Machine Learning Platform Engineering

Author(s): Tan Wei Hao, Shanoop Padmanabhan, and Varun Mallya

• Teaches how to build an internal development platform (IDP) for machine learning (ML) and artificial intelligence (AI) applications.

• Goes over parts of the ML workflow such as

  • setting up orchestration pipelines

  • selecting models

  • allocating resources for training

  • inference

  • serving, etc

• Introduces various tools such as

  • Kubeflow

  • MLFlow

  • BentoML

  • Evidently

  • Feast

  • LangChain

• The reader can expect to learn end-to-end machine learning operations and large language model operations, deployment, and monitoring, evaluation, and explainability.