daBongo LMS AI Training Courses

← Back to Course Dashboard

Course

Understanding Claude AI – What It Is and How It Thinks

Course focus: Claude / Anthropic

Course overview

Course Learning Outcomes

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

  • Describe what a large language model is in practical, non-technical terms
  • Explain why Claude sometimes produces confident but incorrect answers
  • Identify the difference between Claude's reasoning and factual recall
  • Describe Claude's knowledge cutoff and what it means for real-world use
  • Set up a working mental model that shapes safer, more effective prompting habits
  • Check Claude 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 Claude is, how it processes language, what its limitations are, and how to build a realistic mental model before they begin prompting.

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 Claude 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.

Course Details

Duration
90 minutes
Training Level
Beginner
Updated
October 2026
Prerequisites

Basic familiarity with Claude / Anthropic and completion of earlier courses in this path when available.

Tools / Plan Requirements

Claude / Anthropic account; provider features relevant to long-context reasoning, Projects, Artifacts, cited web research, writing critique, policy analysis, and artifact iteration; workspace files or project materials; review checklist; current provider documentation.

Create an account or sign in to continue.

Log In / Create Account

AI Course Disclaimer

← Back to Course Dashboard