diff --git a/docs/course-data.yaml b/docs/course-data.yaml
index bd23b9f..8b486e6 100644
--- a/docs/course-data.yaml
+++ b/docs/course-data.yaml
@@ -428,6 +428,7 @@ robotics:
   course_emoji: "🦾"
   registration_link: "https://learn.utoronto.ca/programs-courses/courses/4132-autonomous-systems-self-driving-labs"
   # waitlist_link: "https://2learn.utoronto.ca/public/student/studentRequestInformation.do?method=edit&type=0&courseNumber=134035513"
+  orientation_ref: "3.0-orientation"
   description: "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."
   media_command: "<video width='100%' controls autoplay muted><source src='./../../_static/ac-website/robot-loop.mp4' type='video/mp4'>Your browser does not support the video tag.</video>"
   media_caption: "Self-driving lab robotic platforms. 1. ADA at the University of British Columbia (C. Berlinguette, J. Hein, A. Aspuru-Guzik); 2. Artificial Chemist (M. Abolhasani, NC State University); 3. Robotically reconfigurable flow chemistry platform (C. Coley, MIT); 4. Chemputer (L. Cronin, University of Glasgow); 5. Mobile robot chemist (A. Cooper, University of Liverpool). Source: [https://acceleration.utoronto.ca/maps](https://acceleration.utoronto.ca/maps)"
@@ -535,6 +536,7 @@ software-dev:
   course_emoji: "🧑‍💻"
   registration_link: "https://learn.utoronto.ca/programs-courses/courses/4133-software-development-self-driving-labs"
   # waitlist_link: "https://2learn.utoronto.ca/public/student/studentRequestInformation.do?method=edit&type=0&courseNumber=134035551"
+  orientation_ref: "4.0-orientation"
   short_description: ""
   description: "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."
   media_command: ""