daBongo LMS AI Training Courses

Lesson Content

Outcome learning starts with the work a student wants to complete: write better, research faster, create images, build videos, automate a workflow, learn a tool, or produce a business asset. Provider choice comes after the outcome is clear.

Professional Use Case: A learner chooses between assistant platforms and creator tools based on the artifact they need.

Student task: Perform the following use scenario. Copy the first AI answer into a text editor or notes document. Then write one clarification prompt, which is a short follow-up that tells the AI exactly what to fix, add, remove, or explain.

Starter scenario: List one learning goal, one work product, one risk, and one preferred AI tool.

Troubleshooting: If the command is unavailable, check whether it depends on a workspace, paid plan, enabled tool, file type, browser/app context, or region. If the output is shallow, add source material, examples, exclusion rules, and a definition of done. If the output contains claims, verify against an authoritative source before using it.

Quality Rubric:

• The command includes enough context to prevent generic output.
• The result is tied to a real deliverable.
• The student records at least one verification step.
• Sensitive data is removed or minimized.