MLOps on GCP

14 May, 2025Amsterdam, The Netherlands

2 days
In Person
Data Analytics
Data Engineering
Data Science
Google Cloud Platform (GCP)

With this course, you will discover what MLOps is and how you can apply it in GCP (Google Cloud Platform). For example, you will learn more about Google Cloud’s Vertex AI, Cloud Run, and Cloud Function. This course is aimed at people with Python skills and general ML experience.

Book this training

Book now

Looking to upskill your team(s) or organization?

Rozaliia will gladly help you further with custom training solutions.

Rozaliia Khafizova
Data and AI Training Advisor

+31 6 11 58 19 37
Rozaliia.Khafizova@xebia.com
linkedin.com/in/rozaliya-k

Get in touch

Duration

2 days

Time

09:00 – 17:00

Language

English

Lunch

Included

Certification

No

Level

Professional

What will you learn?

After the training, you will be able to:

Understand all the necessary components in an end-to-end ML system

Set up Cloud Monitoring dashboards for your application

Create and trigger machine learning pipelines with Vertex AI and Cloud Functions

Integrate and deploy all code through a CI/CD pipeline with Github Actions

Deploy your model as scalable API with FastAPI, Docker and Cloud Run

Program

  • Discover key MLOps principles
  • Creating a solution design
  • Data versioning, environments and compute targets
  • ML training jobs
  • Experiment tracking

This training is for you if:

You already have a solid understanding of ML, and want to take your models outside of the development phase.

You want to incorporate best practices from Software Engineering

You already have foundational software engineering skills (Python, Git, Docker)

You want to learn more about GCP and MLOps.

This training is not for you if:

You want to learn how to develop ML models (check out the Certified Data Science with Python or the Advanced Data Science with Python trainings)

You do not have basic programming experience (check out our Python for Data Analyst course)

You want to learn general methods for developing production-ready applications without focusing on a specific public cloud (check out our Production-Ready Machine Learning course)

Your primary interest is in (exploratory) research; this course is geared towards ML engineering

You are interested in a different cloud service (check out our MLOps on Azure training or our MLOps on AWS training)

Why should I do this training?

Learn best practices about deploying machine-learning applications on GCP

Hands-on training with real life examples – learn today apply tomorrow!

Get taught by machine-learning experts that love to teach in a very fun and interactive learning environment

What else should I know?

After registering for this training, you will receive a confirmation email with practical information. A week before the training, the trainer will get in touch to ask you about any requirements you may have and any pre-course tasks you will need to do.

See you soon!

Training information

All literature and course materials are included in the price

Information on the software and tooling will be shared before the start date

This course requires a laptop

Online courses are delivered via Zoom or Microsoft Teams

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