Overview
This course aims to introduce the fundamentals of Artificial Intelligence (AI) to a general audience, regardless of their technical background. AI can seem complex, but we break down its essential concepts in this course, show its everyday applications, and highlight ethical considerations. By the end, learners will have a solid understanding of AI and how it fits into our modern world.
Target Audience
- General Public: Anyone interested in understanding AI without diving into technical details.
- Business Professionals: Individuals looking to understand AI to apply in their professional environments.
- Students: High school or college students curious about the applications and future of AI.
- Educators: Teachers who want to introduce AI concepts in classrooms.
- Senior Citizens: Older adults wanting to stay informed about modern technological advancements.
Key Learning Outcomes
By the end of the course, learners will be able to:
- Understand the basics of AI, including its history and major types.
- Identify how AI is already part of their everyday lives.
- Recognize the ethical and societal implications of AI.
- Experiment with simple AI-powered tools to get hands-on experience.
Course Content
Introduction to AI: Breaking Down the Basics
Topics Covered:
- What is AI?
- History of AI: From early concepts to modern advancements.
- Types of AI: Narrow AI vs. General AI vs. Superintelligent AI.
- Key AI Terms: Machine learning, neural networks, and algorithms.
Learning Objective:
Learners will gain an understanding of AI’s history and its evolution, as well as the different types and key terms often associated with AI.
AI in Everyday Life: The Impact on You
Topics Covered:
- AI in smartphones: Voice assistants like Siri and Google Assistant.
- AI in social media: Algorithms that personalize your feed.
- AI in e-commerce: Recommendation engines on platforms like Amazon.
- AI in healthcare: Early diagnostics and personalized treatment.
- AI in transportation: Self-driving cars and navigation systems.
Learning Objective:
Identify the AI technologies we interact with daily and learn how they function behind the scenes.
How AI Learns from Data
Topics Covered:
- Supervised Learning: Learning by example.
- Unsupervised Learning: Discovering patterns on its own.
- Reinforcement Learning: Learning through trial and error.
Learning Objective:
Understand how AI uses data to learn and improve over time through different learning methods.
Ethical Implications of AI: What You Need to Know
Topics Covered:
- AI Bias: How algorithms can reinforce stereotypes.
- Privacy Concerns: The data AI collects and its implications.
- Job Displacement: Automation and the future of work.
- Ethical AI: Efforts to ensure fairness, transparency, and accountability.
Learning Objective:
Learn about the key ethical challenges AI presents and the ongoing debates in the industry.
[Coming soon. Subscribe to our Right Under The Hood Channel to see it first!]
Description: This video dives deep into the ethical questions AI raises—covering bias, privacy concerns, and how AI might change the workforce as we know it.
What’s Next?
Stay tuned for upcoming videos and tutorials! We’ll continue to explore exciting AI topics, and you’ll even get the chance to experiment with some simple AI tools yourself. Each video is designed to make AI accessible, regardless of your background.
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Thanks for watching, folks! Let the power be with you!