Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think, reason, and learn.

• AI vs. Human Intelligence – AI mimics cognitive functions like learning and problem-solving.
• Narrow AI – AI systems that are designed for a specific task (e.g., facial recognition).
• General AI – Hypothetical AI that can perform any intellectual task a human can do.
• Machine Learning (ML) – A subset of AI that enables machines to improve through experience.
• Deep Learning – A specialized branch of ML using neural networks with many layers.

• Virtual assistants (e.g., Siri, Alexa)
• Image and speech recognition
• Recommendation systems (e.g., Netflix, Amazon)
• Autonomous vehicles

The AI-900 exam expects candidates to:

• Understand what AI is and is not
• Identify different types of AI workloads
• Recognize common use cases and benefits of AI in business

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