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The AWS Certified AI Practitioner certification is designed to validate foundational knowledge of Artificial Intelligence (AI) and Machine Learning (ML) in the context of AWS services. It is ideal for individuals aiming to understand how AI/ML solutions can be implemented on AWS for practical and business-driven use cases.
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This certification provides an overview of AI/ML fundamentals, AWS AI/ML services, model deployment strategies, ethical considerations, and use cases. It focuses on empowering non-technical professionals and early-career technologists to communicate, evaluate, and contribute to AI initiatives.
Type: Multiple Choice, Multiple Response
Duration: 90 minutes
Number of Questions: ~65
Passing Score: ~70%
By the end of the course and exam prep, learners will be able to:
This course outlines provide comprehensive guide to help candidates demonstrate their understanding of the AWS AI and ML principles.
History and evolution
Key AI/ML concepts
AI vs ML vs Deep Learning
AWS core services: EC2, S3, IAM
Introduction to AWS ML Stack
Setting up the environment
Amazon SageMaker – ML model building and deployment
Amazon Rekognition – Image and video analysis
Amazon Comprehend – Natural language processing
Amazon Lex – Conversational interfaces
Amazon Polly – Text-to-speech
Data collection and preparation
Model training and tuning
Model evaluation and deployment
Real-world case studies
AI in customer service, operations, marketing, and logistics
ML pipelines in enterprise settings
Bias in datasets
Privacy and fairness
Responsible deployment principles
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