Learn how to describe core AI concepts and terminology by classifying algorithms, models, training, and inference in business descriptions, distinguishing general AI from machine learning and generative AI, and recognizing the purpose of global standards. You will also classify data as structured or unstructured, connect data quality defects to their effects on AI performance, and judge whether historical data can support a use case.
AI Business - Core AI Concepts and Terminology
AI Business - Core AI Concepts and Terminology
This course is part of AWS AI Business Strategist Professional Certificate
Instructor: AWS Instructor
Included with Learn more
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Recognize fundamental AI concepts in business descriptions you receive from technical teams and vendors
Identify which data your organization has and how its type and quality shape what AI can do with it
Recognize references to global AI frameworks and standardized vocabulary in vendor and partner materials
Details to know
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Recently updated!
October 2026
Assessments
7 assignments
Taught in English
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This course is part of the AWS AI Business Strategist Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 2 modules in this course
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