Train Neural Nets from Zero
Build CNNs, RNNs, and Transformers from the ground up. Not just pre trained wrappers, but architectures you write yourself so you understand what breaks and why.
Everyone's using AI. You're here to build it. Train the models, deploy the systems, and engineer the intelligence that the next decade runs on. The world needs people who make AI work - be one of them.
Learn from forward-thinking companies bringing real-world challenges, mentorship, internships, and opportunities to build, learn, and innovate.
AND 50+ MORE
Master AI and machine learning to build real solutions, deploy models, and future‑proof your career with hands-on innovation.
AI isn’t just a subject here - it’s the default setting. Master 50+ AI tools.
100% hands‑on learning- turn concepts into real apps and products, not just theory.
One learning block, 100+ concepts. Conquer them step‑by‑step. Level up fast.
One skill isn’t enough. Stack more, go full stack and build your edge.
250+ Hours Career Support, training & 100+ mock interviews to get you hired.
6 Months in Founder’s Office or Product Teams - Build & gain startup level experience.
A smart learning model that teaches and prepares you from Plan A to Z.
Train your mind to think critically and solve problems with AI, tech, speed and clarity.
Real-world insights through masterclasses, guest speakers, conferences and trips.
Experience Personal Learning with Small Classrooms and a 10:1 Faculty Ratio.
From 14 Smart Labs to 50+ AI tools, technology powers every step of learning.
5-Star Ratings Across Teaching, Tech Campus, Skills, Support & Student Experience.
Build intelligence. Turn real data and complex problems into scalable AI solutions and grow into an AI engineer creating intelligent products.
Start building with AI. UI to API, frontend to backend, design to deployment - accelerated by AI. You graduate Phase 1 knowing how the whole system works.
Stop submitting projects nobody reads - build live products with real users, a real URL, and a feedback loop that actually runs.
Own the entire stack: React up front, Node + Express in the middle, MongoDB at the back. No handoffs, no excuses - you built all of it.
Ship with confidence - you'll know how auth works, why APIs break, and how to fix it at 11pm the night before a demo.
Go beyond basic machine learning. Build neural networks, fine tune large language models and deploy AI systems that run in the real world. This is where you stop using AI and start building it.
Train real neural networks from scratch, including CNNs, RNNs, and Transformers. Break them intentionally, fix them fast, and understand exactly why they work.
Fine tune LLMs using Hugging Face and build AI agents with LangChain, the tools behind today’s most advanced AI products.
Wrap models using FastAPI, track experiments with MLflow, and build inference pipelines that handle real traffic. This is MLOps, not just notebooks.
This is where everything clicks. Take what you built in Phase 1 and specialised in Phase 2, and ship a real product of your own. Any idea. Your stack. Your call. Build it, optimise it, and scale it like a real product team. Take it to Phase 4 to commercialise, or step into a company and learn from the inside.
Pick any idea - build it end to end. Design, code, deploy, monitor. Your product, your decisions, your name on it.
Your product just hit 10,000 users. Does it survive? Learn caching, load handling, and bottleneck analysis before the spike finds the weakness for you.
Run like a real product team - weekly sprints, live feedback loops, performance dashboards. Graduate Phase 3 with something on the internet handling real traffic.
Your product works, now turn it into a business. Go to market, acquire real users, build your revenue model, and pitch to investors. This is the founder track.
Go to market, run growth experiments, acquire your first 1,000 users, and test a pricing model that generates real revenue.
Pitch to real investors with a strong deck, traction metrics & a proven revenue model, not just a concept but proof that people will pay for what you built.
Graduate with a live, revenue generating product, the kind that makes recruiters, investors, and accelerators stop and take notice.
Go inside a startup, product team, or enterprise for a full year. Own features, ship code, sit in real meetings, and build something that goes live before you graduate.
Spend 12 months embedded in a real team, owning sprints and making product decisions.
Ship features that reach production before you graduate, contributing to real products used by real users at scale.
Learn directly from founders, CTOs, and PMs through real execution, real pressure, and mentorship no classroom can replicate.
No AI theory without a working model behind it. Every concept runs in a lab, in a pipeline, or in production.
Build CNNs, RNNs, and Transformers from the ground up. Not just pre trained wrappers, but architectures you write yourself so you understand what breaks and why.
Work with open source LLMs, fine tune them on custom datasets, and deploy them as real tools. Not a demo, but a product that solves a real world problem.
Wrap models in FastAPI endpoints, containerise with Docker, and track experiments using MLflow. Ship to production the way real ML engineering teams do.
Live competitions run alongside your coursework as core practice. Compete, iterate, and watch your model ranking improve in real time against global participants.
Design and deploy autonomous AI agents that use tools, access information, and complete multi step tasks using the same frameworks behind modern AI products.
Every major project ends in a live demo to founders, researchers, and industry practitioners. Explain your architecture and handle tough questions with clarity.
Get access to 20+ developer tools with free student credits to build, test, and deploy real-world projects while gaining hands-on experience from day one.
From classroom to real‑world execution - solve real problems, gain hands-on experience, and graduate as a builder, not just a learner.
THE START-UP PATH
The launched for your own venture. Master the art of building billion-dollar ideas.
THE START-UP PATH
The launched for your own venture. Master the art of building billion-dollar ideas.
THE START-UP PATH
The launched for your own venture. Master the art of building billion-dollar ideas.
THE START-UP PATH
The launched for your own venture. Master the art of building billion-dollar ideas.
Learn AI & build without limits.
Build what matters. Think like a pro.
Code with clarity. Build elegantly. Scale with AI.
Ideate, innovate, build MVP and launch.
Design & Develop AI that does things.
Build in minutes. Scale in hours.
Not your typical Engineering College
Madras Engineering College
by Aditi Kulkarni
OVERVIEW
Build a neural network from scratch with no black boxes and no magic imports. Understand every weight, gradient, and activation so no architecture ever feels complex or intimidating again.
by Rahul Bhatia
OVERVIEW
Fine tune open source LLMs on your own dataset. Build agents with LangChain and deploy a real AI product, not just a demo that works in a hackathon and fails when real users really on it in production.
by Sneha Rajan
OVERVIEW
Your model is trained. What next? Containerise, deploy, monitor, and scale. Learn the full MLOps lifecycle that turns a notebook into an AI product real users depend on every day with realibality.
by Aakash Tiwari
OVERVIEW
Take on live Kaggle style sprints. Pick a problem, build a solution, ship an end to end product, and present it to a panel of AI practitioners in 48 hours under pressure, with no room for errors.
Resume, Branding & LinkedIn Optimization
100+ mock interviews with industry leaders.
Build apps, startups - not just marksheets.
Beyond jobs - startups, MNCs & global roles.
Custom paths: startups, product or higher edu
Beyond mass recruiters - startups & scale-ups
Breaking the Engineering Mold
Madras Engineering College
Focus on your goals - we’ll help make the money part manageable. We’ve got scholarships plus easy financing and loan support to keep things stress-free.
Collateral-free education loans with low rates, flexible repayment, moratorium options, and quick approvals.
BENEFITS
Covers tuition, transport, hostel, laptop & key academic expenses.
Approval within 48 hours for faster, stress-free planning.
No pre-closure charges - repay early without extra fees.
No Cost EMI = small monthly payments. Smart upgrade, no money stress - easy instalments with zero interest.
BENEFITS
Break the total amount into equal monthly payments with absolutely no interest.
Choose a repayment duration that aligns with your family earnings.
Clear terms, transparent process, and no surprise charges later.
Madras Engineering College students are eligible for Government Scholarships under three categories:
BENEFITS
7.5 Quota - Free seat for government school students (6th-12th).
PMSS/BC/MBC Community Scholarships - Support based on community categories.
First Graduate Scholarships - Financial aid for first-generation graduates.
Madras Engineering College is home to elite, power‑packed students with strong technical skills and a true builder mindset. Join only if you have the mindset, skill, and will to rise.
CODE - 1203
Average Cut-off (2025)
153
FASTFILING
Our admission process is highly competitive and rigorous, going beyond marks to evaluate your mindset, skills, and communication.
Average score
153 & above
Real vibes, real memories, and real journeys from the people who called this campus home.
View all
For me, the food scene is a solid 10/10 - it’s not a typical mess system but a full-on multi-cuisine restaurant vibe. I’m never stuck eating the same thing every day. Fried rice and biriyani are my go-to favourites, and even late-night cravings are sorted without burning my budget.
Hostel life is pure freedom - my own space, laundry sorted, and unlimited WiFi for study grinds and late-night scrolls. My room feels like HQ, my hostel gang feels like family, and every day turns into a new core memory.
Campus life here is super chill - friendly vibes, no strict rules, no dress code stress. From Pongal to Rookies (Fresher’s day Celebration), culturals, symposium hype, and DJ nights, it’s nonstop festival mode. Pure fun, zero dull moments.
I never thought I’d build a startup while studying, but here it’s normal. We brainstorm, prototype, and pitch like actual founders. It’s hands-on and honestly super empowering.
I love how balanced everything feels here-engaging classes that actually make sense, solid sports scenes to keep the energy up, a super free environment to just be yourself, and a quiet library when it’s grind time. It’s honestly the best of both worlds.
When should I apply for the B.E. CSE(AI&ML) programme?
Now. AI & ML is our most competitive programme and seats fill up fast. Applications open in Class 12 final months - early applicants get scholarship priority and counselling access before the general pool. If you know AI engineering is your path, the time to start is before everyone else figures out the same thing.
Do I need a strong math background to apply for AI & ML?
A basic comfort with math helps, but you don't need to be a topper. We teach the linear algebra, calculus, and statistics you need as part of the programme - in the context of ML, not as abstract theory. What matters more is that you're genuinely fascinated by how intelligent systems work and obsessed enough to dig into the details.
Is there a scholarship for students passionate about AI?
Yes - the AI Builder Scholarship is designed for students who've already started exploring the space. Kaggle submissions, a personal ML project, a fine-tuned model on Hugging Face, a paper you've read and understood enough to explain - all of these count. Show us you're already thinking in this direction and we'll recognise it financially.
How do I apply for financial aid if I can't afford the full fee?
Financial aid applications are part of the main admission form - no separate process. Upload your income documentation and indicate your need clearly. Our admissions team evaluates every case individually. We've never let financial background alone be the reason a deserving student couldn't join - and we don't plan to start.
What makes MEC's AI & ML programme stand out from IIT or NIT offerings?
IITs teach AI theory brilliantly. We teach AI engineering practically - from day one. You'll train and deploy real models, fine-tune LLMs, build agents with LangChain, and work with the exact tools used in production AI teams. Add GPU-equipped labs, a 10:1 ratio, industry bootcamps led by practitioners, and a 6-month AI team internship - the gap closes faster than most expect.
Find your people, build real skills, chase what excites you, and create memories that last. This is your space to try, fail, grow, and win.
Tambaram Road, Vellarai (Chennai Metropolitan Area), Tamil Nadu - 602105, India
You can always reach us on
+91 70020 80020
