1. Programming Foundations
- Python (must-have for AI, Data Science, Automation)
- JavaScript (must-have for Web & Mobile apps)
- OOP Concepts (with basics in Java/C++)
📚 What You'll Learn
2. Web & App Development
- Front-end:
- HTML, CSS, JavaScript
- Frameworks: React / Next.js
- Back-end:
- Node.js / Express (JavaScript)
- Django (Python)
- Spring Boot (Java)
- Databases:
- SQL: MySQL, PostgreSQL
- NoSQL: MongoDB, Firebase
- Mobile Apps:
- React Native / Flutter
3. Data & AI (Beginner Path)
- Python Libraries: NumPy, Pandas, Matplotlib
- Data Analysis & Visualization: Excel, Power BI, Tableau
- Machine Learning Basics: scikit-learn, simple ML projects
- Generative AI Introduction: OpenAI APIs, LangChain basics, vector DBs (pgvector, Pinecone)
4. Cloud & DevOps Basics
- Cloud Fundamentals: AWS / Azure / GCP (free tier)
- Version Control: Git + GitHub (version control, teamwork)
- CI/CD: GitHub Actions, Vercel, Netlify
5. Placement-Ready Skills
- Problem Solving & DSA: Arrays, strings, recursion, trees, graphs (LeetCode, HackerRank, etc.)
- Communication & Aptitude: For interviews (mock interviews, aptitude prep)
- Portfolio: Build 2+ live projects (with README & deployment)
- Experience: Internship & Hackathon participation
6. Cybersecurity & IT Fundamentals
- Networking Basics: OSI Model, TCP/IP, DNS, HTTP/HTTPS
- Linux Essentials (command line, shell scripting)
- Application Security: OWASP Top 10 awareness
- Cloud Security Basics (IAM in AWS/Azure)
- Ethical Hacking Intro (CTFs, penetration basics)