Thread My Roadmap to Becoming an AI/ML Engineer.

My Roadmap to Becoming an AI/ML Engineer. Python & NumPy ✅ — Master the fundamentals and practice numerical computing. Data Foundations — Learn Pandas, SQL, PostgreSQL, and Git. Build a data analysis project. Math & Classical ML — Study statistics, linear algebra, scikit-learn, and XGBoost. Build your first ML model. Deep Learning & Transformers — Learn PyTorch and Hugging Face. Build a neural network and a transformer-based application. LLM Engineering & AI Agents — Learn RAG, vector databases, LoRA/QLoRA, and AI agents. Build a document-based AI assistant. Production AI — Learn FastAPI, Docker, CI/CD, MLflow, and AWS. Deploy your AI application. The goal isn't just to finish tutorials. It's to build projects, solve real problems, and create a portfolio. One step at a time. One project at a time. Bootcamp: https://chat.whatsapp.com/LS93hzXRl0ZJqbARzOOXNE