Course content
What AI Is and What It Is Not
2Data as the Fuel: Examples, Labels, and Quality
3Models as Pattern Finders: Simple Mental Models and Analogies
4Training vs. Inference: Learning Compared to Using What Was Learned
5Supervised Learning: Learning from Labeled Examples
6Unsupervised Learning: Discovering Groups and Structure Without Labels
7Core Use Cases: Prediction, Classification, Clustering, and Recommendation
8Generative AI Basics: Creating Text, Images, and Audio from Patterns
9How to Evaluate AI Demos and Claims Without Coding
10Limits, Risks, and Responsible Use: Bias, Privacy, and Reliability
11Essential AI Glossary: Key Terms You Will Hear Often
Course Description
AI Fundamentals for Absolute Beginners: Concepts, Use Cases, and Key Terms is a practical ebook course designed to help you understand artificial intelligence in plain English. If you are new to Information Technology and curious about how AI works in everyday products, this introduction to Artificial Intelligence gives you the clarity to follow modern discussions, make smarter decisions, and communicate confidently with technical teams.
You will learn what AI is and what it is not, using simple mental models and analogies that make models feel less mysterious and more like pattern finders. You will see why data is the fuel behind machine learning, how examples and labels shape outcomes, and why data quality matters for accuracy and reliability. The course explains training versus inference so you can distinguish learning from using what was learned, then builds understanding progressively through supervised learning and unsupervised learning, connecting ideas to real situations instead of abstract math.
As you read, you will connect core AI use cases such as prediction, classification, clustering, and recommendation to familiar scenarios in business, education, healthcare, marketing, and customer support. You will also get a grounded introduction to generative AI, including how systems can create text, images, and audio from patterns, and what that means for content creation and productivity. Just as importantly, you will learn how to evaluate AI demos and claims without coding, so you can ask the right questions, spot limitations, and avoid hype.
The course closes with responsible use essentials, covering limits, risks, and practical safeguards around bias, privacy, and reliability, along with an essential AI glossary of key terms you will hear often. Start this free ebook course today and build a strong foundation in Artificial Intelligence that you can apply immediately.
This free course includes:
Audiobook with 00m
11 content pages
Digital certificate of course completion (Free)
Exercises to train your knowledge



















