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Course

What AI Can and Cannot Do – A Practical Guide

Course focus: Claude / Anthropic

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Course Learning Outcomes

By the end of this course, students should be able to:

  • Explain how large language models work at a functional level (without jargon)
  • Describe AI's genuine capability strengths with concrete examples
  • Identify the key limitation categories and why each exists
  • Explain what hallucinations and bias are and how to recognize them
  • Apply a practical framework for deciding when to use AI and when not to

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.

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Lessons

  1. How AI Language Models Work – Without the Jargon
  2. What AI Does Well – The Capability Map
  3. Where AI Falls Short – Real Limitations
  4. Hallucinations, Bias, and Why AI Gets Things Wrong
  5. Choosing When to Use AI and When Not To

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