Fundamentals of AI and ML
AI, ML, Deep Learning, and Generative AI
Know the nesting relationship: AI is the broad field, machine learning is a subset of AI, deep learning is a subset of ML, and generative AI commonly uses foundation models to create new content. For AIF-C01, expect scenario questions that ask which term best describes a capability or approach.
Concepts
- Artificial intelligence is the broad discipline of building systems that perform tasks associated with human intelligence.
- Machine learning is a subset of AI where systems learn patterns from data instead of being explicitly programmed for every rule.
- Deep learning is a subset of ML that uses multi-layer neural networks to learn representations from large datasets.
- Generative AI uses models, often foundation models, to create new text, images, audio, code, or other content.
Exam tips
- AI is the umbrella term; ML learns from data instead of fixed rules.
- Deep learning uses multi-layer neural networks and usually needs substantial data.
- Generative AI creates new content such as text, images, code, or audio.