Understanding AI and Machine Learning

45 minutes

In this introductory module, you'll learn: • What is Artificial Intelligence and how it differs from traditional programming • The relationship between AI, Machine Learning, and Deep Learning • Key concepts and terminology in AI • Types of AI: Narrow AI vs General AI • Real-world applications and examples • The impact of AI on various industries By the end of this module, you'll have a solid foundation in AI concepts and be ready to dive deeper into specific applications.

Learning Resources

Introduction to AI Concepts

AI vs Machine Learning vs Deep Learning

AI vs ML vs DL

Visual representation of the relationship between AI, ML, and DL

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Practical Exercises

Identifying AI Applications

Analyze different scenarios and identify which type of AI would be most appropriate.

Hints:

Consider the data type available
Think about the desired outcome
Consider scalability requirements

Knowledge Check

What is the main difference between AI and traditional programming?

AI requires more codeAI learns from data rather than following explicit instructionsAI only works with numbersTraditional programming is faster

Which of the following is NOT a type of Machine Learning?

Supervised LearningUnsupervised LearningProgrammed LearningReinforcement Learning

Next: Types of AI Models and Their Applications →