MLOps on GCP
29 May, 2024 – Amsterdam, The Netherlands
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.
09:00 – 17:00
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
- 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:
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
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!
All literature and course materials are included in the price
After registering for this course, you will receive a confirmation email with practical information
This course requires a laptop
Online courses are delivered via Zoom or Microsoft Teams
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 does it look like?
should I know?
You will receive a confirmation email after registering for the MLOps on GCP course. Additional information will also be sent if you need to prepare before the course starts.
See you soon!
All literature and course materials are included in the price.
When given in-person, you will receive a delicious lunch. You will be asked about any dietary requests by email.
Meet the trainers
Marco Heimeshoff – Trainer at Xebia Academy Trainer, speaker, software developer, KanDDDinsky, Doman-driven Design, VirtualDDD.com, DDD, agile, software, functional programming, CQRS, event sourcing, Domain Models in Practice
Meet Koen Maes, trainer at Xebia Academy. Koen is a Google Cloud Platform specialist and trains on behalf of Xebia in GCP courses, like Networking in Google Cloud Platform and Security in Google Cloud Platform. View Koen’s full profile and training courses on Xebia Academy.
Riccardo is a Test-Driven Development trainer and trains on behalf of Xebia in Quality Test Automation and Playwright trainings. View Riccardo’s full profile and training courses on Xebia Academy.
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