---
title: "Machine Learning on GCP: From Notebooks to Pipelines"
url: https://daily.dev/posts/machine-learning-on-gcp-from-notebooks-to-pipelines-anbsukdcz
source_url: https://towardsdatascience.com/machine-learning-on-gcp-from-dev-to-prod-with-vertex-ai-c9e42c4b366f
type: article
source: "Towards Data Science"
published: 2024-05-11T13:56:41.105Z
updated: 2024-05-11T13:56:39.143Z
tags: ["machine-learning", "data-science", "gcp", "data-analysis"]
reading_time: 15
upvotes: 2
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Machine Learning on GCP: From Notebooks to Pipelines

**[Towards Data Science](https://daily.dev/sources/tds)** · 15 min read · 2 upvotes · 0 comments

## Summary

The article highlights that AI/Machine Learning/any data-related job is a real job that requires skills, craftsmanship, and tools. It explains the process of moving from a notebook to a real pipeline in production, emphasizing the importance of automation and monitoring. The article also provides a simple use case of a Data Scientist working at an e-commerce company and the steps involved in preparing the data and training a model.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/machine-learning-on-gcp-from-dev-to-prod-with-vertex-ai-c9e42c4b366f>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#data-science](https://daily.dev/tags/data-science), [#gcp](https://daily.dev/tags/gcp), [#data-analysis](https://daily.dev/tags/data-analysis)

[View this post on daily.dev](https://daily.dev/posts/machine-learning-on-gcp-from-notebooks-to-pipelines-anbsukdcz)