# 19-04-2023 - General Introduction ### This week you will... * get a basic idea of what MLOps is about * get a first idea about possible projects you might want to work on throughout the course ### Learning Resources {% file src="/files/glrhapytHUvBYlgS4zXU" %} * [Paper on the definition of DevOps](https://ieeexplore.ieee.org/document/10081336) ### Until next week you should... * register for the opencampus.sh program at Coursera (you will get an invitation link from opencampus.sh to do so) and enroll for the course [Introduction to Machine Learning in Production](https://www.coursera.org/learn/introduction-to-machine-learning-in-production/) * complete week 1 and week 2 of the course [Introduction to Machine Learning in Production](https://www.coursera.org/learn/introduction-to-machine-learning-in-production/), including the provided exercises/labs. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/archive/machine-learning-operations-mlops/19-04-2023-general-introduction.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.