Machine Learning Operations with Google Cloud Platform (MLOps with GCP)

Overview

Embark on a transformative learning journey with the "Machine Learning Operations with Google Cloud Platform (MLOps with GCP)" professional certificate course on edX. This specialized program, developed by Statistics.com, a training platform powered by the expertise of Elder Research, equips you with both data engineering and data science skills essential for deploying machine learning models efficiently.

The traditional method of passing projects between data scientists and data engineers often results in delays and errors.

Addressing this, our course molds you into an AI engineer proficient in understanding and integrating the roles of both, effectively streamlining the deployment process. By mastering the intricacies of deploying machine learning on Google Cloud Platform, you position yourself for career advancement in the burgeoning field of AI engineering.

The course curriculum is designed to teach you how to collaborate with data scientists to deploy models that not only learn from data but also perform actions based on automated predictions, recommendations, or decisions.

You'll construct a robust GCP pipeline that ingests data to train models, feeds ongoing operations, scores data, outputs actions, and integrates seamlessly with business applications.

Furthermore, you will refine your pipeline to continuously monitor operational metrics such as incoming data for data drift and decision outputs for anomalies. Through Statistics.com, leverage decades of data analytics expertise from Elder Research to gain actionable, cutting-edge skills that are immediately applicable across a spectrum of industries.

This course falls into multiple relevant categories including Google Cloud Platform (GCP) Courses, MLOps Courses, and DevOps Courses, perfectly aligning with current technological demands and industry needs.

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Taught by

Evan Wimpey, Vic Diloreto, Laura Lancheros, Greg Carmean, Kuber Deokar, Janet Dobbins, John Elder, IV, Shree Taylor, Bryce Pilcher, Allison Marrs, Ramzi Ziade, LeAnna Kent, Henry Mead, Peter Bruce, Veronica Carlan and Jericho McLeod

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Subjects