🚀 AI Engineer Roadmap: Looking for Your Feedback

Hi everyone! 👋

Over the past few weeks, I've been putting together a roadmap for anyone who wants to become an AI Engineer through hands-on projects rather than only watching tutorials.

The roadmap covers topics such as:

🐍 Python

📊 Data Science

🤖 Machine Learning

🧠 Deep Learning (PyTorch)

🔄 Transformers

🤗 Hugging Face

💬 Large Language Models (LLMs)

📚 RAG (Retrieval-Augmented Generation)

🔗 LangChain & LangGraph

⚡ FastAPI

🐳 Docker

🗄️ Databases

🚀 MLOps

My goal is to keep improving it and eventually turn it into a practical, project-based guide for aspiring AI Engineers.

I'd really appreciate your feedback:

Is there anything important I'm missing?

Would you change the learning order?

Any topics you think should be added or removed?

You can find the roadmap here:

👉 https://github.com/ArshiaLogic/ai-engineer-roadmap

Thanks in advance! I hope it can be useful for others as well. 😊