# 📚 Course Content

<!-- All modules, all on one page via nbgallery? -->

```{warning}
If you've already completed the [Certificate Overview](certificate-framework.md), you're ready to dive into the course content! If not, we recommend you start there.
```

## 🚀 Getting Started

<!-- As [mentioned in the overview](/courses/hello-world/overview.md), each course is comprised of modules, where each module typically has three components:


|  | Component | Points |
|---|-------------------|--------|
| 1. | 🧭 Guided tutorial | 0 |
| 2. | 📓 Notebook assignment | 5 |
| 3. | 🛠️ Mini project | 10 | -->

These courses are integrated with coding exercises via GitHub Classroom, so you will need [a GitHub account](https://github.com/join) (naming convention: John H. Smith → `jhsmith` or Jane M. Doe → `jane-doe`).

**👉 First Step**: Complete the [🔗 GitHub starter tutorial](https://github.com/AC-Classroom/github-starter-course) to familarize yourself with the assignment structure and keep everyone on the same page.

**👉 Second Step**: Complete the [🔗 Intro to GitHub Classroom tutorial](https://github.com/AC-Classroom/intro-github-classroom) to familarize yourself with the assignment structure and keep everyone on the same page.

<!-- If you've reached this point, and you're wondering what a self-driving lab is in the first place, watch [▶️ "The Future of Chemistry is Self-driving"](). *TODO: Video needs to be edited and uploaded to YouTube. Add this as an embedded iframe perhaps* -->

## 💡 Building a "Hello World" for self-driving labs

<!-- ```{note}
**This tutorial requires physical hardware and a 2.4 GHz WPA-2 wireless network**. If you do not have the hardware, see the ⭐ DigiKey Order link at the bottom-left of the [hackaday page](https://hackaday.io/project/186289-autonomous-research-laboratories). If you do not have the required wireless network, you can use a mobile hotspot (see [recommendations](https://github.com/sparks-baird/self-driving-lab-demo/discussions/83)).
``` -->

<!-- ```{note}
🔑 The "Hello World" course is a **recommended prerequisite** for all other courses in the certificate, and a mandatory prerequisite for the in-person capstone project.
``` -->

```{include} ./courses/hello-world/hardware-note.md
```

```{include} courses/hello-world/description.md
```

```{nbgallery}
courses/hello-world/1.1-running-the-demo.ipynb
courses/hello-world/1.2-blink-and-read.ipynb
courses/hello-world/1.3-bayesian-optimization.ipynb
courses/hello-world/1.4-hardware-software-communication.ipynb
courses/hello-world/1.5-data-logging.ipynb
courses/hello-world/1.6-connecting-the-pieces.ipynb
```

<!-- courses/hello-world/1.7-convert-to-a-lab-sensor-system.ipynb -->

## 📈 Data Science for Self-Driving Labs

```{include} courses/data-science/description.md
```

```{nbgallery}
courses/data-science/2.1-gentle-intro-bayesian.ipynb
courses/data-science/2.2-multi-objective-opt.ipynb
courses/data-science/2.3-constrained-opt.ipynb
courses/data-science/2.4-high-dimensional-opt.ipynb
courses/data-science/2.5-multi-fidelity-opt.ipynb
courses/data-science/2.6-predefined-candidates.ipynb
courses/data-science/2.7-benchmarks.ipynb
```

## 🦾 Robotics for Self-Driving Labs

```{include} courses/robotics/description.md
```

```{nbgallery}
courses/robotics/3.1-pumps-and-pipettes.ipynb
courses/robotics/3.2-liquid-handlers.ipynb
courses/robotics/3.3-mobile-robotics.ipynb
courses/robotics/3.4-computer-vision.ipynb
courses/robotics/3.5-solid-sample-transfer.ipynb
```

## 🧑‍💻 Software Development for Self-Driving Labs

```{include} courses/software-dev/description.md
```

```{nbgallery}
courses/software-dev/4.1-vscode-setup.ipynb
courses/software-dev/4.2-vscode-debugging.ipynb
courses/software-dev/4.3-unit-testing.ipynb
courses/software-dev/4.4-automated-docs.ipynb
courses/software-dev/4.5-continuous-integration.ipynb
courses/software-dev/4.6-project-templates.ipynb
courses/software-dev/4.7-cloud-servers.ipynb
courses/software-dev/4.8-cloud-computing.ipynb
```

## 🏢 Capstone Project at the AC Training Lab

```{note}
🔑 Due to the intensive nature of this in-person course and to maximize value to the participants, completion of the previous four courses are mandatory.
```

```{include} courses/capstone/description.md
```

```{nbgallery}
courses/capstone/5.1-project-proposal.ipynb
courses/capstone/5.2-design-and-execution.ipynb
courses/capstone/5.3-dissemination.ipynb
```