In this course, you will understand Artifical Intelligence(AI)/Machine Learning (ML), JupyterHub and Git interactions.

You will learn the usage of:
• Jupyter Notebooks
• Conda Environment
• Workflows for updating Plugins in Packages
• Git Interactions

Prerequisites:
Experience in working with Python programming, Machine Learning and Data Science packages and tools

Target Audience:
Programmers, Data Scientists

Assessment:
Upon completing this course, you will have the opportunity to assess your knowledge and skills through a comprehensive assessment.
Please note, that this is a multiple-choice question assessment with two attempts to pass within a stipulated timeline.