MLOps on GCP
26 August, 2026 – 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.
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Brijesh Kohli
Academy Advisor
What will you learn?
This training takes you through the entire machine learning lifecycle on Google Cloud. You will explore the fundamentals of MLOps, learn how to build pipelines, deploy models, and monitor their performance.
The program emphasizes automation, scalability, and reliability, ensuring you are equipped to manage ML solutions in production environments. Whether it is optimizing workflows or troubleshooting issues, this course gives you the skills to drive value through operational excellence in ML.
Key takeaways
- Understand the principles of MLOps
- Build and deploy ML pipelines on GCP
- Automate workflows for reliability
- Monitor and optimize model performance
- Scale ML solutions efficiently
- Explore Google Cloud AI tools
Program
- Discover key MLOps principles
- Creating a solution design
- Data versioning, environments and compute targets
- ML training jobs
- Experiment tracking
Who is it for?
This training is perfect for data scientists, machine learning engineers, developers, and IT professionals looking to operationalize ML models.
If you are eager to enhance your skillset with MLOps and streamline your AI workflows on GCP, this program is tailored for you.
Requirements
Basic knowledge of the topic is beneficial.
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, you will receive a confirmation email with practical information.
See you soon!
Course information
Available remotely or in-person
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
