Summary
In this chapter, we delved into the core concepts of MLOps and explored the various levels of maturity that MLOps solutions exhibit in real-world scenarios. We also discussed the various tools and resources that are available as part of the Vertex AI platform, which are designed to help streamline and automate the process of building, deploying, and maintaining ML models.
After reading this chapter, we hope you are able to better articulate the fundamentals of MLOps practices and develop a high-level MLOps strategy for your organization, taking into consideration your organization’s unique requirements and goals, and understand how Vertex AI, as a part of GCP, can play a crucial role in your organization’s MLOps strategy.
In the next chapter, we cover the options available in Google Cloud to store data in order to support your ML solution’s training needs. We also discuss the tools available to you to help you transform large-scale datasets as part...
