AI Foundations Training

Course

Enterprise AI Readiness – Data, Workflow, and Deployment Choices

Course focus:
AI Foundations

Course overview

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

Evaluate whether a workflow has enough clean, current, and permitted information for AI use.
Explain why some tasks need retrieval, structured data, or integration instead of a single prompt.
Compare prompt-only, configured workflow, embedded product feature, and custom implementation options.
Write an operations checklist for monitoring quality, cost, privacy, and user impact.

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
Freshness: Created September 7, 2026 as original daBongo material after reviewing generic enterprise AI, generative AI implementation, and AI operations PDFs. Written as provider-neutral training with original examples and no copied source passages.

Prerequisites

Completion of an AI literacy or prompt basics course, or equivalent workplace experience.

Tools / Plan Requirements

A spreadsheet or notes app, one sample workflow, sample documents or pretend records, and a review checklist.

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