Summary
In this chapter, we have learned about the evolution of software development and infrastructure to facilitate ML. We delved into the concepts of MLOps, followed by getting acquainted with a generic MLOps workflow that can be implemented in a wide range of ML solutions across multiple industries.
In the next chapter, you will learn how to characterize any ML problem into an MLOps-driven solution and start developing it using an MLOps workflow.