Update website/docs/guides/duckdb-qs.md

website/docs/guides/duckdb-qs.md

@@ -255,7 +255,15 @@ If you'd like to work with a larger selection of Jaffle Shop data, you can gener
 As you increase the number of years, it takes exponentially more time to generate the data because the Jaffle Shop stores grow in size and number. For a good balance of data size and time to build, dbt Labs suggests a maximum of 6 years.
 ## Next steps
 
-Now that you understand the basics of using dbt Core with DuckDB, consider optimizing your setup by documenting a project, committing changes and, scheduling a job. 
+Now that you've got dbt Core, DuckDB, and the Jaffle Shop data up and running, you can explore dbt's capabilities. Refer to these materials to get a better understanding of dbt projects and commands:
+
+- The [About projects](/docs/build/projects) page guides you through the structure of a dbt project and its components.
+- [dbt command reference](/reference/dbt-commands) explains the various commands available and what they do.
+- [dbt Labs courses](https://courses.getdbt.com/collections) offer a variety of beginner, intermediate, and advanced learning modules designed to help you become a dbt expert. 
+- Once you see the potential of dbt and what it can do for your organization, sign up for a free trial of [dbt Cloud](https://www.getdbt.com/signup). It's the fastest and easiest way to deploy dbt today!
+- Check out the other [quickstart guides](/quickstarts) to begin integrating into your existing data warehouse.
+
+Additionally, with your new understanding of the basics of using dbt Core with DuckDB, consider optimizing your setup by documenting a project, committing changes and, scheduling a job. 
 
 ### Document a job