Professional Machine Learning Engineer

What you'll practice

• Architecting high-performance ML solutions~16.67%
• Architecting ML solutions~20%
• Data and ML Problem Framing~20%
• Data preparation and feature engineering~16.67%
• Data Preparation and Processing~20%
• Designing machine learning models~25%
• Developing and deploying machine learning models~25%
• ML Infrastructure and Pipelines~20%
• ML Model Development~20%
• ML Model Serving and Management~20%
• ML pipelines and automation~16.67%
• ML solution automation and orchestration~20%
• ML solution monitoring, optimization, and maintenance~20%
• ML solution optimization~16.67%
• Model deployment and monitoring~16.67%
• Model development~16.67%
• Monitoring and optimizing machine learning models~25%
• Orchestrating and automating machine learning pipelines~25%