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Explore how machines understand images and videos through computer vision theory, semantic segmentation, recognition, and practical AWS demonstrations.
Learn when to use Amazon S3 by understanding its object storage model, buckets, objects, storage classes, and billing.
Manage Amazon EBS through performance-based volume selection, snapshot backup, encryption, monitoring, and cost tracking.
Learn to secure, monitor, manage, and optimize Amazon S3 storage through policies, encryption, lifecycle controls, replication, and AWS security tools.
Design and implement cloud data warehouses with Amazon Redshift, integrating AWS data services, tuning queries, securing clusters, and analyzing data with BI tools.
Build in-depth operational expertise with Amazon EFS, from creating and mounting file systems to securing data, tuning performance, and evaluating costs.
Prepare for the AWS Certified Solutions Architect – Professional exam by mapping its topics to AWS architecture and interpreting sample questions.
Prepare for the AWS Certified Big Data - Specialty exam through AWS architectural best practices, automated data analysis, and data-driven use cases.
Prepare for the AWS Certified Advanced Networking – Specialty exam by designing secure, scalable, highly available AWS and hybrid network architectures.
Prepare for the AWS Certified Solutions Architect – Associate exam by mapping sample questions to architectural concepts and learning to eliminate incorrect answers.
Learn to create, manage, secure, monitor, and troubleshoot AWS Storage Gateway’s file, volume, and tape modes through the AWS Management Console.
Prepares developers for the AWS Certified Developer–Associate exam by breaking down its domains, interpreting tested concepts, and practicing sample questions.
Learn how to use Amazon Glacier for secure, durable, cost-effective long-term data storage and migration.
Build foundational knowledge of AWS Cloud concepts, core services, security, architecture, pricing, and support.
Introduces HIPAA, HITRUST, GxP, and international data privacy considerations for cloud computing in healthcare and life sciences.
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