Module 2: How Generative AI Works
Understanding the Technology
This module demystifies the technology behind generative AI. You don't need to be a computer scientist to understand these concepts—we'll explain everything in accessible terms with helpful analogies.
What You'll Learn
In this module, you will:
- Understand neural networks - The building blocks of modern AI
- Learn about transformers - The architecture powering today's AI
- Explore the training process - How AI models learn from data
Module Structure
| Chapter | Topic | Duration |
|---|---|---|
| Chapter 1 | Neural Networks Basics | 25 min |
| Chapter 2 | Transformers Architecture | 30 min |
| Chapter 3 | Training and Learning | 25 min |
| Quiz | Module 2 Quiz | 30 min |
Key Concepts Preview
Neural Networks
Computing systems inspired by the human brain, consisting of interconnected nodes (neurons) that process information.
Transformers
A revolutionary architecture that uses "attention" to understand relationships between all parts of the input simultaneously.
Training
The process of feeding large amounts of data to the model so it can learn patterns and relationships.
Fine-tuning
Adapting a pre-trained model for specific tasks or domains.
RLHF (Reinforcement Learning from Human Feedback)
A technique to align AI behavior with human preferences.
Why Understanding This Matters
Knowing how AI works helps you:
- Use AI tools more effectively by understanding their capabilities and limitations
- Make better decisions about when and how to deploy AI
- Communicate clearly with technical teams and stakeholders
- Anticipate issues before they become problems
- Stay informed as the technology evolves
Let's Get Started!
Begin with Chapter 1: Neural Networks Basics to understand the foundation of modern AI.
Estimated time to complete this module: 1.5 hours