AI for Everyone: Understanding the Future

About Course

AI for Everyone: Understanding the Future is a beginner-friendly online course that demystifies artificial intelligence and explores its impact on society, business, and everyday life. Learn how AI works, what it can (and can’t) do, and how you can prepare for a future shaped by intelligent technologies—no technical background required.

Understand what artificial intelligence is and how it works—without needing a technical background
Identify real-world applications of AI in business, healthcare, education, and daily life
Recognize the opportunities and limitations of AI technologies
Explore the ethical, legal, and societal implications of AI systems
Learn how AI is transforming the job market and what skills are in demand
Gain confidence to participate in conversations and decisions about AI in your workplace or community
Discover how to prepare for a future shaped by AI innovation

Course Content

Module 1: Introduction to AI
What is Artificial Intelligence? Brief History and Evolution of AI Types of AI: Narrow vs. General Intelligence Common Myths and Misconceptions

Module 2: How AI Works (Without the Math)
Basics of Machine Learning and Deep Learning Data, Algorithms, and Models Real-World Examples: Image Recognition, Language Processing

Module 3: AI in Everyday Life
AI in Healthcare, Education, Finance, and Retail Smart Assistants, Recommendation Systems, and Automation Case Studies of AI Applications

Module 4: The Business of AI
How Companies Use AI for Efficiency and Innovation AI Strategy for Organizations Jobs and Skills in the AI-Driven Workplace

Module 5: Ethics, Bias, and Responsibility
Understanding AI Bias and Fairness Ethical Considerations and AI Accountability Privacy, Surveillance, and Consent

Module 6: The Future of AI
Trends in AI Development Challenges and Opportunities Ahead How to Prepare for an AI-Influenced Future

Module 7: Taking Action
Getting Involved with AI (as a non-coder) Learning Resources and Tools Final Project: AI Impact Reflection or Case Study

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AI for Everyone: Understanding the Future

About Course

What Will You Learn?

Course Content

Module 1: Introduction to AI
What is Artificial Intelligence? Brief History and Evolution of AI Types of AI: Narrow vs. General Intelligence Common Myths and Misconceptions

Module 2: How AI Works (Without the Math)
Basics of Machine Learning and Deep Learning Data, Algorithms, and Models Real-World Examples: Image Recognition, Language Processing

Module 3: AI in Everyday Life
AI in Healthcare, Education, Finance, and Retail Smart Assistants, Recommendation Systems, and Automation Case Studies of AI Applications

Module 4: The Business of AI
How Companies Use AI for Efficiency and Innovation AI Strategy for Organizations Jobs and Skills in the AI-Driven Workplace

Module 5: Ethics, Bias, and Responsibility
Understanding AI Bias and Fairness Ethical Considerations and AI Accountability Privacy, Surveillance, and Consent

Module 6: The Future of AI
Trends in AI Development Challenges and Opportunities Ahead How to Prepare for an AI-Influenced Future

Module 7: Taking Action
Getting Involved with AI (as a non-coder) Learning Resources and Tools Final Project: AI Impact Reflection or Case Study

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About Course

What Will You Learn?

Course Content

Module 1: Introduction to AI What is Artificial Intelligence? Brief History and Evolution of AI Types of AI: Narrow vs. General Intelligence Common Myths and Misconceptions

Module 2: How AI Works (Without the Math) Basics of Machine Learning and Deep Learning Data, Algorithms, and Models Real-World Examples: Image Recognition, Language Processing

Module 3: AI in Everyday Life AI in Healthcare, Education, Finance, and Retail Smart Assistants, Recommendation Systems, and Automation Case Studies of AI Applications

Module 4: The Business of AI How Companies Use AI for Efficiency and Innovation AI Strategy for Organizations Jobs and Skills in the AI-Driven Workplace

Module 5: Ethics, Bias, and Responsibility Understanding AI Bias and Fairness Ethical Considerations and AI Accountability Privacy, Surveillance, and Consent

Module 6: The Future of AI Trends in AI Development Challenges and Opportunities Ahead How to Prepare for an AI-Influenced Future

Module 7: Taking Action Getting Involved with AI (as a non-coder) Learning Resources and Tools Final Project: AI Impact Reflection or Case Study

Student Ratings & Reviews

Trending Courses

Trending College Workshops

Company

Contact

Categories

Module 1: Introduction to AI
What is Artificial Intelligence? Brief History and Evolution of AI Types of AI: Narrow vs. General Intelligence Common Myths and Misconceptions

Module 2: How AI Works (Without the Math)
Basics of Machine Learning and Deep Learning Data, Algorithms, and Models Real-World Examples: Image Recognition, Language Processing

Module 3: AI in Everyday Life
AI in Healthcare, Education, Finance, and Retail Smart Assistants, Recommendation Systems, and Automation Case Studies of AI Applications

Module 4: The Business of AI
How Companies Use AI for Efficiency and Innovation AI Strategy for Organizations Jobs and Skills in the AI-Driven Workplace

Module 5: Ethics, Bias, and Responsibility
Understanding AI Bias and Fairness Ethical Considerations and AI Accountability Privacy, Surveillance, and Consent

Module 6: The Future of AI
Trends in AI Development Challenges and Opportunities Ahead How to Prepare for an AI-Influenced Future

Module 7: Taking Action
Getting Involved with AI (as a non-coder) Learning Resources and Tools Final Project: AI Impact Reflection or Case Study