College-Level Software Engineering

Vibe Coding for College — Build Production-Grade Software, Crack Placements, Shape Your Career

From Student to Software Engineer — Ship Real Code, Ace Interviews, Land the Offer.

3 months (12 weeks) Intermediate to Advanced (Ages 18+ / College Students) 10–15 hours/week Vibe Coder — College Level Full Stack & AI Engineer Certification
Vibe Coding for College — Full Stack, AI & DSA Career Course (Ages 18+)

Flexible Course Duration

Course duration varies based on the student's background and learning pace. For beginners (kids/teens): typically 6-9 months depending on the specific course. For adults with prior knowledge: duration may be shorter with accelerated learning paths.

Standard Pace: 6-9 months
Accelerated Option: Increase class frequency for faster completion

For personalized duration planning and detailed course information, contact Modern Age Coders at 9123366161

Ready to Master Vibe Coding for College — Full Stack, AI & DSA Career Course (Ages 18+)?

Choose your plan and start your journey into the future of technology today.

Group Classes

₹1,499/month

2 Classes per Week

Enroll Now

Personalized Mentorship

₹4,999/month

2 Classes per Week

Enroll Now

International Students (Outside India)

Group Classes
$40
USD / month
2 Classes per Week
Enroll Now
Recommended
Personalized
$80
USD / month
2 Classes per Week · 1-on-1
Enroll Now

Also available in EUR, GBP, CAD, AUD, SGD & AED. Contact us for details.

Program Overview

Vibe Coding for College is the most comprehensive 3-month software engineering program for college students and fresh graduates aged 18+. 'Vibe Coding' — coined by AI pioneer Andrej Karpathy in 2025 — means building software by describing what you want in natural language and letting AI generate the code. In 2026, this has evolved into 'agentic engineering' — orchestrating multiple AI agents to build production-grade software at startup speed.

This course teaches you both: deep engineering fundamentals AND professional-grade AI development tools. You will master the MERN stack using Cursor IDE (the #1 AI code editor), accelerate development with Claude Code (Anthropic's terminal-based AI engineer), prototype at speed with Lovable and Bolt.new, and ship code with GitHub Copilot as your AI pair programmer. You'll also dive deep into DSA for placements, build ML projects, and learn System Design.

But here's what separates great vibe coders from prompt-copy-pasters: understanding the code AI generates. That's why we teach you to be a developer FIRST and a vibe coder SECOND — so you can review, debug, secure, and scale what AI builds for you. Studies show 45% of AI-generated code contains security vulnerabilities (OWASP Top 10). We teach you to catch them.

At Modern Age Coders, we've placed students at top tech companies. Our curriculum is designed by engineers from FAANG-adjacent companies who know exactly what interviews look for and what internships demand of you from day one.

What Makes This Program Different

  • ✓ Industry-grade curriculum — same tools used at Google, Amazon, and top startups
  • ✓ Professional vibe coding tools: Cursor IDE, Claude Code, Windsurf, GitHub Copilot
  • ✓ AI app builders for rapid prototyping: Lovable, Bolt.new, v0.dev, Replit Agent
  • ✓ Learn to BUILD with AI AND REVIEW what AI builds — security-aware development
  • ✓ MERN Stack mastery — the most in-demand full-stack for 2026 hiring
  • ✓ DSA preparation integrated throughout — not an afterthought
  • ✓ Machine Learning with Python — scikit-learn, TensorFlow fundamentals
  • ✓ System Design basics — asked in every senior/product company interview
  • ✓ Agentic engineering workflows — orchestrating AI agents for multi-step development tasks
  • ✓ Real project deployment on cloud (AWS EC2 / Render / Vercel)
  • ✓ Code reviews by industry-experienced mentors (including AI-generated code review)
  • ✓ Placement preparation: mock interviews, resume reviews, LinkedIn optimization
  • ✓ Access to Modern Age Coders alumni network of placed students
  • ✓ Open-source contribution guidance — building a credible GitHub

Your Learning Journey

Phase 1
MERN Vibes (Weeks 1–4): MongoDB, Express.js, React.js, Node.js — build full-stack apps with Cursor IDE, GitHub Copilot & Claude Code
Phase 2
DSA & ML Vibes (Weeks 5–8): Data Structures, Algorithms, Python ML, model deployment + vibe coding rapid prototyping with Lovable & Bolt.new
Phase 3
Career Vibes (Weeks 9–12): System Design, agentic engineering, security for AI-generated code, Capstone, placement prep, professional launch

Career Progression

1
Full Stack Web Developer (₹6–18 LPA)
2
Frontend Developer — React Specialist (₹7–20 LPA)
3
Backend Developer — Node.js/Python (₹8–22 LPA)
4
Junior Machine Learning Engineer (₹10–25 LPA)
5
Software Development Engineer (SDE) at product companies
6
Summer Internships at tech startups and MNCs
7
Freelance Full Stack Developer (₹500–2,500/hour)

Detailed Course Curriculum

Explore the complete week-by-week breakdown of what you'll learn in this comprehensive program.

📚 Topics Covered
  • What is Vibe Coding? — Andrej Karpathy's 2025 concept → 2026's 'agentic engineering' evolution
  • The professional vibe coding workflow: Intent → Spec → Prompt → Generate → Review → Iterate → Ship
  • Setting up Cursor IDE — your primary AI-powered development environment
  • Cursor Composer & Agent mode — multi-file AI development across your entire codebase
  • Setting up GitHub Copilot (free for students) — inline AI completions and chat
  • Introduction to Claude Code — terminal-based AI that understands your full project
  • Windsurf IDE overview — Cascade agent and SWE-1.5 model for lightning-fast completions
  • Advanced JavaScript: ES6+ features — destructuring, spread/rest, optional chaining
  • Asynchronous JavaScript: callbacks, promises, async/await deep dive
  • Event loop and JavaScript's single-threaded model explained
🚀 Projects
  • Products REST API — CRUD operations for a product catalog (in-memory, no DB yet)
  • URL Shortener API — shorten URLs and redirect, stored in memory
  • News Aggregation Proxy — fetch and forward data from a public news API
📚 Topics Covered
  • SQL vs. NoSQL — when to use each, MongoDB's document model
  • MongoDB Atlas setup — cloud database in 5 minutes
  • CRUD operations with MongoDB shell and Compass
  • Mongoose ODM — schemas, models, and data validation
  • Schema design: embedded vs. referenced documents
  • Population — joining documents across collections
  • Indexes for performance — understanding query plans
  • Aggregation pipeline — complex data transformations
  • Pagination and sorting on large datasets
  • Data validation with Joi / Zod
🚀 Projects
  • Blogging Platform API — full CRUD for posts, with categories, tags, and pagination
  • Student Records System — schema design with references between students, courses, grades
  • E-Commerce Product Catalog — categories, variants, stock tracking in MongoDB
📚 Topics Covered
  • React fundamentals: JSX, components, props, and the virtual DOM
  • State management with useState — reactive UI basics
  • useEffect — side effects, data fetching, and cleanup
  • Component composition — building UIs from small, reusable pieces
  • Conditional rendering and list rendering with keys
  • Event handling in React — forms, clicks, input controlled components
  • React Router v6 — client-side navigation and nested routes
  • Custom hooks — extracting and reusing complex logic
  • Context API — sharing state without prop drilling
  • React Query / TanStack Query — server state management
🚀 Projects
  • Task Management Dashboard — Kanban-style board with drag and React state
  • Movie Browser — fetches TMDB API, search, filter, detailed movie pages
  • Expense Tracker — add/categorize/delete expenses, charts with Chart.js
📚 Topics Covered
  • User authentication — registration, login, logout flows
  • Password hashing with bcrypt — never store plain text passwords
  • JWT (JSON Web Tokens) — stateless authentication explained
  • Protected routes — both API endpoints and React pages
  • Role-based access control (RBAC) — admin vs. user permissions
  • Connecting React frontend to Express backend across environments
  • CORS configuration — handling cross-origin requests
  • HTTP-only cookies for secure token storage
  • File uploads with Multer and Cloudinary / AWS S3
  • Rapid prototyping with Lovable — build a full-stack MVP by chatting with AI
🚀 Projects
  • Full-Stack Social Notes App — register/login, create/edit/delete notes, private per user
  • Recipe Sharing Platform — MERN app with auth, image uploads, saved recipes
📚 Topics Covered
  • Why DSA matters — the real purpose of data structures in engineering
  • Time Complexity & Big O Notation — measuring efficiency
  • Space Complexity — memory analysis
  • Arrays: two-pointer technique, sliding window, prefix sums
  • String problems: anagrams, palindromes, pattern matching
  • Hash Maps & Hash Sets — O(1) lookup and counting patterns
  • Linked Lists: singly, doubly, circular — implementation and operations
  • Linked list problems: reverse, detect cycle, find middle, merge sorted lists
  • Stacks: implementation, use cases (balanced brackets, undo operations)
  • Queues: implementation, BFS patterns
🚀 Projects
  • LeetCode Top 50 Arrays & Strings — solve 15 curated problems with explanations
  • Custom Hash Map Implementation — build a hash map from scratch in Python
  • Text Editor Undo/Redo — stack-based implementation with UI
📚 Topics Covered
  • Binary Trees — traversals: inorder, preorder, postorder, level order
  • Binary Search Trees (BSTs) — operations and balancing concepts
  • Tree problems: height, diameter, LCA, path sum, zigzag traversal
  • Heaps & Priority Queues — min-heap, max-heap, heapify
  • Graphs: representations (adjacency list vs. matrix), directed vs. undirected
  • BFS — shortest path in unweighted graphs, level-order problems
  • DFS — cycle detection, topological sort, connected components
  • Dijkstra's Algorithm — weighted shortest path
  • Union-Find (Disjoint Set Union) — efficient connectivity queries
  • Dynamic Programming: memoization vs. tabulation, top-down vs. bottom-up
🚀 Projects
  • Graph Visualizer — interactive BFS/DFS visualization built with React
  • Pathfinding Visualizer — Dijkstra's and A* in a grid, visually animated
  • Course Prerequisite Checker — topological sort applied to a real problem
📚 Topics Covered
  • Machine Learning overview — supervised, unsupervised, reinforcement learning
  • The ML workflow: data → features → model → evaluate → deploy
  • Data exploration with pandas — statistical analysis and visualizations
  • Feature engineering — creating meaningful inputs for ML models
  • Train/test/validation split — avoiding overfitting and data leakage
  • Linear Regression — predicting continuous values (housing prices, salaries)
  • Logistic Regression — binary classification problems
  • Decision Trees and Random Forests — ensemble methods
  • Support Vector Machines (SVM) — classification with hyperplanes
  • K-Means Clustering — unsupervised customer segmentation
🚀 Projects
  • House Price Predictor — regression model trained on real estate dataset
  • Email Spam Classifier — text-based binary classification with logistic regression
  • Customer Segmentation — K-means on e-commerce purchase data
📚 Topics Covered
  • Neural Networks — neurons, layers, activation functions explained intuitively
  • How deep learning trains — gradient descent, backpropagation
  • TensorFlow and Keras — building and training neural networks
  • Convolutional Neural Networks (CNNs) — image recognition
  • Transfer Learning — using pre-trained models (MobileNet, ResNet) for new tasks
  • Natural Language Processing basics — tokenization, embeddings, TF-IDF
  • Hugging Face Transformers — using BERT and GPT models via Python
  • Model serialization — saving and loading trained models
  • Deploying ML models as REST APIs with Flask/FastAPI
  • Streamlit — building beautiful ML demo apps with pure Python
🚀 Projects
  • Image Classifier API — custom CNN trained on a dataset of your choice, deployed
  • Sentiment Analysis Web App — Hugging Face transformer, Flask API, Streamlit UI
  • Real-Time Object Detector — webcam feed with YOLO model via OpenCV
📚 Topics Covered
  • What is System Design? Why it's asked in every senior tech interview
  • Agentic Engineering — Karpathy's evolution of vibe coding: orchestrating AI agents for complex tasks
  • Using Claude Code for large codebase navigation — AI that understands your entire project
  • Cursor Agent mode: giving AI a task, letting it plan and execute across dozens of files
  • Multi-agent workflows: using Cursor (planning) + Claude Code (execution) + Copilot (inline) together
  • Scalability: horizontal vs. vertical scaling
  • Load Balancers — distributing traffic, round-robin, least connections
  • Databases at scale: sharding, replication, read replicas
  • SQL vs. NoSQL selection framework — when each is right
  • Caching strategies: Redis basics, cache-aside, write-through, TTL
🚀 Projects
  • System Design Document — write a complete design document for a URL shortener at scale
  • Redis Caching Layer — add Redis caching to your MERN capstone app
  • Docker Compose Setup — containerize your full MERN stack with Docker Compose
📚 Topics Covered
  • AWS core services: EC2, S3, RDS, CloudFront, Route 53
  • Deploying a Node.js app on EC2 with Nginx reverse proxy
  • AWS S3 — storing and serving static assets and user uploads at scale
  • SSL/TLS certificates — HTTPS with Let's Encrypt
  • CI/CD pipelines with GitHub Actions — test, build, deploy automatically
  • Environment management — dev, staging, production environments
  • CRITICAL: Security risks of vibe-coded apps — 45% of AI-generated code contains OWASP vulnerabilities (Wiz Security study)
  • Web Application Security: OWASP Top 10 for developers — with specific AI-generated code examples
  • SQL injection, XSS, CSRF in AI-generated code — what AI commonly gets wrong
  • Security audit workflow: using OWASP ZAP and Snyk to scan vibe-coded apps
🚀 Projects
  • Production Deployment: Deploy your MERN capstone with HTTPS on AWS EC2 via Nginx
  • Automated CI/CD: Full GitHub Actions pipeline — lint, test, deploy on merge to main
  • Security Audit: Run OWASP ZAP against your app and fix at least 3 vulnerabilities
📚 Topics Covered
  • The placement roadmap — on-campus and off-campus strategy for 2026
  • Resume that gets shortlisted — ATS optimization, STAR format, quantification
  • GitHub portfolio for job seekers — README, contributions, and credibility
  • LinkedIn optimization: headline, about section, skills endorsements
  • Behavioural interview prep: STAR method for tech companies
  • Technical interview process — online assessment, DSA round, system design, HR
  • DSA rapid revision — top 20 most frequently asked interview questions
  • Mock Interview Session 1: Full 45-minute technical mock with feedback
  • Mock Interview Session 2: System design mock — 30 minutes
  • Negotiating your offer — salary benchmarks for fresher SDE roles India
🚀 Projects
  • Professional Portfolio Website v2 — updated with all 12-week projects, live, SEO-optimized
  • Optimized Resume — ATS-ready, reviewed by an industry mentor
  • GitHub Portfolio Cleanup — all key repos have great READMEs, demo links, and screenshots
📚 Topics Covered
  • Grand Capstone final polish — code review, performance optimization
  • Writing a technical blog post about your capstone project (Medium / Dev.to)
  • SEO optimization for your portfolio — getting found by recruiters
  • Open source contribution: submit a PR to a real open-source project
  • The modern developer identity: traditional coding + vibe coding + agentic engineering
  • Your vibe coding toolkit mastery recap: Cursor, Claude Code, Windsurf, Copilot, Lovable, Bolt.new, v0.dev
  • The developer mindset — growth, continuous learning, imposter syndrome
  • Building in public — Twitter/X, LinkedIn, community engagement
  • Advanced paths beyond Vibe Coding: Competitive Programming, ML research, DevOps, AI Engineering
  • Modern Age Coders Alumni Network — joining and giving back
🚀 Projects
  • GRAND CAPSTONE — 'Production-Grade Vibe Project': A complete, full-stack (MERN) OR ML-powered application built using a professional vibe coding workflow (Cursor IDE + Claude Code + AI app builders for prototyping). Must include: user authentication, real data, API integrations, responsive UI, full cloud deployment, CI/CD pipeline, security audit (AI-generated code reviewed for OWASP vulnerabilities), documented on GitHub, and presented live to a panel of industry mentors with a walkthrough of both the product AND the AI-assisted development process
🎯 Assessment

Grand Capstone: Live Demo → Code Review → System Design Q&A → Panel Feedback

Projects You'll Build

Build a professional portfolio with 15+ production-grade projects + 100+ DSA problems solved real-world projects.

🚀
Phase 1 (Weeks 1–4): 8+ MERN stack projects — REST APIs, React apps, full-stack authenticated apps
🚀
Phase 2 (Weeks 5–8): 6+ DSA visualizers + 3 ML models trained, evaluated & deployed
🚀
Phase 3 (Weeks 9–12): System design documents, Docker/AWS deployments, Grand Capstone

Weekly Learning Structure

Live Sessions
2 sessions (2 hours each)
Dsa Practice
3–4 hours (10+ problems/week)
Project Work
4–6 hours
Total Per Week
10–15 hours

Certification & Recognition

🏆
Final Certificate
Vibe Coder — College Level: Full Stack & AI Engineer (Modern Age Coders Certified)
🏆
Capstone Required
Production-grade MERN or ML app with auth, cloud deployment, CI/CD, and security audit
🏆
Dsa Milestone
100+ LeetCode problems solved with documented approaches
🏆
Portfolio
Professional developer portfolio + optimized GitHub + LinkedIn

Technologies & Skills You'll Master

Comprehensive coverage of the entire modern web development stack.

Frontend
React 18, React Router, TanStack Query, Tailwind CSS, Vite, v0.dev
Backend
Node.js, Express.js, REST API design, JWT auth, bcrypt, Multer
Database
MongoDB, Mongoose, schema design, aggregation, indexing
Vibe Coding
Cursor IDE (Composer + Agent), Claude Code, Windsurf, GitHub Copilot, Lovable, Bolt.new
DSA
Arrays, Strings, Linked Lists, Trees, Graphs, DP, Greedy — 100+ LeetCode problems
Machine Learning
scikit-learn, pandas, TensorFlow/Keras, Hugging Face, model deployment
DevOps
Git, GitHub Actions, Docker, AWS EC2/S3, Nginx, CI/CD pipelines
System Design
load balancing, caching, Redis, microservices, database scaling
Security
OWASP Top 10, AI-generated code auditing, rate limiting, secrets management

Support & Resources

✓
Mentorship
Code reviews by industry-experienced mentors
✓
Mock Interviews
Technical mock interviews (DSA + System Design) with feedback
✓
Placement Support
Resume reviews, LinkedIn optimization, job referral channels
✓
Community
Access to Modern Age Coders alumni network of placed students
✓
Career Guidance
Freelancing, internship, and placement strategy sessions

Career Outcomes & Opportunities

Transform your career with industry-ready skills and job placement support.

Prerequisites

Education
College student (any year) or recent graduate — any branch welcome
Coding Experience
Familiarity with at least one programming language (Python, Java, C++, or JavaScript)
Web Basics
Basic understanding of HTML/CSS (completing Vibe Coding for Teens is ideal but not required)
Equipment
Computer/laptop (Windows, Mac, or Linux) with stable internet
Time Commitment
10–15 hours per week — this is an intensive program
Motivation
Serious about building a career in software engineering

Who Is This Course For?

👤
Cs_students
CS/IT/MCA students preparing for campus placements and off-campus hiring
👤
Non_cs_engineers
Engineering students from any branch (Mech, Civil, EE) switching to tech careers
👤
Career_switchers
Recent graduates wanting to break into software development
👤
Dsa_preparation
Students who need structured DSA preparation for product company interviews
👤
Startup_founders
Aspiring founders who want to build their own MVPs at startup speed with AI tools
👤
Freelancers
Students who want to earn through freelance full-stack development while studying

Career Paths After Completion

💼
Full Stack Web Developer (₹6–18 LPA)
💼
Frontend Developer — React Specialist (₹7–20 LPA)
💼
Backend Developer — Node.js/Python (₹8–22 LPA)
💼
Junior Machine Learning Engineer (₹10–25 LPA)
💼
Software Development Engineer (SDE) at product companies
💼
Summer Internships at tech startups and MNCs
💼
Freelance Full Stack Developer (₹500–2,500/hour)
💼
AI/Vibe Coding Consultant — building MVPs for clients with AI tools

Salary Expectations

Fresher Sde
₹6–12 LPA (SDE-1 at product companies and MNCs)
After 6 Months Experience
₹10–18 LPA (with strong portfolio and MERN skills)
After 1 Year
₹15–25 LPA (with ML specialization or senior full-stack role)
Freelance
₹500–2,500/hour based on project complexity and specialization
International Remote
$40k–100k USD (remote roles with international companies)
Startup Founding
Equity-based — build and launch your own product at near-zero cost with vibe coding

Course Guarantees

✓
Production Projects
15+ production-grade projects deployed on real cloud infrastructure
✓
Dsa Readiness
100+ LeetCode problems solved — ready for product company OA rounds
✓
Placement Support
Mock interviews, resume reviews, and job referral network access
✓
Industry Mentorship
Code reviews and feedback from engineers at top companies
✓
Certificate
Official Vibe Coder College Level certification upon completion
✓
Lifetime Community
Lifetime access to alumni network and community channels
✓
Satisfaction
If not satisfied in first 2 weeks, full refund guaranteed
Frequently Asked Questions

Common Questions About Vibe Coding for College — Full Stack, AI & DSA Career Course (Ages 18+)

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