1. Foundations (Beginner Level)
1.1. ✅ Mathematics & Logic
1.1.1. Discrete Mathematics
1.1.2. Boolean Algebra
1.1.3. Data Structures & Algorithms (DSA)
1.1.4. Complexity Analysis (Big-O Notation)
1.2. ✅ Programming Basics
1.2.1. Choose a Language: Python, Java, JavaScript, C++, Go
1.2.2. Variables, Loops, Conditions
1.2.3. Functions & Recursion
1.2.4. Object-Oriented Programming (OOP)
1.3. ✅ Version Control
1.3.1. Git & GitHub/GitLab/Bitbucket
1.3.2. Git Commands: clone, commit, push, pull, merge, rebase
1.3.3. Branching & Merging Strategies
1.4. ✅ Operating Systems & Terminal
1.4.1. Linux (Ubuntu, CentOS) & Shell Scripting
1.4.2. Process Management, Memory Management
1.4.3. File System & Permissions
1.5. ✅ Networking Basics
1.5.1. HTTP/HTTPS, FTP, TCP/IP, UDP
1.5.2. DNS, DHCP, VPN
1.5.3. REST APIs & WebSockets
2. 6. DevOps & Deployment
2.1. ✅ Infrastructure as Code (IaC)
2.1.1. Terraform
2.1.2. Ansible
2.2. ✅Continuous Integration / Continuous Deployment (CI/CD)
2.2.1. GitHub Actions, GitLab CI, Jenkins
2.3. ✅ Monitoring & Logging
2.3.1. Prometheus, Grafana
2.3.2. ELK Stack (Elasticsearch, Logstash, Kibana)
2.4. ✅ Cybersecurity Basics
2.4.1. OWASP Top 10
2.4.2. Penetration Testing
3. 8. Blockchain & Web3 (Optional Path)
3.1. ✅ Blockchain Basics
3.2. ✅ Web3 Development
4. 9. Software Engineering Best Practices
4.1. ✅ Design Patterns
4.2. ✅ Testing Strategies
4.3. ✅ Code Quality & Performance Optimization
4.4. ✅ Soft Skills & Career Growth
5. 2. Computer Science Core Concepts (Intermediate Level)
5.1. ✅ Data Structures & Algorithms
5.1.1. Arrays, Linked Lists, Stacks, Queues
5.1.2. Trees (BST, AVL), Graphs
5.1.3. Sorting & Searching Algorithms
5.1.4. Dynamic Programming
5.2. ✅ Database Management Systems (DBMS)
5.2.1. SQL (PostgreSQL, MySQL, SQLite)
5.2.2. NoSQL (MongoDB, Cassandra, Firebase)
5.2.3. Indexing, Normalization, Transactions
5.2.4. ORMs (SQLAlchemy, Hibernate, Prisma)
5.3. ✅ Software Development Lifecycle (SDLC)
5.3.1. Agile & Scrum
5.3.2. Waterfall vs Agile
5.3.3. DevOps Principles
5.4. ✅ System Design & Architecture
5.4.1. Monolithic vs Microservices
5.4.2. Monolithic vs Microservices
5.4.3. Load Balancing, Caching, CDN
5.4.4. Distributed Systems & Scalability
5.4.5. CAP Theorem
6. 3. Backend Development (Specialization)
6.1. ✅ Languages & Frameworks
6.1.1. Python: Flask, Django, FastAP
6.1.2. JavaScript: Node.js (Express, NestJS)
6.1.3. Java: Spring Boot
6.1.4. Go: Gin, Fiber
6.1.5. C#: .NET Core
6.2. ✅ Authentication & Security
6.2.1. JWT, OAuth, SAML
6.2.2. Secure Password Hashing (BCrypt, Argon2)
6.2.3. API Security Best Practices
6.3. ✅ Message Queues & Streaming
6.3.1. Kafka, RabbitMQ, Redis Streams
6.4. ✅ Containerization & Orchestration
6.4.1. Docker
6.4.2. Kubernetes (K8s)
6.5. ✅ Cloud Platforms
6.5.1. AWS (EC2, S3, Lambda, DynamoDB)
6.5.2. Google Cloud Platform (GCP)
6.5.3. Microsoft Azure
7. 4. Frontend Development (Specialization)
7.1. ✅ HTML, CSS, JavaScript
7.1.1. CSS Frameworks (Tailwind, Bootstrap)
7.1.2. JavaScript Fundamentals
7.2. ✅ Frontend Frameworks
7.2.1. React.js (Next.js
7.2.2. Vue.js (Nuxt.js)
7.2.3. Angular
7.3. ✅ State Management
7.3.1. Redux, MobX, Vuex, Pinia
7.4. ✅ Frontend Testing
7.4.1. Jest, Cypress, React Testing Library
7.5. ✅ Progressive Web Apps (PWA)
7.5.1. Service Workers
7.5.2. Web Push Notifications
8. 5. Mobile Development (Specialization)
8.1. ✅ Native Development
8.1.1. Android: Java/Kotlin
8.1.2. iOS: Swift
8.2. ✅ Cross-Platform Development
8.2.1. Flutter (Dart)
8.2.2. React Native
8.2.3. Kotlin Multiplatform
8.3. ✅ Mobile App Deployment
8.3.1. Play Store, App Store
8.3.2. CI/CD for Mobile Apps