diff --git a/inst/pages/training.qmd b/inst/pages/training.qmd
index 702fdfb4..4cea0b04 100644
--- a/inst/pages/training.qmd
+++ b/inst/pages/training.qmd
@@ -12,8 +12,10 @@ The page provides practical information to support training and self-study.
 Brief checklist to prepare for training (see below for links).
 
 - Install the recommended software
+
 - If the time allows, watch the short online videos and familiarize yourself
 with the other available material
+
 - Join Gitter online chat for support
 
 ## Recommended software {#sec-software}
@@ -32,21 +34,22 @@ information. RStudio is optional.
 - Install key R packages (Section [@sec-ecosystem] provides an
 installation script)
 
-- After a successful installation you can consider trying out examples
-from Section [@sec-exercises] already before training. **You can run
-the workflows by simply copy-pasting examples.** You can then test
-further examples from this tutorial, modifying and applying these
-techniques to your own data. Plain source code for the individual chapters
-of this book are available via
-[Github](https://github.com/microbiome/OMA/tree/master/R)
-
-- If you have access to CSC notebook you can find instructions from
-[here](https://microbiome.github.io/outreach/).
+Once you've successfully installed the software, consider exploring examples
+from Section [@sec-exercises] even before starting the training. Running the
+workflows is easy — just copy and paste the examples. You can then try
+additional examples from the book, adapting and applying the techniques to your
+own data. Source code for each chapter is available on
+[Github](https://github.com/microbiome/OMA).
 
 ## Study material {#sec-material}
 
 We encourage you to familiarize yourself with the material and test examples
-in advance but this is optional:
+in advance but this is optional. If you're new to this topic, the following
+resources may be particularly helpful.
+
+- [Interactive R tutorials for beginners](https://rstudio.github.io/learnr/articles/examples.html)
+
+- [Introduction to R](https://noppe.2.rahtiapp.fi/main/catalog) (available in CSC Noppe, see [@sec-vm])
 
 - [Introduction to data analysis with R and Bioconductor](https://carpentries-incubator.github.io/bioc-intro/) (for beginners with R)
 
@@ -61,3 +64,19 @@ in advance but this is optional:
 - @sec-exercises for self-study
 
 - @sec-resources and links to complementary external material
+
+## Virtual machines and learning environments {#sec-vm}
+
+In most of the training courses, we use learning environments that have
+necessary software installed. Check from course details, if this applied to the
+course that you are participating.
+
+In most training courses, we use learning environments with the required software pre-installed. Please check the course details to see if this applies to your course.
+
+- CSC Noppe (formerly Notebooks) is available for users with accounts at Finnish
+higher education institutions or state research institutes. For more
+information, visit [this page](https://microbiome.github.io/outreach/).
+
+- [Bioconductor workshops](https://workshop.bioconductor.org/) are accessible
+with a Bioconductor account, providing pre-installed Bioconductor software and
+workshops.