Add Hello nf-core training course

docs/hello_nextflow/next_steps.md

@@ -10,35 +10,48 @@
 
 Congrats again on completing the Hello Nextflow training course and thank you for completing our survey!
 
-**Here are our top 3 recommendations for what you can do next to take your Nextflow skills to the next level.**
+---
 
-## 1. See how what you just learned applies to a scientific analysis use case
+## 1. Top 3 ways to level up your Nextflow skills
+
+Here are our top three recommendations for what to do next based on the course you just completed.
+
+### 1.1. Apply Nextflow to a scientific analysis use case
 
 **Check out the [Nextflow for Science](../nf4_science/index.md) page** for a list of short standalone courses that demonstrate how to apply the basic concepts and mechanisms presented in Hello Nextflow to common scientific analysis use cases.
 
 If you don't see your domain represented by a relatable use case, let us know in the [Community forum](https://community.seqera.io/) so we can add it to our development list.
 
-## 2. Delve into the details
+### 1.2. Get started with nf-core
+
+**[nf-core](https://nf-co.re/)** is a worldwide collaborative effort to develop standardized open-source pipelines for a wide range of scientific research applications.\*\*
+The project includes [over 100 pipelines](https://nf-co.re/pipelines/) that are available for use out of the box and [well over 1400 process modules](https://nf-co.re/modules/) that can be integrated into your own projects, as well as a rich set of developer tools.
+
+The **[Hello nf-core](../../hello_nf-core/index.md)** training course will introduce you to the nf-core community-curated pipelines and development framework, designed to help you write reproducible, scalable, and standardized workflows. You’ll learn how to use existing nf-core pipelines, contribute to their development, and even start building your own, supported by best practices and a vibrant community. If you’re ready to apply your Nextflow skills in real-world projects, this is the perfect next step.
+
+### 1.3. Master more advanced Nextflow features
 
 In the Hello Nextflow course, we keep the level of technical complexity low on purpose to avoid overloading you with information you don't need in order to get started with Nextflow.
 As you move forward with your work, you're going to want to learn how to use the full feature set and power of Nextflow.
 
-To that end, we are currently working on a collection of Side Quests, which are meant to be short standalone courses that go deep into specific topics like testing, metadata handling, using conditional statements and the differences between working on HPC _vs._ cloud.
+To that end, we are currently working on a **collection of [Side Quests](../side_quests/index.md)**, which are meant to be short standalone courses that go deep into specific topics like testing, metadata handling, using conditional statements and the differences between working on HPC _vs._ cloud.
 
-In the meantime, feel free to **browse the [Fundamentals Training](../basic_training/index.md) and [Advanced Training](../advanced/index.md)** to find training exercises about the topics that interest you.
+For any topics that's not covered there yet, **browse the [Fundamentals Training](../basic_training/index.md) and [Advanced Training](../advanced/index.md)** to find training materials about the topics that interest you.
 
-## 3. Learn how to use nf-core resources and the Seqera Platform
+---
 
-**The [nf-core project](https://nf-co.re/) is a worldwide collaborative effort to develop standardized open-source pipelines for a wide range of scientific research applications.**
-It includes [over 100 pipelines](https://nf-co.re/pipelines/) that are available for use out of the box and [well over 1400 process modules](https://nf-co.re/modules/) that can be integrated into your own projects, as well as a rich set of developer tools.
+## 2. Check out Seqera Platform
 
 **[Seqera Platform](https://seqera.io/) is the best way to run Nextflow in practice.**
-It is a cloud-based platform that you can connect to your own compute infrastructure to make it much easier to launch and manage your workflows.
+
+It is a cloud-based platform developed by the creators of Nextflow that you can connect to your own compute infrastructure (whether local, HPC or cloud) to make it much easier to launch and manage your workflows, as well as manage your data and run analyses interactively in a cloud environment.
+
 The Free Tier is available for free use by everyone (with usage quotas).
 Qualifying academics can get free Pro-level access (no usage limitations) through the [Academic Program](https://seqera.typeform.com/to/SRB8Ci3n).
 
-We are currently developing a short training course demonstrating how to use both of these resources (either independently or in combination).
-In the meantime, check out the [nf-core docs](https://nf-co.re/docs/) and the [Seqera Platform tutorials](https://docs.seqera.io/platform/latest/getting-started/quickstart-demo/comm-showcase)
+Have a look at the [Seqera Platform tutorials](https://docs.seqera.io/platform/latest/getting-started/quickstart-demo/comm-showcase) to see if this might be useful to you.
+
+---
 
 ### That's it for now!
 

docs/hello_nf-core/00_orientation.md

@@ -0,0 +1,73 @@
+# Orientation
+
+## GitHub Codespaces
+
+The GitHub Codespaces environment contains all the software, code and data necessary to work through this training course, so you don't need to install anything yourself.
+However, you do need a (free) GitHub account to log in, and you should take a few minutes to familiarize yourself with the interface.
+
+If you have not yet done so, please go through the [Environment Setup](../../envsetup/) mini-course before going any further.
+
+!!! warning
+
+    This training is designed for nf-core tools version 3.2.1, which should be the version installed in the codespace. If you use a different version of nf-core tooling you may have difficulty following along.
+
+    You can check what version is installed using the command`nf-core --version`.
+
+## Working directory
+
+Throughout this training course, we'll be working in the `hello-nf-core/` directory.
+
+Change directory now by running this command in the terminal:
+
+```bash
+cd hello-nf-core/
+```
+
+!!! tip
+
+    If for whatever reason you move out of this directory, you can always use the full path to return to it, assuming you're running this within the Github Codespaces training environment:
+
+    ```bash
+    cd /workspaces/training/hello-nf-core
+    ```
+
+Now let's have a look at the contents of this directory.
+
+## Materials provided
+
+You can explore the contents of this directory by using the file explorer on the left-hand side of the training workspace.
+Alternatively, you can use the `tree` command.
+
+Throughout the course, we use the output of `tree` to represent directory structure and contents in a readable form, sometimes with minor modifications for clarity.
+
+Here we generate a table of contents to the second level down:
+
+```bash
+tree . -L 2
+```
+
+If you run this inside `hello-nf-core`, you should see the following output:
+
+```console title="Directory contents"
+.
+├── greetings.csv
+├── original-hello
+│   ├── hello.nf
+│   ├── modules
+│   └── nextflow.config
+└── solutions
+    └── composable-hello
+
+4 directories, 3 files
+```
+
+**Here's a summary of what you should know to get started:**
+
+- **The `greetings.csv` file** is a CSV containing some minimal columnar data we use for testing purposes.
+
+- **The `original-hello` directory** contains a copy of the source code produced by working through the complete Hello Nextflow training series (with Docker enabled).
+
+- **The `solutions` directory** contains the completed workflow scripts that result from each step of the course.
+  They are intended to be used as a reference to check your work and troubleshoot any issues.
+
+**Now, to begin the course, click on the arrow in the bottom right corner of this page.**