§ 00Questions, answered

Everything you'd otherwise have to ring up and ask.

We publish prices, hours and syllabi, so it would be strange to hide the answers to ordinary questions. If yours isn't here, just ask us.

§ 01The levels

What L0, L1, L2 and L3 actually mean

Every stream we teach uses the same four levels, so “L2” means the same amount of work and the same depth whether you're doing robotics or deep learning. Sessions are always 2 hours.

L0
Discover
3 hrs · 1 sitting · free

Try the field, hands-on, in a single afternoon.

L1
Foundation
12 hrs · 6 sessions · ~1 week

The real basics, and your first thing that works.

L2
Practitioner
40 hrs · 20 sessions · ~1 month

Applied depth — a project you can show someone.

L3
Mastery
120 hrs · 60 sessions · ~3 months

Portfolio-grade command. This is the goal.

Two deliberate exceptions: Robotics adds an L4 · Pioneer above Mastery, and Gen AI Mastery skips L2 because it is breadth-first and applied. Everything else follows the ladder exactly.

Choosing and starting
Which level should I start at?
If you've never touched the subject, start at L0 — it's free, it's three hours, and it exists precisely so you can find out before paying anything. If you already have some background, ask for a placement check and you can enter at L1, L2 or L3 directly.
Do I have to do the levels in order?
No. The order is the default, not a rule. A placement check lets you skip anything you already know. What we won't do is put you in a level you'll drown in — that helps nobody.
Is L0 genuinely free, with no catch?
Yes. Three hours, hands-on, no cost, and no obligation to enrol afterwards. Professionals booking directly pay ₹99 as a small commitment filter; for students it's free.
How much time does this take per week?
The hour count is fixed but the calendar flexes. L2's 40 hours can run as 20 sessions over a month of weekdays, spread over two months on alternate days, or compressed into a summer intensive. Tell us your schedule and we'll fit the batch to it.
What if I miss sessions?
Batches are small and sessions are hands-on, so we'd rather reschedule you into a later batch than have you fall behind. Talk to us — this is not something we penalise you for.
How old do I need to be?
We run two verticals: CEFTA Jr for school students (roughly grade 6 and up), taught in mixed-age cohorts — same ladder, same tiers — with stricter, age-appropriate lab supervision, and CEFTA for college students and professionals, pitched deeper. Learners are grouped by level rather than by year. Enquiries for anyone under 18 should come from a parent or guardian.
Money, kits and outcomes
Is the price on the website the price I pay?
Yes. Every price is published on the pricing page, and the same program costs the same for everyone in the same category. Discounts do exist — student pricing, scholarships, early-bird windows, sibling rates — but each one is a published rule with stated criteria, applied to everyone who qualifies rather than to whoever asks hardest. Institutions are on a separate published per-seat rate card.
Are there hidden charges — registration, materials, exam fees?
No. The level fee is the fee. The only separate line item anywhere in the catalog is the optional robotics take-home kit, and it's optional precisely so course fees stay clean and comparable across every subject.
Do I have to buy a kit?
No — and only robotics has one at all. Every software and AI stream has no kit and no kit charge. In robotics you build on our lab hardware at no extra cost; a kit is purely for keeping your build, priced near what it costs us.
Will I get a certificate?
You'll get a builder credential for each level you complete — but the thing that actually matters is the build. Every level ends in something working that you can show, and L3 ends in a portfolio-grade capstone with a live demo.
Do you guarantee a job or a placement?
No, and be wary of anyone who does. What we commit to is that you finish with real projects, a portfolio and skills that are current — the things that actually make you employable. We'd rather under-promise here than join the crowd that doesn't.
Do I need my own laptop, GPU or headset?
A laptop is useful for the software streams but lab machines are available. You never need a GPU — the deep-learning labs run on cloud GPU. VR headsets are shared lab equipment; AR runs on your own phone. Robotics hardware is entirely ours.
How we teach
What does “hands-on” mean in practice?
The majority of every session is you building, not watching. Concepts are taught at the workbench, inside the build, at the moment you need them — not as a lecture block you sit through first.
Is this online or in person?
In person. The depth levels — L2 and L3 — run at our own centres because they need a real lab. L0 and L1 also run on partner school and college campuses, where we bring the equipment to you.
How current is the content, really?
Every syllabus is refreshed each cycle and we retire our own material deliberately. The AI streams move fastest and are rewritten every cohort — which is why the tool names on those pages will look different in six months.
Is the lab safe for younger students?
A safety induction is mandatory before anyone touches hardware, supervision runs at 15 learners per trainer or better, and younger builders work low-voltage under direct supervision with age-appropriate limits on tools and equipment.
Why should I learn this when AI can do it?
Because we teach what makes you more valuable because of automation rather than less: first principles before frameworks, the judgement to know when a tool is wrong, and the ability to build and ship real systems. Two of our streams are explicitly about building with AI rather than being replaced by it.
Schools, colleges and teams
How does a school or college partner with you?
Start with a free L0 Discover session for one class to see it live, then convert to paid L1 and L2 on a published per-seat rate card tiered by batch size. Same rates for every partner — it's a document, not a quote. Details on For Schools.
Do you compete with our existing curriculum?
No — we're deliberately the opposite layer. Schools are optimized for stability, accreditation and foundation; we're optimized for speed, frontier tech and projects. We run alongside your teaching, we don't replace any part of it.
Do you train corporate teams?
Yes — Gen AI Mastery is our professional offering and runs as custom training for teams at any of its three levels, from a 3-hour leadership briefing to the full 120-hour program. Professional rates are published like everything else.
What is Aileela?
Our neutral builder platform — where every project you make gets logged, so your portfolio and progress follow you from school into college regardless of which programs you take. It's free and it's coming soon.
Are the syllabi on this site final?
The L3 Mastery syllabi are published in full and are working drafts — hours per unit are indicative and get validated by the practitioner who teaches each stream. Detailed L0–L2 syllabi are being written and published stream by stream; the hours and outcomes for those levels are already fixed.

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