What You'll Be Tested On

Differences between AI, ML, deep learning, and generative AI
Supervised learning: classification and regression
Unsupervised learning: clustering and dimensionality reduction
Reinforcement learning: agents, rewards, and policies
The ML lifecycle: data collection, training, evaluation, deployment, monitoring
AWS AI services: Rekognition, Comprehend, Textract, Polly, Transcribe, Lex, Personalize

Key AWS Services in This Domain

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Know the difference between AI, ML, deep learning, and generative AI — these are commonly tested.

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Understand when to use supervised vs unsupervised vs reinforcement learning.

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Memorize which AWS AI service maps to which use case (e.g., Rekognition = images, Comprehend = text).

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Understand the complete ML lifecycle from data preparation through deployment and monitoring.

Test your knowledge of Fundamentals of AI and ML with practice questions from our AIF-C01 question bank.