AWS Certified AI Practitioner (AIF-C01) - Practice exams
Master AWS AI Practitioner Certification: Your Path to Cutting-Edge AI and ML Expertise
3.64 (11 reviews)
399
students
425 questions
content
Sep 2024
last update
$69.99
regular price
What you will learn
Gain a solid foundation in the basic concepts of Artificial Intelligence (AI) and Machine Learning (ML), including their key terminologies and principles.
Develop familiarity with AWS AI and ML services, such as Amazon SageMaker, AWS DeepLens, AWS DeepRacer, Amazon Comprehend, Amazon Rekognition, and others.
Learn how to deploy and manage machine learning models using AWS services, understanding the lifecycle from model creation to deployment and monitoring.
Acquire skills in data preprocessing and feature engineering techniques essential for preparing data for machine learning models.
Understand and apply best practices for security in the context of AI and ML, including data privacy, access management, and compliance considerations on AWS.
Enhance problem-solving skills by applying AI and ML techniques to various business problems and scenarios, as reflected in sample exam questions.
Learn how to optimize the performance of AI and ML models on AWS, including tuning hyperparameters and scaling resources effectively.
Understand the ethical considerations in AI, including bias detection and mitigation strategies, ensuring fair and responsible AI implementations.
Gain practical experience through hands-on exercises and practice questions that mimic the format and content of the actual AWS Certified AI Practitioner exam.
Build confidence and readiness for the AWS Certified AI Practitioner certification exam through targeted practice, familiarization with exam structure, and stra
6036998
udemy ID
6/22/2024
course created date
7/16/2024
course indexed date
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