Course
What AI Can and Cannot Do – A Practical Guide
Course focus:
Claude / Anthropic
Course Learning Outcomes
By the end of this course, students should be able to:
- Explain the specific Claude / Anthropic capability used in this course without provider hype.
- Build a practical workflow using long-context reasoning, Projects, Artifacts, cited web research, writing critique, policy analysis, and artifact iteration.
- Produce a reviewable artifact such as artifact prototype, policy memo, source-grounded brief, revision matrix, stakeholder-ready strategy note.
- Diagnose common failure modes and revise the workflow.
- Verify quality, privacy, rights, and human-approval requirements before use.
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.
Paid Learning Context
Original baseline context: Students build an accurate, practical mental model of what AI systems can do, where they struggle, and why – equipping them to make better decisions about when and how to use AI in professional contexts.
The paid version of this course treats the topic as a production workflow. Students must leave with a usable artifact, a reusable method, and evidence that the result was reviewed rather than blindly accepted.
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