This presentation breaks down Artificial Intelligence (AI) into super simple pieces. Learn what AI is, how it works, and why it's all around us. Get ready to be surprised by the cool things AI can do! Our 6 Months Professional Certificate Programs in Full Stack Web Development, Product Management with UX, and Cybersecurity are designed from the ground up exclusively for career switchers looking to transition from a non-ICT background to an ICT role.

1. Private & Confidential
A (very) Basic Guide to AI (Artificial
Intelligence)
Understanding the
Fundamentals

2. Private & Confidential
Overview
● Introduction to AI
● Evolution of AI
● Types of AI
● Machine Learning
● Deep Learning
● Applications of AI
● Ethical Considerations
● Future of AI
● MAGES Institute’s TIPP courses
2

3. Private & Confidential
Introduction to AI
3
Definition of AI
Artificial Intelligence (AI) refers to the
simulation of human intelligence in machines.
● Purpose of AI
○ "AI aims to perform tasks that
typically require human
intelligence, such as visual
perception, speech recognition,
decision-making, and language
translation."
Example: Virtual assistants like Siri and Alexa
utilize AI to understand and respond to user
commands.

4. Private & Confidential
Evolution of AI
4
● Historical Overview
○ "AI research began in the 1950s,
with early focus on symbolic
reasoning and problem-solving."
● Modern AI
○ "Recent advancements in data
availability and computational
power have led to the rise of
machine learning and deep
learning."
Example: IBM's Deep Blue defeating chess
champion Garry Kasparov in 1997 marked a
significant milestone in AI's evolution.
Source: Statista

5. Market Size Gen AI - Singapore
5
Source: https://www.statista.com/outlook/tmo/artificial-
intelligence/singapore#market-size
● The market size in the Artificial
Intelligence market is projected to
reach US$3.88bn in 2024.
● The market size is expected to show
an annual growth rate (CAGR 2024-
2030) of 17.84%, resulting in a
market volume of US$10.39bn by
2030.
● In global comparison, the largest
market size will be in the United
States (US$106.50bn in 2024).
Private & Confidential

6. Private & Confidential
Types of AI
● Narrow AI
○ "Also known as Weak AI."
○ "Designed to perform specific tasks, such as virtual assistants, recommendation
systems, and image recognition."
● General AI
○ "Also known as Strong AI."
○ "Hypothetical AI with human-like cognitive abilities, capable of understanding,
learning, and reasoning across various domains."
Example: Narrow AI includes self-driving cars, while General AI remains a theoretical concept
depicted in science fiction.
6

7. Private & Confidential
Machine Learning
7
A subset of AI that enables machines to learn from
data without being explicitly programmed.
● Types of Machine Learning
○ Supervised Learning: Training a model
with labeled data.
○ Unsupervised Learning: Discovering
patterns in unlabeled data.
○ Reinforcement Learning: Learning
through trial and error.
Example: Email spam filters use supervised learning
to classify emails as spam or not spam based on
past examples.

8. Private & Confidential
Deep Learning
8
A subset of machine learning that utilizes artificial
neural networks to model and understand complex
patterns in data.
● Applications
○ Image Recognition: Identifying objects in
images or videos.
○ Natural Language Processing:
Understanding and generating human
language.
○ Speech Recognition: Converting spoken
language into text.
Example: Deep learning powers facial recognition
technology used in smartphones and security
systems.

9. Private & Confidential
Applications of AI
9
● Healthcare
○ Disease Diagnosis: AI can analyze medical images for early detection of diseases like
cancer.
○ Drug Discovery: AI accelerates drug development by predicting molecular interactions.
● Finance
○ Fraud Detection: AI algorithms detect suspicious patterns in financial transactions.
○ Algorithmic Trading: AI predicts market trends and executes trades autonomously.
● Transportation
○ Autonomous Vehicles: AI enables self-driving cars to navigate roads safely.
○ Traffic Management: AI optimizes traffic flow and reduces congestion in urban areas.
Example: Tesla's Autopilot feature demonstrates the potential of AI in enabling semi-autonomous
driving.

10. Private & Confidential
Ethical Considerations
10
● Bias in AI
○ "AI algorithms can inherit biases from the data they are trained on, leading to unfair or
discriminatory outcomes."
● Privacy Concerns
○ "AI systems often rely on vast amounts of personal data, raising questions about data privacy
and security."
Example: Facial recognition technology has faced criticism for its potential to perpetuate racial biases in
law enforcement.

11. Private & Confidential
Future of AI
11
● Advancements
○ "Continued improvements in AI algorithms,
hardware, and data availability."
● Challenges
○ "Ethical and regulatory concerns."
○ "Ensuring transparency and accountability in
AI systems."
Example: Research in quantum computing holds promise
for enhancing AI capabilities beyond current limitations.

12. Private & Confidential
#GetIntoTech
12
Our 6 Months Professional Certificate Programs in Full
Stack Web Development, Product Management with UX,
and Cybersecurity are designed from the ground up
exclusively for career switchers looking to transition from a
non-ICT background to an ICT role.
Keep watching this space for more details
https://mages.edu.sg/
Thank You for taking the First Step.

13. Private & Confidential
THE FUTURE IS HERE