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

Identifying Generative AI Model Types

Generative AI Basics Types of Generative AI Models Identifying Generative AI Model Types

Identifying Generative AI Model Types

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Question 1 of 5

1. Question
What is the main function of the Generator in a GAN?
- To create new data resembling the real dataset
- To classify input data into categories
- To compress data into a smaller form
- To evaluate data quality accuracy
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Question 2 of 5

2. Question
How do VAEs differ from GANs in generating new data?
- VAEs sample from a smooth, continuous latent space
- VAEs use two networks competing against each other
- VAEs do not compress data before generation
- VAEs only generate text, not images or sounds
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Question 3 of 5

3. Question
What role do transformers play in generative AI?
- They process data using attention to generate human-like text
- They compress data into simpler forms for easy storage
- They compete with each other to improve output quality
- They only classify and analyze existing data
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Question 4 of 5

4. Question
What is an advantage of using GANs over other generative models?
- GANs produce realistic and high-quality outputs by competition
- GANs compress input data to create new samples
- GANs generate data by sampling from a latent space
- GANs focus mainly on encoding and decoding data
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Question 5 of 5

5. Question
How do generative models like VAEs create new examples?
- By sampling points from a compressed latent space
- By competing two neural networks to fool each other
- By looking at all parts of data to find connections
- By classifying data as either real or fake during training
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