Bringing It All Together: Building ML Solutions with Google Cloud and Vertex AI
You’ve finally made it! This is the last chapter in our book. In this chapter, we will bring together the topics we’ve learned in this book by building a couple of example solutions that combine multiple concepts and Google Cloud services we discussed throughout the book. This chapter focuses mainly on building solutions, so it will be short on textual content, and the primary activities will be outlined in the Jupyter Notebook files accompanying the chapter.
We will build two solutions in the chapter: the first will be a deeper dive into retrieval-augmented generation (RAG), and the second will be an end-to-end solution that combines traditional machine learning (ML), MLOps, and generative AI.
The topics in this chapter are as follows:
- Building a RAG implementation piece by piece
- An example business use case and reference architecture
- Building and implementing the use...
