AI For Everyone: A non-technical introduction to AI

This course provides a comprehensive, non-technical introduction to the world of Artificial Intelligence (AI). It is designed for individuals from all professional backgrounds, offering an accessible understanding of AI’s impact on everyday life, business, and society. Students will explore the fundamentals of AI, its applications, and its potential for shaping the future. By the end of this course, students will be able to make informed decisions about AI-related technologies and understand the ethical implications of AI in various industries.

Course KeyLearnings

Understand what Artificial Intelligence is and its key components (e.g., Machine Learning, Deep
Learning, Natural Language Processing).
Learn about the different types of AI and real-world applications across industries.
Explore the societal, ethical, and business implications of AI.
Gain insight into AI’s role in decision-making, automation, and innovation.
Develop critical thinking around the future impact of AI on jobs, security, and society.

Course Content:

Module 1: Introduction to AI

What is AI?

Definition and History
Key Concepts: Machine Learning, Deep Learning, and Natural Language Processing (NLP)

Types of AI:

Narrow AI vs. General AI
Weak AI vs. Strong AI

AI in Daily Life:

Virtual Assistants (e.g., Alexa, Siri)
AI in Healthcare, Education, Finance, and Entertainment

Module 2: The Building Blocks of AI

Understanding Data:

Role of Data in AI
How AI Learns from Data (Supervised vs. Unsupervised Learning)

Introduction to Algorithms:

What Are Algorithms and Why Are They Important?
Examples of AI Algorithms in Use Today

Machine Learning and Deep Learning Basics:

Overview of How Machines “Learn”
Applications of Deep Learning (e.g., Computer Vision, Speech Recognition)

Module 3: AI Applications Across Industries

AI in Business:

AI for Predictive Analytics
AI in Marketing, Customer Service, and Operations

AI in Healthcare:

Diagnostic AI and Personalized Medicine
AI in Drug Discovery and Medical Imaging

AI in Autonomous Systems:
Self-driving Cars and Robotics

AI in Finance:
Fraud Detection and Algorithmic Trading

Module 4: The Ethics and Future of AI (4 Hours)

Ethical Considerations in AI:

Bias in AI Algorithms
Privacy and Data Security Concerns
The Impact of AI on Society and Jobs

AI and the Future Workforce:

How AI Will Reshape Various Jobs
Preparing for a Future with AI

The Future of AI:

AI in Smart Cities, Education, and Environmental Solutions
Cutting-edge Research and Future Trends in AI

Module 5: AI in Decision Making and Problem Solving

How AI Assists in Decision Making:

AI in Business Analytics and Strategy
AI-driven Solutions to Real-world Problems

AI in Creativity and Innovation:

AI in Art, Music, and Design
AI and Human Collaboration

Career Path After Completion:

After completing this course, students will have a foundational understanding of AI that can lead to various career opportunities in both technical and non-technical roles, including:

AI Strategist or Consultant:

AI Product Manager:

AI Analyst:

AI Research Assistant:

Digital Transformation Specialist:

International Student Fees: USD: 200$

Job Interview Preparation (Soft Skills Questions & Answers)

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