← AWS Certified AI Practitioner
AWS · objective · 20% of the exam
Fundamentals of AI and ML
Exam objectives are the official skill domains AWS Certified AI Practitioner tests. Below are the official AWS docs our questions on this objective cite — review them, then practise.
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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.