← AWS Certified AI Practitioner
AWS · objective · 20% of the exam
Fundamentals of AI and ML — AWS Certified AI Practitioner
The official AWS documentation our Fundamentals of AI and ML practice questions are cited to. Review the primary sources, then practise.
Official references for this objective
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Amazon Web Services — What is AI? - Artificial Intelligence Explained - AWS
Computer vision uses deep learning techniques to extract information and insights from videos and images. You can use it to monitor online content for inappropriate
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Amazon Web Services — What is AGI? - Artificial General Intelligence Explained - AWS
Artificial general intelligence (AGI) is a field of theoretical AI research that attempts to create software with human-like intelligence and the ability to self-teach.
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Amazon Web Services — What is Deep Learning? - Deep Learning AI Explained - AWS
Content moderation to automatically remove unsafe or inappropriate content from image and video archives Facial recognition to identify faces
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Amazon Web Services — What is Reinforcement Learning? - Reinforcement Learning Explained - AWS
RL algorithms use a reward-and-punishment paradigm as they process data. They learn from the feedback of each action
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Amazon Web Services — What is a Neural Network? - Artificial Neural Network Explained - AWS
They need millions of examples of training data rather than perhaps the hundreds or thousands that a simpler network might need.
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Amazon Web Services — Types of Algorithms - Amazon SageMaker AI
the prediction of house prices using features like the number of bathrooms and bedrooms and the square footage
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Amazon Web Services — Overview of machine learning with Amazon SageMaker AI - Amazon SageMaker AI
Evaluating the model – After you train your model, you evaluate it to determine whether the accuracy of the inferences is acceptable.