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Comprehensive ML training for data scientists and developers, covering AWS services, AI integration, and certification preparation. Includes hands-on projects and real-world applications.
Explore generative AI fundamentals, use cases, risks, and benefits. Learn to identify business value and understand content generation applications through interactive elements and practical examples.
Explore AWS Storage services, including block, object, and file storage, hybrid solutions, data transfer, and protection. Learn to assess needs and choose optimal cloud storage for your organization.
Explore machine learning fundamentals for business leaders, covering AI basics, ML applications, potential challenges, and market opportunities in this concise AWS course.
Learn disaster recovery strategies with AWS Managed Services Advanced. Design, implement, and test tailored solutions for business continuity. Gain hands-on experience with backups, replication, and restoration across AWS regions.
Explore Amazon's Working Backwards approach to customer-centric innovation, its origins, implementation, and deployment strategies for transformative product development.
Interactive AI-powered simulation for hands-on AWS cloud computing practice. Engage with virtual customers, design solutions, and build them in a live AWS Console environment to develop technical and soft skills.
Explore responsible AI principles, challenges, and best practices for ethical, fair, and transparent AI development, with a focus on AWS tools for implementing responsible AI systems.
AWS 비용 관리 도구와 대시보드의 기본 개요. Cost Explorer, Budgets 등 다양한 도구를 소개하고 Free Tier에 대해 설명합니다.
Learn to build, deploy, and monitor smart chatbots using AWS services like Amazon Polly and Lex, enhancing user experience and gathering valuable insights.
Learn AWS Cloud essentials, including architecture, key services, and infrastructure. Gain foundational knowledge to advance your skills and understand AWS terminology, value proposition, and pricing.
Test your knowledge of generative AI fundamentals, including large language models, prompt engineering, ethical considerations, and applications across industries in this quick assessment.
Explore analytics fundamentals, big data concepts, and AWS services for handling data volume, variety, velocity, veracity, and value in this comprehensive introduction to modern data analytics.
Learn to troubleshoot AWS workloads, from infrastructure basics to advanced scenarios. Gain skills in problem-solving, using support tools, and implementing preventative measures for various AWS services.
Explore data analytics fundamentals on AWS, from raw data to insights. Learn descriptive techniques and apply them to CloudTrail logs using Amazon Athena and QuickSight to build a security dashboard.
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