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Foundation of Artificial Intelligence

Basic1h 9minLast updated 01/2026
Transform from AI novice to informed practitioner by building a solid conceptual foundation. You'll learn to speak AI's language fluently (understanding terms like tokens, context windows, embeddings, and multimodal models), comprehend the 'why' behind AI behavior (how training creates pattern recognition and why models think probabilistically rather than logically), and develop critical evaluation skills to distinguish between AI's genuine strengths and its limitations.
Content (7)
Artificial Intelligence: The Basics
In this chapter you will understand the foundational concepts, terminology, and real-world applications of AI.
step image What is Artificial Intelligence
Video
What is Artificial Intelligence
10minBasic
Artificial Intelligence (AI) is the field of computer science focused on creating systems and programs capable of performing tasks that would normally require human intelligence such as perceiving, understanding, reasoning, and learning from data.
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AI Terms and Definition
15minBasic
A reference list that defines key artificial intelligence terms and concepts in clear, simple language to help learners understand technical vocabulary used throughout educational materials.
What is Generative AI
Let's do a focus on Generative AI: understand what it is, what it can create, the technologies behind it, and its ethical implications.
step image Focus on: Generative AI
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Focus on: Generative AI
3minBasic
Generative AI creates new content—text, images, code, audio—by learning patterns from existing data and generating original, human-like outputs on demand.
The AI Dichotomy: Training and Inference
Two fundamental concepts that are essential to understanding how AI models work are training and inference. This dichotomy will help us comprehend not only how these models function, but also what we can realistically expect from them.
step image Training: How AI Models Learn
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Training: How AI Models Learn
3minBasic
Understand how AI models learn from data, what "learning" means for machines, the key steps in the training process, and how models improve over time.
step image Inference: How AI Models Think
Video
Inference: How AI Models Think
5minBasic
Understand how trained AI models process information, recognize patterns, produce answers and why this "thinking" is different from human reasoning.
AI Capabilities & Limitations
Understanding what modern AI excels at, how it differs from human intelligence, and practical strategies for addressing current challenges.
step image AI Capabilities and Limitations
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AI Capabilities and Limitations
3minBasic
AI is a powerful tool that works differently than human intelligence but has some limitations. Understanding these differences and how to address challenges enables effective human-AI collaboration.
Test Yourself
Explain AI and Generative AI basics to an intern on a voice call.
Ai Fundamentals
Introduction
Skill objectives
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