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
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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
Recommended experience
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
Skills you'll gain
- Algorithms
- Model Training
- Business Transformation
- Artificial Intelligence
- Generative AI
- Business Strategy
- Innovation
- Data-Driven Decision-Making
- Data Quality
- Artificial Intelligence and Machine Learning (AI/ML)
- Technical Standard
- Technology Strategies
- Applied Machine Learning
- Data Literacy
- Unstructured Data
- Strategic Decision-Making
- Digital Transformation
- Machine Learning
Tools you'll learn
Details to know

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October 2026
7 assignments
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Illinois Tech

John Wiley & Sons
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