Level 101: AI Basics

Welcome to the complete beginner's guide to AI fundamentals! This course will teach you the essential concepts that form the foundation of artificial intelligence, machine learning, and deep learning.

What You'll Learn

By the end of this course, you'll be able to:

• ✅ Understand the differences between AI, ML, and DL
• ✅ Classify AI systems by capabilities and functional scope
• ✅ Identify real-world AI applications in various industries
• ✅ Separate AI myths from reality
• ✅ Build a solid foundation for advanced AI topics
• ✅ Apply AI concepts to real-world scenarios
• ✅ Avoid common misconceptions about AI

Course Structure

🛠️ Interactive Resources

Prerequisites

• Basic computer literacy
• Curiosity about technology
• No programming experience required
• No technical background needed

Learning Path

Lesson 1: What is AI, ML and DL?
    ↓
Lesson 2: Types of AI
    ↓
Lesson 3: Applications of AI
    ↓
Lesson 4: Myths and Realities
    ↓
Foundation Complete!

Success Metrics

After completing Level 101, you should be able to:

Knowledge Check

• [ ] Explain the differences between AI, ML, and DL
• [ ] Classify AI systems by capabilities (Narrow, General, Superintelligent)
• [ ] Identify different types of AI by cognitive features
• [ ] List real-world applications of AI in various industries
• [ ] Distinguish between AI myths and reality

Practical Skills

• [ ] Recognize AI systems in everyday life
• [ ] Understand AI terminology and concepts
• [ ] Evaluate AI claims and capabilities
• [ ] Apply AI concepts to real-world scenarios
• [ ] Build a foundation for advanced AI learning

Pro Tips

1. Start with the Basics: Understanding AI, ML, and DL relationships is crucial
2. Look for Examples: Connect concepts to real-world applications you encounter
3. Question Everything: Don't believe everything you hear about AI capabilities
4. Build Gradually: Each lesson builds on the previous one
5. Stay Curious: AI is evolving rapidly, so keep learning

Related Resources

Glossary

• Artificial Intelligence - Core AI concepts
• Machine Learning - ML fundamentals
• Deep Learning - Neural networks and DL
• Artificial Intelligence - Classification systems

Next Steps

• Level 201: Machine Learning Basics - Dive deeper into ML
• Level 301: Neural Networks - Understand neural networks
• Level 401: Advanced AI Concepts - Explore cutting-edge AI

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