AI Foundations Training

Course

Practical Prompt Engineering – Reliable Workflows for Human Users

Course focus:
AI Foundations

Course overview

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

Build prompts with a clear instruction, context, input, output format, and review standard.
Decide when a prompt needs examples, constraints, or a step-by-step workflow.
Understand how randomness and output length controls can change AI behavior.
Rewrite vague prompts into task briefs that a human can check.
Test AI output for missing assumptions, unsupported claims, and unsafe overconfidence.

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: 3 hours
Difficulty: Intermediate practitioner
Freshness: Created September 7, 2026 from original daBongo analysis of current website-format AI course references dated 2021 or newer. Verify current model controls, interface labels, and plan limits before public marketing.

Prerequisites

Basic comfort using any AI assistant and willingness to revise a prompt more than once.

Tools / Plan Requirements

Any current AI assistant; a text editor; one real but non-sensitive work scenario; one source document or sample paragraph.

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