In-course labs provide learners with hands-on experiences, allowing them to apply course concepts directly, build confidence, and gain job readiness. This article provides an overview of the in-course labs feature and how to add it to your course.
If you’re participating in Udemy’s Instructor GenAI Program, learners will also have the option to use the Udemy AI Assistant feature, AI task review, to generate feedback on their task solution. See more information on the AI task review feature for learners.
- Visit our Teaching Center for frequently asked questions about in-course labs.
Table of contents
- What are in-course labs?
- How to access in-course labs
- How to create an in-course lab
- Editing or deleting an in-course lab
- Questions?
What are in-course labs?
In-course labs are a curriculum item that allows learners to practice technical skills in real environments called workspaces. In-course labs enable learners to practice skills in real workspaces without leaving your course. By engaging actively with your content, learners can improve retention and learning outcomes.
For more examples and best practices, review our Teaching Center article.
How to access in-course labs
1. Navigate to the Curriculum page of your course.
2. Hover over the grey space within a section, where you want the in-course labs to be placed. Then, click +Curriculum item and select Lecture with Lab.
3. Click on +Content and add a video to your course.
Note: In-course labs can be added to any lecture in a draft course and any unpublished lectures in an already published course.
4. After your video processing is complete, click on the +Lab button to open the Lab Editor.
How to create an in-course lab
After accessing the Lab editor, follow the instructions below.
- Review our Teaching Center article for examples and best practices on creating your in-course lab title.
1. Begin planning your lab by selecting your lab workspace from one of the available options. Some of the workspaces available include:
- AWS - Udemy AWS In Curriculum Template
- Azure
- Azure Open AI
- Datascience - Jupyterlab 4
- Data Science - PhpMyAdmin/SQL
- Datascience & Web - Python-3.13_cli
- DevOps - Linux (shell scripting)
- Web - Java21_cli
Note:
- While Udemy workspaces are available for Personal Plan and Udemy Business Pro subscribers, other learners may need to use their own personal environments.
2. If you wish, download and customize starter code for the lab. Next, select the applicable file and upload it to the lab (optional). This is what learners will see once they launch the workspace associated with the lab.
3. Add tasks to break your lab into manageable steps. Add a task title and timestamp, or the exact second in your lab video when each task begins.
- You can also attach any task resources, including datasets, images, mockups, or configuration files.
Note: For eligible labs, the task title and description will be used to inform the Udemy AI Assistant’s response for AI task reviews. We recommend adding a description to help inform the AI task review.
4. Enter the estimated duration of the lab. After finalizing your lab, you can use the Preview function or click Publish.
Editing or deleting an in-course lab
To edit an in-course lab, return to the Curriculum page and click on the lab title. Make any changes, then save or publish as needed.
To delete an in-course lab, select the trash can icon next to the lab.
Note: Deleted in-course labs can't be restored.
Questions?
Visit our Teaching Center for the following resources:
- Review frequently asked questions about in-course labs
- See best practices and examples while creating your in-course lab.