Become an engineer who can:
- Build Full Stack Applications
- Design APIs and Databases
- Solve DSA Problems Efficiently
- Deploy Applications on AWS
- Build CI/CD Pipelines
- Use Docker & Kubernetes
- Develop Mobile Apps
- Understand Core CS Fundamentals
- Work across Software, Cloud, Infrastructure and Product
- HTML
- CSS
- JavaScript
- React
- React Native
- Node.js
- Express.js
- MongoDB
- AWS
- Linux
- Git & GitHub
- Jenkins
- Ansible
- Docker
- Kubernetes
- CloudFormation
- Java
- DSA
Daily:
- DSA (2 Problems)
- React (1-2 Hours)
- AWS (1 Hour)
Target:
- Finish Love Babbar Java DSA
- Finish React
- Reach AWS Kubernetes Module
Learn:
- Node.js
- Express
- MongoDB
- REST APIs
- Authentication
SQL:
- Joins
- Subqueries
- CTE
- Window Functions
- Indexes
- Transactions
Target:
- 75 SQL Problems
Target: 30 Questions
Topics:
- Keys
- Normalization
- ACID
- Transactions
- Indexing
- Replication
- Sharding
Target: 30 Questions
Topics:
- OSI
- TCP/IP
- DNS
- HTTP
- HTTPS
- CDN
- Load Balancers
- WebSockets
Target: 30 Questions
Topics:
- Process
- Thread
- Scheduling
- Deadlock
- Memory
- Virtual Memory
- Synchronization
Target: 25 Questions
Topics:
- Encapsulation
- Inheritance
- Polymorphism
- Abstraction
- SOLID Principles
Finish:
- Jenkins
- Ansible
- Docker
- Kubernetes
Target:
Deploy Real Projects
Build:
- Notes App
- Expense Tracker
- Full Stack Mobile App
Full Stack MERN
Features:
- Authentication
- CRUD
- File Upload
- Role Based Access
Deployment:
- AWS EC2
- Nginx
- MongoDB
DevOps Pipeline
GitHub → Jenkins → Docker → Kubernetes → AWS
React Native + MERN
Mobile Client
-
Shared Backend
| Subject | Questions |
|---|---|
| SQL | 75 |
| DBMS | 30 |
| OS | 30 |
| Networking | 30 |
| OOP | 25 |
| System Design | 25 |
| Topic | Problems |
|---|---|
| Arrays | 30 |
| Strings | 25 |
| Linked List | 20 |
| Stack & Queue | 20 |
| Binary Search | 25 |
| Trees | 30 |
| BST | 20 |
| Graph | 30 |
| Dynamic Programming | 40 |
| Backtracking | 15 |
Total:
300+ Problems
AWS:
- IAM
- EC2
- S3
- RDS
- DynamoDB
- CloudFront
- Route53
- VPC
- CloudFormation
- 3-Tier Architecture
DevOps:
- Linux
- Git
- Jenkins
- Maven
- Ansible
- Docker
- Kubernetes
| Area | Hours |
|---|---|
| DSA | 10 |
| Full Stack | 12 |
| AWS/DevOps | 8 |
| Core Subjects | 4 |
| React Native | 4 |
| Projects | 6 |
Total:
40-45 Hours/Week
Checklist:
- 300 DSA Problems
- 75 SQL Problems
- React Completed
- Backend Completed
- AWS Completed
- Docker Completed
- Kubernetes Completed
- Linux Completed
- 3 Full Stack Projects
- 1 DevOps Project
- 1 React Native App
- Resume Ready
- GitHub Portfolio Ready
- → DONE [X]
Do NOT add more courses.
Finish:
- Love Babbar DSA
- AWS + DevOps
- Imran Sir Linux
- Aimerz Full Stack
- React Native
- Core Subjects
- Projects
Then focus on:
- Internships
- Open Source
- Interview Preparation
- Job Applications
Consistency > More Courses. That's a compelling mission, and the open-source angle makes it quite different from most ed-tech platforms.
Your core idea seems to be:
Students learn by teaching.
Anyone can contribute lessons, notes, explanations, projects, and learning paths. The platform is open source, community-driven, and rewards contributors based on the value they create for learners.
This is backed by a real learning principle: teaching a concept often exposes gaps in understanding and helps people retain knowledge better.
Instead of positioning it as "another course platform," position it as:
The GitHub of learning.
Where:
- Students create courses.
- Students improve other students' courses.
- Lessons are versioned.
- Content can be forked and improved.
- The best explanations rise to the top through community feedback.
Not just videos:
- Written explanations
- Visual diagrams
- Flashcards
- Quizzes
- Practice problems
- Project walkthroughs
- Interview preparation guides
- Learning roadmaps
Many students can explain concepts well without being comfortable recording videos.
Rather than paying people immediately, start with reputation.
For example:
- Course completions → points
- High ratings → points
- Accepted edits → points
- Quiz contributions → points
- Community mentoring → points
Similar to how GitHub and Stack Overflow built contributor ecosystems.
This is the hardest part.
You need:
- Community review
- Peer verification
- Upvotes/downvotes
- Contributor reputation
- Expert moderators for advanced topics
Otherwise low-quality AI-generated content will overwhelm the platform.
You could model content like:
Course
├── Module
│ ├── Lesson
│ ├── Quiz
│ └── Resources
└── Contributors
Each lesson has:
- Author
- Revision history
- Community ratings
- Completion analytics
Just like code has commits and pull requests.
Build only:
- User profiles
- Course creation
- Markdown lessons
- Video embedding
- Ratings
- Course completion tracking
- Contributor leaderboard
Skip:
- Certificates
- Payments
- Complex AI features
- Gamification
If executed well, the platform could become a place where:
- Students document what they learn.
- Others improve those explanations.
- Knowledge becomes community-owned.
- Contributors build teaching and communication skills.
- Recruiters can discover strong communicators and educators.
The most important question is not "Can I build it?"
It's:
"Why would a student contribute instead of posting the same content on YouTube, GitHub, or their blog?"
If you can create a strong answer to that-through reputation, collaboration, discoverability, and learning-focused incentives-you may have something genuinely differentiated.