Summary

In this chapter, we provided a brief overview of recommender systems, different techniques used for building them, and detailed steps for training, deploying, and querying a movie recommender model on Google Cloud’s Vertex AI. Since the key objective was to showcase how you can address a real-world use case using GCP Vertex AI, we kept the core model somewhat simple. But if you are interested in doing a deeper dive into recommender solutions, you can look at courses such as Recommender Systems Specialization on Coursera.

In the next chapter, we will look into another real-world use case around building a vision-based machine learning solution to detect defects during the manufacturing process.