This video series covers more advanced Domino features, like environment variables, Git integration, Model publishing, App publishing, Launchers, scheduled Jobs, and the Domino CLI. The series follows a practical example of a data science project through each of these feature areas.

If you want to follow along, all of the code used in building the practical example is available for download in this public GitHub repository.

Before beginning this series, you should already know the basics of working in Domino, as covered in the Domino Fundamentals series.

- Introduction to Domino 201
- GitHub Integration
- Environment Variables
- Feature Engineering
- Model Training and Diagnostic Statistics
- Model APIs
- Web Applications
- Launchers and Scheduled Jobs
- Domino CLI

**1. Introduction to Domino 201**

**2. GitHub Integration**

**3. Environment Variables**

**4. Feature Engineering**

**For the solution to the exercise presented in the video above, see the video below:**

**5. Model Training and Diagnostic Statistics**

**For the solution to the exercise presented in the video above, see the video below:**

**6. Model APIs**

**For the solutions to the exercises presented in the video above, see the videos below:**

**7. Web Applications**

**For the solutions to the exercises presented in the video above, see the videos below:**

**8. Launchers and Scheduled Jobs**