Statistics.comX: MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services
Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course - MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services.
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MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services
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- Institution Statistics.comX
- Subject Informática
- Level Intermediate
- Prerequisites
Participants should have taken the first two courses (below) and be comfortable working with Python in a cloud-based environment. Learners will gain maximum benefit if they have some familiarity with software development, including git, logging, testing, debugging, code optimization and security.
- Language English
- Video Transcript English
- Associated programs
- Professional Certificate en Machine Learning Operations with Amazon Web Services (MLOps with AWS)
- Associated skillsAutomation, Machine Learning, Amazon Data Pipeline, Amazon Web Services, Data Science, Data Pipeline, Forecasting, Addressing Ethical Concerns, Mathematical Optimization