Summary
Congratulations! You have just experienced building an end-to-end MLOps workflow from scratch. You have trained and deployed an ML model and built a pipeline to automate your model training and deployment workflow using the tools that come with OpenShift Data Science. You have also successfully built a backend application that hosts your model and exposes it as an HTTP endpoint.
You have seen how OpenShift not only provides a full ML life cycle but also hosts your application and supports technologies such as Redis. All the components that have been deployed will benefit from the scalability of the platform.
Your journey does not stop here. The models we have shown here are just an example. You can deploy open source large language models (LLMs) on the platform.
Happy learning!
