Statistics.comX: MLOps2 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform
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 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform.
There is one session available:
MLOps2 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform
At a glance
- Institution: Statistics.comX
- Subject: Computer Science
- 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 in Machine Learning Operations with Google Cloud Platform (MLOps with GCP)
- Associated skills:Google Cloud, Addressing Ethical Concerns, Machine Learning, Google Cloud Platform (GCP), Forecasting, Mathematical Optimization, Data Pipeline, Data Science, Automation