MLOps on GCP

11 november, 2024Amsterdam, The Netherlands

3 days
In Person
Data Analytics
Data Engineering
Data Science
Gegevens en AI
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

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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

Duur

3 days

Tijd

09:00 – 17:00

Taal

English

Lunch

Included

Certificering

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
  • Create a solution design
  • Get started with the cloud tooling
  • Discover training jobs and pipelines

This training is for you if:

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

Want to incorporate best practices from Software Engineering

Already have foundational software engineering skills (Python, Git, Docker)

Want to learn more about GCP and MLOps.

This training is not for you if:

Want to learn more about developing ML models in itself, this knowledge is already assumed (check out the Certified Data Science with Python or the Advanced Data Science with Python trainings)

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

Want to learn in more general terms how to develop production-ready applications without working with a specific public cloud (check out our Production-Ready Machine Learning course)

Are mainly interested in doing (exploratory) research. This course is much oriented towards ML engineering

You are interested in trainings about a different public cloud than GCP. Check out our MLOps on Azure training and our generic MLOps 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

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