🎓 Senior AI Engineer — Mastery Plan Tracker
11 classes · 4 phases (~23 weeks) · 8 hrs/day suggested · 616 planned hours · Curriculum v3 (Python → PyTorch → LLMs → MLOps)
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🎯 Senior AI Engineer — Skills Coverage
🏆 Portfolio Projects (per class)
📓 Daily Study Log
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⚡ Senior AI Stack — Quick Setup
🐍 Python 3.11+ & tooling
python -m venv .venv && source .venv/bin/activate # Windows: .venv\\Scripts\\activate
pip install -U pip
pip install torch torchvision --index-url https://download.pytorch.org/whl/cpu
pip install transformers accelerate peft datasets evaluate
pip install fastapi uvicorn[standard] httpx pydantic pytest pytest-asyncio
pip install polars pyarrow qdrant-client
🦙 Local LLMs (optional)
curl -fsSL https://ollama.com/install.sh | sh
ollama pull llama3.2
ollama pull nomic-embed-text
🐳 Docker (vectors + observability)
docker run -d -p 6333:6333 qdrant/qdrant
# MLflow UI: pip install mlflow && mlflow ui