Generative AI Foundations and Claude Workspaces

Classify real-world systems as rule-based software, predictive machine learning, or generative AI.

Explain conceptually how a large language model generates a response using tokens, context, and probability.

Distinguish information learned during model training from information supplied in the current conversation.

Judge whether a task is suitable for generative AI based on its capabilities, limitations, and need for human oversight.

Choose appropriately among a Claude chat, Project, and Artifact for a given beginner use case.

Complete a file-based task in Claude through an iterative draft, critique, and revision cycle.