AI Foundations Training

Course

AI Model Selection, Tasks, and Responsible Use Cases

Course focus:
AI Foundations

Course overview

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

Decide whether an AI task is suited to generation, classification, extraction, retrieval, or automation.
Identify when a simple prompt is enough and when a workflow needs stronger structure.
Review data readiness before starting an AI project.
Compare tool choice against risk, cost, and maintainability.
Write a short AI use-case decision memo.

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 tool capabilities, prices, and risk controls before public marketing.

Prerequisites

Basic AI Foundations or equivalent understanding of AI inputs, outputs, and review.

Tools / Plan Requirements

A text editor; three non-sensitive work scenarios; optional AI assistant for checklist drafting.

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