Muscat, Salalah, Sohar, Nizwa or Duqm joins from home with a laptop and a normal broadband connection. Oman is on Gulf Standard Time, one hour and thirty minutes behind Indian Standard Time, which puts our teaching hours directly over Omani evenings. Nothing is pre-recorded and nothing is auto-graded.
Using AI tools means typing a prompt and judging the answer. Building AI means preparing a dataset, choosing a model, training it, measuring how wrong it is, and improving it until the error is acceptable. Tool use is a skill that changes every few months as products change. Model building rests on statistics, linear algebra and code, which do not expire. We teach tool use as a first step and model building as the actual subject.
We enrol from age 6, but a six year old does not start with neural networks. Children aged 6 to 12 start with Python, turtle graphics, small games and the idea that a computer learns from examples. Teens aged 13 to 18 move into real datasets, regression, classification and their first trained models. College students and working adults go into deep learning, computer vision, language models and deployment. The oldest learner we teach is 67.
Group batches of five to eight students are USD 40 a month, which is roughly 15 Omani rials. One to one teaching is USD 100 a month, roughly 38 rials and 500 baisa. The Omani rial has been pegged to the US dollar at 2.6008 dollars to the rial since 1986, so the rial figure is stable rather than a moving conversion. The first class is free and does not need a card.
Yes. Oman has 22 Indian schools following the CBSE curriculum, teaching more than 48,000 students, including Indian School Muscat, Indian School Darsait and Indian School Al Ghubra. Our teens track covers CBSE Artificial Intelligence and Computer Science content, and our teachers work with the same board your child sits. Students on British, American and IB curricula in Oman follow the same machine learning ladder with their own coursework mapped onto it.
It builds the evidence those applications need. Sultan Qaboos University has taught computer science since September 1995 and now runs a Master of Science in Data Science and Machine Learning that expects a background in calculus, linear algebra, discrete mathematics and statistics. We teach those foundations alongside the code rather than after it, and every student leaves with published projects that an admissions reader can open and inspect.
Real, working projects that go online with a link. Students in Oman build a date yield model on Omani agricultural figures, then move to their own ideas. Past students have shipped an AI nutrition coach, an AI chatbot that explains maths, a weather forecasting app and an internet safety assistant, all live on the public web. Nothing in the portfolio is a mockup.
The 2026 to 2027 academic year in Oman begins on 10 August 2026, and the mid year break starts on 8 January 2027. Families most often start with us in the fortnight before term begins or during the mid year break, because a new habit is easier to fix in place when the school timetable is quiet. That said, we run rolling admission and a student can join in any week of the year.
Start here
Leave a number and a mentor calls you back, usually within a few hours, at an hour that suits Oman. The first class is a real class with a real teacher, and it doubles as a placement check so your child starts at the right level rather than the average one.
Prefer to look around first? Read how we teach, browse the full course catalogue, or see what students have built in Student Labs.