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Learn data fundamentals, AWS storage services, and data ingestion techniques for machine learning. Explore data types, visualization, and effective storage decisions for ML tasks using Amazon S3, Kinesis, and other AWS tools.
Build no-code ML and generative AI models on AWS using SageMaker Canvas. Learn data preparation, model training, evaluation, and deployment for tabular, time series, and text data without coding experience.
Learn to use Amazon Q Developer, an AI assistant for AWS app development. Optimize, transform, and extend code with hands-on practice in an IDE, exploring key features and use cases.
Explore generative BI with Amazon Q in QuickSight, learning architecture, use cases, and how to leverage natural language queries for data insights and dashboard creation.
Learn to discover, assess, and migrate on-premises databases using AWS DMS Fleet Advisor. Gain hands-on experience with installation, configuration, and monitoring tools for efficient database migration planning.
Automatización de la gobernanza en la nube de AWS para mejorar la seguridad en organizaciones grandes, incluyendo gestión de cuentas, presupuestos, operaciones y cumplimiento normativo.
AI와 ML의 기초, 핵심 개념, 데이터 유형, 학습 방법을 소개하고 AWS 서비스를 활용한 실제 문제 해결 방법을 제시하는 1시간 분량의 입문 과정입니다.
Learn to implement secure multi-tenant SaaS solutions on AWS using ABAC and IAM for robust tenant isolation and data segregation. Master designing architectures, managing identities, and monitoring access for compliance.
Learn to configure Amazon Connect's chat and messaging channels, including web chat, SMS, and third-party apps. Explore features and functionality for effective customer communication.
Learn to customize Amazon Connect Flows using contact attributes, external data sources, and best practices for optimizing IVR and routing in contact centers.
Learn to publish AMI, container, and SaaS products on AWS Marketplace. Gain hands-on experience through labs and understand the seller perspective for prospective and existing AWS sellers.
Analyze customer conversations, evaluate agent performance, and improve customer experience with Amazon Connect Contact Lens. Learn implementation, trends analysis, and efficient interaction review techniques.
Learn to build natural language interfaces for Amazon Connect, exploring benefits, use cases, concepts, and implementation strategies for voice and text interactions across multiple channels.
Learn to design and customize Amazon Connect Flows for optimized IVR systems and personalized customer experiences. Explore flow types, blocks, and operational improvements in this fundamental course.
Explore IVR benefits, design factors, and key components in Amazon Connect. Learn to enhance customer experience through self-service options and intelligent call routing using Amazon Lex.
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