Machine Learning in the Enterprise

Google Cloud via Coursera

Coursera based on 1,482 ratings

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Overview

Machine Learning in the Enterprise is a specialized course designed for professionals and decision-makers aiming to integrate machine learning (ML) into business environments effectively. This course focuses on the practical application of ML technologies to solve real-world enterprise challenges, optimize operations, and drive innovation. You will explore how to identify suitable business problems for machine learning, develop ML strategies aligned with organizational goals, and navigate the complexities of deploying ML models at scale. The course covers the end-to-end ML lifecycle in...

Syllabus

Introduction

This module provides an overview of the course and its objectives.

Understanding the ML Enterprise Workflow

This module discusses the ML enterprise workflow and the purpose of each step.

Data in the Enterprise

This module reviews Googles enterprise data management and governance tools: Feature Store, Data Catalog, Dataplex, and Analytics Hub.

Science of Machine Learning and Custom Training

This module reviews the art and science of machine learning and neural networks. We'll also discuss how to train custom ML models using Vertex AI.

Vertex Vizier Hyperparameter Tuning

In this module we discuss how to do hyperparameter tuning using Vertex AI Vizier.

Prediction and Model Monitoring Using Vertex AI

This module covers Vertex AI prediction and model monitoring. We'll first discuss batch and online predictions using pre-built and custom containers, then we'll review model monitoring, which is a service thats manage the performance of your ML models.