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AI Learning Journey 🚀

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.

📂 Repository Structure

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

🎯 Purpose of This Repository

  • Build strong AI foundations
  • Apply theory through real projects
  • Track long-term progress
  • Maintain structured and disciplined learning

🔄 Current Focus

Phase 01 — Python Fundamentals
Phase 02 — Mathematics for AI


📌 Note

This repository is continuously evolving as I progress through each phase.


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Organized learning roadmap for AI Engineering, including theory, notes, and hands-on projects.

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