Foundation of Artificial Intelligence

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. 

Skill objectives

Chapter 01

Artificial Intelligence: The Basics

In this chapter you will understand the foundational concepts, terminology, and real-world applications of AI.

Video10min

What is Artificial Intelligence

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. 

File15min

AI Terms and Definition

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. 

Chapter 02

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.

Video3min

Focus on: Generative AI

Generative AI creates new content—text, images, code, audio—by learning patterns from existing data and generating original, human-like outputs on demand. 

Chapter 03

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.

Video3min

Training: How AI Models Learn

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. 

Video5min

Inference: How AI Models Think

Understand how trained AI models process information, recognize patterns, produce answers and why this "thinking" is different from human reasoning. 

Chapter 04

AI Capabilities & Limitations

Understanding what modern AI excels at, how it differs from human intelligence, and practical strategies for addressing current challenges.

Video3min

AI Capabilities and Limitations

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. 

Chapter 05

Test Yourself

Explain AI and Generative AI basics to an intern on a voice call.

Skills: Ai Fundamentals

AI Simulation30minAssessment

Explaining Artificial Intelligence to a New Intern