AI Foundations Training

Course

AI Systems Thinking – Algorithms, Data, Compute, and Knowledge

Course focus:
AI Foundations

Course overview

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

Explain algorithms as step-by-step procedures for turning input into action.
Describe why data quality, quantity, and fit affect AI behavior.
Explain compute as the resource that makes larger processing possible, not as intelligence by itself.
Use knowledge, uncertainty, and feedback concepts to inspect AI workflows.

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.

Duration: 4 hours
Difficulty: Intermediate foundation
Freshness: Created September 7, 2026 as original daBongo material after reviewing generic introductory AI, computational agents, modern AI, and AI literacy PDFs. Written as provider-neutral training with original examples and no copied source passages.

Prerequisites

Completion of AI Work Basics or similar beginner AI experience.

Tools / Plan Requirements

A notebook or text editor, one familiar decision process, and sample data rows created by the student.

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