Get Started with ML Engineering

In this section, we will cover the fundamental tools and techniques for ML engineering, including the Command Line Interface (CLI), Git version control, Docker containerization, and organizing code and repositories.

These are essential skills for building and deploying ML models, as well as collaborating with other team members on ML projects. We will cover the basics of each of these tools, including installation, setup, and usage, and provide hands-on examples to help you get started.

Success

By the end of this section, you will have a strong foundation in the essential tools and techniques for ML engineering, and be ready to move on to more advanced topics.