formatting

Author: sgbaird

docs/courses/data-science/overview.md

@@ -28,7 +28,7 @@ Unleash the power of data science in the realm of self-driving laboratories. Thi
 
 
 
-The **recommended prerequisite** for this course is Introduction to AI for Discovery using Self-driving Labs
+The **recommended prerequisite** for this course is Introduction to AI for Discovery using Self-driving Labs (Course 1: Hello World)
 
 
 ## 🎯 Learning Outcomes

docs/courses/robotics/index.md

@@ -34,25 +34,36 @@ Explore
 :::
 
 :::{grid-item-card}  Registration
-Sign up to be notified when registration opens.
+Register to gain access to quizzes and assignments.
 +++
-```{button-link} https://2learn.utoronto.ca/public/student/studentRequestInformation.do?method=edit&type=0&courseNumber=134035513
+```{button-link} https://learn.utoronto.ca/programs-courses/courses/4132-autonomous-systems-self-driving-labs
 :color: info
 :expand:
 :click-parent:
-Waitlist {octicon}`link-external;1em`
+Register {octicon}`link-external;1em`
 ```
 
 :::
 
+:::{grid-item-card}  Course Content
+Begin working through modules, one-by-one.
++++
+```{button-ref} 3.0-orientation
+:color: info
+:expand:
+:click-parent:
+Begin
+```
+:::
+
 ::::
 
 
 ```{toctree}
 :hidden:
 
 🗺️ Overview <overview>
-🎓 Waitlist <https://2learn.utoronto.ca/public/student/studentRequestInformation.do?method=edit&type=0&courseNumber=134035513>
+🎓 Register <https://learn.utoronto.ca/programs-courses/courses/4132-autonomous-systems-self-driving-labs>
 
 🧩 3.0 Orientation <3.0-orientation.md>
 🧩 3.1 Pumps and Pipettes <3.1-pumps-and-pipettes.md>

docs/courses/robotics/overview.md

@@ -7,6 +7,11 @@ or modify src/ac_microcourses/overview.md.jinja. --->
 # 🦾 Robotics: Course Overview
 
 
+```{note}
+:class: margin
+[Registration is live](https://learn.utoronto.ca/programs-courses/courses/4132-autonomous-systems-self-driving-labs)! Course quizzes and grades are available at https://q.utoronto.ca/.
+```
+
 
 Embark on a journey into the world of robotics and automation for self-driving laboratories. This asynchronous, remote course equips you with the skills to control peristaltic pumps, linear actuators, automated liquid handlers, and solid dispensers using a microcontroller, a motor driver, and a workflow orchestration package. You'll also learn to control mobile cobots and perform spatial referencing and ID recognition via computer vision. The course will conclude with a solid sample transfer workflow using a multi-axis robot. Remotely accessible resources will be provided as necessary.
 
@@ -23,7 +28,7 @@ Self-driving lab robotic platforms. 1. ADA at the University of British Columbia
 
 
 
-The **recommended prerequisite** for this course is Introduction to AI for Discovery using Self-driving Labs
+The **recommended prerequisite** for this course is Introduction to AI for Discovery using Self-driving Labs (Course 1: Hello  World)
 
 
 ## 🎯 Learning Outcomes

docs/courses/software-dev/index.md

@@ -34,25 +34,36 @@ Explore
 :::
 
 :::{grid-item-card}  Registration
-Sign up to be notified when registration opens.
+Register to gain access to quizzes and assignments.
 +++
-```{button-link} https://2learn.utoronto.ca/public/student/studentRequestInformation.do?method=edit&type=0&courseNumber=134035551
+```{button-link} https://learn.utoronto.ca/programs-courses/courses/4133-software-development-self-driving-labs
 :color: info
 :expand:
 :click-parent:
-Waitlist {octicon}`link-external;1em`
+Register {octicon}`link-external;1em`
 ```
 
 :::
 
+:::{grid-item-card}  Course Content
+Begin working through modules, one-by-one.
++++
+```{button-ref} 4.0-orientation
+:color: info
+:expand:
+:click-parent:
+Begin
+```
+:::
+
 ::::
 
 
 ```{toctree}
 :hidden:
 
 🗺️ Overview <overview>
-🎓 Waitlist <https://2learn.utoronto.ca/public/student/studentRequestInformation.do?method=edit&type=0&courseNumber=134035551>
+🎓 Register <https://learn.utoronto.ca/programs-courses/courses/4133-software-development-self-driving-labs>
 
 🧩 4.0 Orientation <4.0-orientation.md>
 🧩 4.1 Deep dive into Git and GitHub <4.1-github-deep-dive.md>

docs/courses/software-dev/overview.md

@@ -7,6 +7,11 @@ or modify src/ac_microcourses/overview.md.jinja. --->
 # 🧑‍💻 Software Development: Course Overview
 
 
+```{note}
+:class: margin
+[Registration is live](https://learn.utoronto.ca/programs-courses/courses/4133-software-development-self-driving-labs)! Course quizzes and grades are available at https://q.utoronto.ca/.
+```
+
 
 Elevate your software development skills in the context of self-driving laboratories. This asynchronous, remote course introduces software development concepts and best practices and productivity tools such as integrated development environments (IDEs) with VS Code, unit testing with pytest, continuous integration via GitHub actions, and documentation creation using Sphinx and Read the Docs. You'll also learn to deploy materials discovery campaigns on cloud servers or dedicated hardware and run offline simulations using cloud hosting.
 
@@ -19,7 +24,7 @@ Elevate your software development skills in the context of self-driving laborato
 
 
 
-The **recommended prerequisite** for this course is Introduction to AI for Discovery using Self-driving Labs
+The **recommended prerequisite** for this course is Introduction to AI for Discovery using Self-driving Labs (Course 1: Hello World)
 
 
 ## 🎯 Learning Outcomes