Data science and machine learning.
And everything around it.
We teach from first principles, then guide the rest: universities, applications, research, direction. One mentor.
For secondary and sixth-form students already ahead of their syllabus, and under-challenged by it.
Free 30min consultation (no card, no commitment) with a two-session money-back guarantee.
One mentor for it all.
Normally that's four or five separate people: a tutor, a careers adviser, an admissions consultant, a mentor. None of them ever talk to each other. Vernoli is one person who does all of it, and stays for years.
Free 30-minute consultation, then a two-session money-back guarantee.
Depth, taught early.
Standard curricula are built for the middle of the class. They can't move fast enough for a student who's already ahead, and they skip the ideas that matter most at the technical frontier.
We build it the other way around: depth over coverage. Students work from first principles, build real systems, and develop the kind of understanding that compounds. Undergraduate-level work becomes reachable in months, not years.
The path a student moves along.
One mentor, one plan, from the first call to university and beyond. Each stage builds on the last.
Free consultation
A short call to see whether Vernoli is right for the student, and the student is right for Vernoli.
Diagnostic
Map strengths, gaps, interests, and where the student actually wants to go.
Personalised plan
A term-by-term roadmap written for one student. No fixed syllabus.
Weekly mentorship
One-to-one sessions, real projects, asynchronous support between sessions.
Applications and beyond
Universities, scholarships, early internships, and the work that compounds after.
What we teach.
The technical foundations behind modern data and AI work. None of it is taught seriously before university. All of it is taught here, from first principles.
A specific field or goal in mind?
If the work sits within the technical sciences (research-level mathematics, computational biology, quantitative work, anything adjacent), there is likely a mentor for it. Get in touch and describe what the student is trying to do.
Students build real things.
Studying machine learning without building it is like chemistry without a lab. The demo below is a real neural network in your browser — the kind students take apart, rebuild, and extend.
Projects grow from a first classifier to publishable work. What runs here is minimal; the real work is shaped to each student.
Studying machine learning without building it is like studying chemistry without a lab. The demo to the right is a small glimpse: a real neural network running in your browser, the same kind of system students take apart, rebuild, and extend in mentorship.
Projects start small and grow. A student might train an image classifier in their first term, build a language model from scratch in their second, and ship something publishable by their third. The aim is fluency: designing a system, explaining it, and making it better.
What runs here is intentionally minimal. The real work is shaped to each student, their level, and where they want to go.
Real projects, captured on loop:
The mentor.
Safoan Miah, founder.
Strong students get held back by what is available to them. They move at the pace of the classroom, the syllabus, or the nearest tutor, not at the pace of their ability. Over years, that leaves real capability on the table and quietly steers good students toward shallow versions of academic and career paths they could have led.
Vernoli exists to remove that constraint.
I work with a small number of students who are already capable and want to operate well beyond standard expectations. The focus is not on keeping pace. It is on choosing the right direction early and building the depth required to become genuinely exceptional in a technical field.
About future mentors.
While Vernoli is small, every student is mentored by me. That keeps depth, consistency, and standards under one roof. As the academy grows, additional mentors will be added carefully and individually.
Every mentor has to meet the bar:
- Strong academic grounding in their specialised field
- Real industry experience applying that knowledge in practice
- A track record of mentoring for long-term development, not short-term results
Growth will not come at the expense of quality.
If it's not right, you don't pay.
Start with two sessions. If your child isn't getting something real out of it, we refund your first month in full, no hard sell, no forms. Just a short conversation so we understand what didn't fit.
The consultation is free, no card, no commitment.
Pricing.
Build the plan that fits the student. Sessions and duration are configurable.
Build the plan
Sessions per week
What's included
- One-to-one academic and career mentorship
- Curriculum built around the individual student
- Long-term, term-by-term progression
- Guidance on academic direction, applications, and early careers
- Direct messaging with the mentor between sessions
- Help with homework and general questions on the subject, anytime
- 1 day advance cancellation or rescheduling, no penalty
Weekly price
Total per week
No hidden fees. Cancel anytime.
Questions, answered.
The things families usually ask before the first consultation.
Who is Vernoli Academy for?
Ambitious secondary and sixth-form students (roughly ages 10 to 18) who are already ahead of their school syllabus and want real depth in data science, machine learning, and computer science.
Is this tutoring or something else?
It's long-term, one-to-one mentorship, not homework help or exam cramming. The same mentor teaches data science and machine learning in real depth and guides everything around it: the right universities and courses, applications, research, and coursework. One person, for years.
Does it cover universities and applications?
Yes, and it's part of the same relationship at no extra cost. The mentor who teaches your child also helps choose universities and courses that fit, plans the application and personal statement, and supports the research and coursework that strengthen it.
How does a student get started?
Every family begins with a free 30-minute consultation. From there: a diagnostic to map strengths and goals, a personalised term-by-term plan, weekly one-to-one sessions, and asynchronous support between them.
What does it cost?
Pricing is per session and depends on session length and how many sessions you book each week, with a discount for more frequent sessions. You can see a live estimate in the pricing section, and the first consultation is free.
Is it online or in person?
Fully online and one-to-one, available to students across the United Kingdom.
What subjects are covered?
Data science, machine learning built from the maths up, applied Python, and algorithms and computer science, shaped to each student's level and direction.
Who teaches the sessions?
Mentorship is led by Safoan Miah, alongside practitioners and graduates who have worked professionally in data science and machine learning.
If this is the right place, apply.
A small number of students are accepted each term. The first step is a free 30-minute consultation. We use it to see whether Vernoli is right for the student, and whether the student is right for Vernoli.
Free consultation first. Then a two-session money-back guarantee. If it's not right, you don't pay.