Generative AI Basics

Introduction to Generative AI

3 Topics | 1 Quiz

What is Generative AI and How It Works

Common Applications of Generative AI in Everyday Life

Overview of Generative AI Models and Technologies

Understanding Generative AI Fundamentals

Core Concepts of Artificial Intelligence

3 Topics | 1 Quiz

AI vs Machine Learning vs Deep Learning

Key Terminologies in AI and Generative Models

Data and Training in the AI Lifecycle

Core AI Concepts and Terminology

Types of Generative AI Models

3 Topics | 1 Quiz

Understanding GANs (Generative Adversarial Networks)

Introduction to Variational Autoencoders (VAEs)

Exploring Transformer Models in Generative AI

Identifying Generative AI Model Types

Setting Up Your AI Workspace

3 Topics | 1 Quiz

Essential Software and Tools for Beginners

How to Access Free Generative AI Platforms Online

Basic Hardware Requirements for AI Learning

Preparing Your Generative AI Learning Environment

Hands-On: Creating Basic AI Content

3 Topics | 1 Quiz

Generating Text with AI: Simple Prompts

Creating Simple Images Using AI Tools

Understanding AI-Generated Content Quality

Applying Basic Generative AI Content Creation

Ethical Use of Generative AI

3 Topics | 1 Quiz

Responsible AI Use in South Africa

Avoiding Bias in AI-generated Results

Legal Considerations When Using AI Content

Ethics and Regulations in Generative AI

Customizing AI Outputs

3 Topics | 1 Quiz

Refining Prompts for Better Results

Using AI Editing Tools to Modify Content

Combining AI Outputs with Human Creativity

Techniques for Tailoring AI Content

AI in the Workplace

3 Topics | 1 Quiz

Generative AI Applications in South African Workplaces

Improving Productivity with AI Tools

Basic Troubleshooting for AI Software

Using Generative AI at Work

Advancing Your AI Skills

3 Topics | 1 Quiz

Finding Further Online AI Learning Resources

Joining AI Communities and Networks in South Africa

Planning Your AI Skills Development Path

Expanding Knowledge and Skills in AI

Final Project and Course Wrap-up

3 Topics | 1 Quiz

Completing a Simple Generative AI Project

Review of Key Course Concepts

How to Obtain and Use Your Certificate

Course Review and Practical Application

Core AI Concepts and Terminology

Generative AI Basics Core Concepts of Artificial Intelligence Core AI Concepts and Terminology

Core AI Concepts and Terminology

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Question 1 of 5

1. Question
What is the broadest concept among AI, ML, and Deep Learning?
- Artificial Intelligence, making machines think and act like humans
- Machine Learning, learning from data patterns
- Deep Learning, using neural networks
- Programming computers step-by-step
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Question 2 of 5

2. Question
What defines a neural network in Deep Learning?
- Structures inspired by the human brain for processing data
- Rules for sorting data in a dataset
- A database of labelled examples for training
- A simple computer program performing tasks
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Question 3 of 5

3. Question
What does training data provide in AI development?
- Examples for AI to learn patterns and improve decisions
- Instructions for coding each AI step
- A list of tasks AI must perform
- Random data without any specific relevance
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Question 4 of 5

4. Question
Which is a common type of generative AI model?
- Models that create new text, images, or sounds
- Systems that store raw data without processing
- Programs that only label existing data
- Models that delete irrelevant training data
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Question 5 of 5

5. Question
How does AI learn from data?
- By finding patterns and improving from examples
- By following fixed, step-by-step programming
- By randomly guessing and choosing answers
- By copying data without interpretation
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