Course
Understanding How Meta AI Works
Course focus:
Meta AI
Course Learning Outcomes
By the end of this course, students should be able to:
- Explain how Llama-based AI generates responses
- Understand what the context window means for their conversations
- Accurately describe what Meta AI can and cannot reliably do
- Apply appropriate calibration signals to Meta AI output
- Check Meta AI output for accuracy, privacy, and rights before you use or share it
After enrolling, students can complete lesson quizzes as they move through the course.
The course final assessment unlocks after all required lessons and lesson quizzes are complete.
Learning Context
Students learn what powers Meta AI (Llama), how AI language models generate responses, what the context window means for platform-embedded conversations, and what Meta AI can and cannot reliably do.
How this course works: each lesson explains the skill in plain language, shows a worked example, and ends with a student task you complete in Meta AI and a short quiz. The final assessment checks that you can apply the skill, not just remember it, and your saved prompts and results become reviewable training evidence.
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