This repository documents my structured path toward becoming an AI Engineer.
It contains my study notes, practice exercises, and hands-on projects across different AI domains — starting from fundamentals and progressing toward advanced topics.
ai-learning-journey/
│
├── 01-python-fundamentals/
├── 02-math-for-ai/
├── 03-machine-learning/
├── 04-deep-learning/
├── 05-nlp-fundamentals/
├── 06-llm-applications/
├── 07-agentic-ai/
└── 08-llmops/
Each phase includes:
- 📘 Study notes
- 🛠️ Practical exercises
- 🚀 Mini-projects
- 📈 Progress tracking
- Build strong AI foundations
- Apply theory through real projects
- Track long-term progress
- Maintain structured and disciplined learning
Phase 01 — Python Fundamentals
Phase 02 — Mathematics for AI
This repository is continuously evolving as I progress through each phase.