Building Scalable and Robust Machine Learning Systems
- Introduction to Machine Learning Engineering: Python
- Data Collection and Cleaning: SQL, Python, and OpenRefine
- Feature Engineering: pandas, scikit-learn, and TensorFlow
- Model Building and Optimization: scikit-learn, TensorFlow, and Keras
- Model Deployment and Scalability: Docker, Kubernetes, and AWS
- Distributed Systems and Cloud Computing: Spark, and AWS