MERN Task Tracker
React frontend, Express API, MongoDB storage, JWT auth. Deployed with a real domain. Their first full-stack app.
At 14, your teen enters the board years. This is the window where a serious coding portfolio takes shape — real Python, a MERN full stack app, a first AI project with a real dataset, and the early DSA that matters for college.
Portfolio, not toys. These are the courses that make sense at 14 — MERN, AI/ML, DSA — chosen because they hold up as signals for Class 12 and early college interviews.
Zero to confident — functions, OOP, files, real mini-apps. The backbone of every other track.
View course →
HTML, CSS, JavaScript, Node, databases — ship a real deployed web app.
View course →
Build component-based web apps. What modern product teams actually use at work.
View course →
OOP in depth with BlueJ-friendly style — strong for ICSE/CBSE CS and Android foundations.
View course →
Pandas, sklearn, neural nets — real AI projects with datasets, not toys.
View course →
Flutter + Firebase — build and publish real mobile apps. Teens love seeing their app on a phone.
View course →
Arrays, linked lists, trees, graphs, DP. The core of every CS interview and competitive scene.
View course →
APIs, auth, databases. The half of the web most students never see but employers love.
View course →If your teen already has projects on GitHub and has touched React or Node, skip ahead into MERN, AI/ML with datasets, or DSA straight away. Free demo includes a proper 10-minute level check.
Looking for more? Browse the full courses catalogue →
Class 9 is the ideal year to go deep. School is formal but not yet at boil, and a teen who uses this year well arrives in Class 10 already confident — not catching up.
By Class 10 the board exam owns the calendar. By Class 11 streams are picked. Class 9 is the last long stretch where a serious portfolio can be built without crunch.
At 14, concepts like recursion, trees, Big-O notation and class hierarchies can actually click. We use that window for the start of DSA and OOP.
A GitHub profile built over 3 years reads very differently from one built in the last 6 months before a college application. We build it early.
Each of these holds up in a Class 12 portfolio and each teaches something that matters. Unique to age 14 — we do not do these at 13 or 15.
React frontend, Express API, MongoDB storage, JWT auth. Deployed with a real domain. Their first full-stack app.
Real Kaggle dataset, sklearn regression, matplotlib charts. A genuine data project with uncertainty talked through.
Object-oriented Java with BlueJ — the exact pattern ICSE Class 10 expects. Works alongside school.
Arrays, strings, linked lists, stacks. The foundational set every serious coder solves by 15.
Mobile app with charts, local storage and notifications. Runs as a proper APK on their phone.
Own Python Flask API with routes, database, Postman testing. First time they wrote a real backend.
We push harder at 14 than at any earlier age — because this is where the foundations for college-level CS actually live.
Classes that matter, decorators understood (not just used), a proper Python package with setup. The grown-up version of Python.
React frontend, Express backend, MongoDB, deployed. First proper end-to-end web app. Real auth, real domain.
They pick: a real ML project track (pandas + sklearn with Kaggle data), or a DSA-first track (arrays, linked lists, stacks, queues).
We align with CBSE/ICSE Class 9 Java or Python. Also help with a first GitHub open-source contribution — small, but real.
Same curriculum. Same teachers. Same recordings. The difference is whether your child learns best with one teacher's full attention, or alongside 4 to 6 classmates at their level.
One teacher, one learner, the full 1 hour. The teacher adapts pace in real time — slowing down on tricky concepts, speeding up where your child is already fluent. Best for focused learners, specific exam prep, or fastest progress.
4 to 6 students at a similar level, one teacher, 1 hour per session. Learners move faster when they see peers solve problems in different ways. Supportive, never pressured. Best if your child enjoys learning with others.
Each year here is a step. This table shows exactly what the step looks like.
| What to expect | Age 13 | Age 14 (this page) | Age 15 |
|---|---|---|---|
| Main stack | Python OOP + React | MERN + AI + DSA | Full stack + ML + CP |
| Project scope | Multi-week | Month-long full stack | Quarter-long serious projects |
| AI depth | Supervised ML intro | Kaggle datasets | Neural nets basics |
| DSA | Arrays + strings | Linked lists + stacks | Trees + graphs |
| School link | Class 8 CS | Class 9 CS/Java/ICSE | Class 10 board |
| Portfolio | First site | Portfolio in progress | Strong portfolio |
Unedited reviews from families of Class 9 students in our full-stack and AI tracks.
My son is in Class 9 CBSE. He wanted to skip school computer class because it was "too boring". The teacher at Modern Age Coders has him working on a MERN app. Now he tells his friends he's building a product.
The ICSE Java alignment is genuine. The teacher has the Class 9 syllabus open and teaches the chapter before the school teacher does. My daughter now tops her computer unit tests.
We enrolled for AI/ML. My son built a housing-price predictor in month 5. The teacher was clear about overfitting, which I didn't expect them to cover at 14. This is real teaching, not demos.
Short, plain answers. If your question isn't here, tap the callback button at the top and a human will get back to you the same day.
Fill the form. Our counsellor calls you within 3 hours, understands your child's pace, and schedules a real demo with a real teacher. No card, no commitment.