🌱 Your AI Starting Point
Perfect for absolute beginners with no prior AI knowledge. Learn the fundamentals and build a solid foundation in artificial intelligence.
What is AI? (The Plain English Guide)
Understand AI, Machine Learning, Deep Learning, and Generative AI through simple explanations and real-world examples.
What you'll learn:
- •AI vs ML vs Deep Learning explained
- •Real-world AI examples (spam filters, recommendations)
- •Types of AI: Narrow vs General AI
- •How AI impacts your daily life
Recommended resources:
Why is AI Important Now?
Explore the current AI boom, its potential impact across industries, and why learning AI can benefit you.
What you'll learn:
- •The AI revolution and recent breakthroughs
- •AI applications across different industries
- •Career opportunities in AI
- •Future implications of AI technology
Recommended resources:
Core AI Concepts Explained
Learn fundamental AI concepts including data, algorithms, training, and different types of AI systems.
What you'll learn:
- •Data: The fuel for AI systems
- •Algorithms: Instructions AI follows
- •Training: How AI learns from data
- •Supervised vs Unsupervised learning basics
Recommended resources:
Introduction to Python (Optional, but Recommended)
Learn why Python is popular in AI and get started with basic Python programming concepts.
What you'll learn:
- •Why Python for AI?
- •Basic Python syntax and concepts
- •Variables, data types, and functions
- •Introduction to Python libraries
Recommended resources:
Your First Simple AI Experiment
Get hands-on experience with a simple, no-code AI tool to understand the basic input/output process.
What you'll learn:
- •Introduction to Teachable Machine
- •Creating your first image classifier
- •Understanding model training process
- •Testing and improving your model
Recommended resources:
Key Areas of AI
Explore different branches of AI including Computer Vision, Natural Language Processing, and Robotics.
What you'll learn:
- •Computer Vision: Teaching machines to see
- •Natural Language Processing: Understanding text
- •Robotics: AI in physical systems
- •Speech recognition and generation
Recommended resources:
Ethical Considerations in AI
Understand important topics like bias in AI, privacy concerns, and responsible AI development.
What you'll learn:
- •Bias and fairness in AI systems
- •Privacy and data protection
- •Transparency and explainability
- •The future of AI and society
Recommended resources:
🎉 Ready for the Next Level?
Once you've completed the basic level, you'll be ready to dive deeper into machine learning and neural networks.
Continue to Intermediate Level 🚀