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.
Looking to upskill your team(s) or organization?
Diego will gladly help you further with custom training solutions.
Diego Teunissen
Data and AI Training Advisor
Duration
3 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
- 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
What does it look like?
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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