AI Fluency Course

Introduction to AI Fluency

3 Topics | 1 Quiz

What is AI fluency and why it matters in South Africa

Overview of free AI fluency courses with certificates

Basic terminology and concepts in AI

Foundations of AI Fluency

AI Technologies and Tools

3 Topics | 1 Quiz

Key AI technologies used in beginner training

Popular AI tools accessible for free online

Understanding AI assistants and chatbots

AI Technologies and Tools Understanding

Data and AI Basics

3 Topics | 1 Quiz

Fundamentals of data in AI

How AI uses data to learn

Introduction to datasets and data types

Data Fundamentals for AI

Machine Learning Essentials

3 Topics | 1 Quiz

Understanding machine learning basics

Difference between AI and machine learning

Simple examples of machine learning in daily use

Machine Learning Basics

AI Ethics and Responsible Use

3 Topics | 1 Quiz

Principles of ethical AI use

Privacy and data protection in AI

Responsible AI practices in the workplace

Ethics and Responsibility in AI

Practical AI Applications

3 Topics | 1 Quiz

Using AI tools for productivity

AI in communication and customer service

Basic AI automation examples

Practical AI Usage

Building AI Fluency Skills

3 Topics | 1 Quiz

How to improve AI skills with free resources

Developing problem-solving skills using AI

Learning AI workflows and processes

Developing AI Skills

AI in the South African Workplace

3 Topics | 1 Quiz

Impact of AI fluency on career opportunities

Examples of AI use in South African industries

How to demonstrate AI skills to employers

AI Fluency in Work Contexts

Getting Certified in AI Fluency

3 Topics | 1 Quiz

How free AI certificates work

Steps to completing a free AI fluency course

Understanding course assessments and quizzes

Certification Process for AI Fluency

Next Steps After AI Fluency

3 Topics | 1 Quiz

Advancing to intermediate AI learning

Exploring AI specialisations and careers

Continuing AI education and practice

Planning Your AI Learning Journey

Machine Learning Basics

AI Fluency Course Machine Learning Essentials Machine Learning Basics

Machine Learning Basics

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Question 1 of 5

1. Question
What is machine learning?
- Computers learn patterns from data without explicit programming
- Computers follow step-by-step fixed rules
- Computers store data without analysis
- Computers execute coded instructions only
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Question 2 of 5

2. Question
How does machine learning relate to AI?
- Machine learning is a part of AI focused on learning from data
- AI is a smaller part of machine learning
- AI uses only fixed programming, no learning
- Machine learning and AI are completely separate fields
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Question 3 of 5

3. Question
Which is a type of machine learning?
- Training a model to improve from data examples
- Writing exact code for each task
- Using a fixed algorithm without updates
- Manually programming every decision step
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Question 4 of 5

4. Question
What is an example of machine learning in daily life?
- Voice assistants understanding speech and accents
- Using a calculator for exact maths
- Manually selecting photos to view
- Typing commands into a computer terminal
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Question 5 of 5

5. Question
Why are algorithms important in machine learning?
- They let computers find data patterns and improve tasks
- They store data without changes over time
- They instruct fixed and unchanging steps only
- They erase data after each use automatically
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