Summary
In this chapter, we discussed the transformative influence of no-code platforms in democratizing AI and machine learning, allowing individuals without specialized coding knowledge to develop sophisticated models. You also learned about the no-code machine learning options available through Google Cloud’s Vertex AI toolset, and we explored the steps to build, evaluate, deploy, and generate predictions with an AutoML model. The chapter serves as a practical guide for users interested in leveraging Google Cloud’s machine learning capabilities without writing code.
In the next chapter, we will explore some low-code options to build a machine learning model. Although that would require some additional technical skills compared to the no-code options discussed in this book, it would also give you more fine-grained control over how your model is built.
