Tech Stack Roadmaps by Career Path ๐ฃ๏ธ
What to learn depending on the job youโre aiming for ๐
1. Frontend Developer
โฏ HTML, CSS, JavaScript
โฏ Git & GitHub
โฏ React / Vue / Angular
โฏ Responsive Design
โฏ Tailwind / Bootstrap
โฏ REST APIs
โฏ TypeScript (Bonus)
โฏ Testing (Jest, Cypress)
โฏ Deployment (Netlify, Vercel)
2. Backend Developer
โฏ Any language (Node.js, Python, Java, Go)
โฏ Git & GitHub
โฏ REST APIs & JSON
โฏ Databases (SQL & NoSQL)
โฏ Authentication & Security
โฏ Docker & CI/CD Basics
โฏ Unit Testing
โฏ Frameworks (Express, Django, Spring Boot)
โฏ Deployment (Render, Railway, AWS)
3. Full-Stack Developer
โฏ Everything from Frontend + Backend
โฏ MVC Architecture
โฏ API Integration
โฏ State Management (Redux, Context API)
โฏ Deployment Pipelines
โฏ Git Workflows (PRs, Branching)
4. Data Analyst
โฏ Excel, SQL
โฏ Python (Pandas, NumPy)
โฏ Data Visualization (Matplotlib, Seaborn)
โฏ Power BI / Tableau
โฏ Statistics & EDA
โฏ Jupyter Notebooks
โฏ Business Acumen
5. DevOps Engineer
โฏ Linux & Shell Scripting
โฏ Git & GitHub
โฏ Docker & Kubernetes
โฏ CI/CD Tools (Jenkins, GitHub Actions)
โฏ Cloud (AWS, GCP, Azure)
โฏ Monitoring (Prometheus, Grafana)
โฏ IaC (Terraform, Ansible)
6. Machine Learning Engineer
โฏ Python + Math (Linear Algebra, Stats)
โฏ Scikit-learn, Pandas, NumPy
โฏ Deep Learning (TensorFlow/PyTorch)
โฏ ML Lifecycle (Train, Tune, Deploy)
โฏ Model Evaluation
โฏ MLOps (MLflow, Docker, FastAPI)
React with โค๏ธ if you found this helpful โ content like this is rare to find on the internet!
Credits: https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
Coding Projects: https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
ENJOY LEARNING ๐๐
Post #2950
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