Mastering MLOps: Complete course for ML Operations

Advanced hands-on bootcamp of MLOps with MLFlow, Scikit-learn, CI/CD, Azure, FastAPI, Gradio, SHAP, Docker, DVC, Flask..

Created by: Data Bootcamp
data scientist

What Will I Learn?

• MLOps fundamentals
• MLOps toolbox
• Model versioning with MLFlow
• Data versioning with DVC
• Auto-ML and Low-code MLOps
• Model Explainability, Auditability, and Interpretable machine learning
• Containerized Machine Learning WorkFlow With Docker
• Deploying ML in Production through APIS
• Deploying ML in Production through web applications
• MLOps in Azure Cloud

Requirements

• Python fundamentals

Target audience

• Machine Learning engineers and Data Scientists interested in MLOps
• Machine Learning professionals who want to deploy models to production
• Anyone interested in developing APIs in FastAPI or Flask
• Anyone who wants to learn Docker, Azure, DVC o MLFlow