Big Data Profesional

AWS IoT: Developing and Deploying an Internet of Things
Learn how to build, deploy and analyze secure IoT solutions in the AWS cloud

- What the Internet of Things is and how it works
- How to deploy IoT devices that are integrated with services such as AWS IoT Core, AWS IoT Device Management, and -
- AWS IoT Analytics
- Use the AWS IoT APIs and SDKs.
- How to collect, process and analyze data from IoT devices in the Cloud
- How to use AWS IoT Greengrass to process and analyze data at the edge

AWS IoT: Developing and Deploying an Internet of Things Learn how to build, deploy and analyze secure IoT solutions in the AWS cloud

AWS: Getting Started with Cloud Security
Let AWS Solutions Architects start you on your journey to secure your cloud resources.

- How the AWS Shared Responsibility Model is used to differentiate between security of the cloud and security in the cloud
- How to use network isolation to protect cloud resources
- How to audit and monitor applications using services such as Amazon CloudWatch, Amazon GuardDuty and AWS Security Hub
The difference between encryption of data at rest and data in transit
- How to protect compute resources
- How to manage secrets

AWS: Getting Started with Cloud Security Let AWS Solutions Architects start you on your journey to secure your cloud resources.

AWS Developer: Optimizing on AWS
AWS experts show how to leverage your developer skills to optimize applications in the AWS Cloud.
- How to use AWS Container Services
- How to improve application performance through techniques such as caching
- How to optimize your applications by using serverless technologies and autoscaling.
- How to use content distribution to improve the end-user experience
- How to use the AWS Command Line Interface (CLI)
- How to encrypt data at rest and in transit using the AWS Key Management Service

AWS Developer: Optimizing on AWS AWS experts show how to leverage your developer skills to optimize applications in the AWS Cloud.

Amazon DynamoDB: Building NoSQL Database-Driven Applications
Learn how to build scalable applications using Amazon DynamoDB.
- How NoSQL databases differ from relational databases and the challenges they solve
- How to provision, manage and interact with a DynamoDB table
- How to secure your DynamoDB database
- How to use partition keys and scaling options to ensure optimal performance

Amazon DynamoDB: Building NoSQL Database-Driven Applications Learn how to build scalable applications using Amazon DynamoDB.

Building Containerized Applications on AWS

Aprenda a utilizar tecnologías de contenedor y servicios de AWS para modernizar sus aplicaciones

- Que son contenedores
- Cómo los contenedores difieren de las máquinas virtuales (VM)
- Cómo se pueden usar los contenedores Docker para construir e implementar aplicaciones basadas en microservicios
- Cómo simplificar la gestión y la organización de contenedores con Amazon Elastic Cloud Service (ECS) y Amazon Elastic Kubernetes Service (EKS)
- Cómo AWS Fargate simplifica la administración de clústeres
- Cómo AWS AppMesh facilita la comunicación entre los componentes de la aplicación
- Use Amazon CloudWatch Container Insights para recopilar métricas de rendimiento y registrarlas en una ubicación centralizada

Building Containerized Applications on AWS Learn how to utilize container technologies and AWS services to modernize your applications

AWS

Cursos en línea gratis de Amazon Web Services

Amazon Web Services (AWS) es la plataforma en la nube más completa y ampliamente adoptada del mundo, que ofrece más de 165 servicios con todas las funciones de centros de datos a nivel mundial, incluidos cómputo, almacenamiento, bases de datos, análisis, redes, dispositivos móviles, herramientas para desarrolladores, herramientas de administración, IoT, seguridad y aplicaciones empresariales. Millones de clientes, incluidas las startups de más rápido crecimiento, las empresas más grandes y las principales agencias gubernamentales, confían en AWS para impulsar su infraestructura, volverse más ágil y reducir los costos. Para obtener más información sobre AWS

Amazon SageMaker: Simplifying Machine Learning Application Development

Aprenda a integrar Machine Learning en sus aplicaciones con capacitación de expertos de AWS, y sin antecedentes en ciencia de datos.

- Key problems that Machine Learning can address and ultimately help solve
- How to train a model using Amazon SageMaker’s built-in algorithms and a Jupyter Notebook instance
- How to publish a model using Amazon SageMaker
- How to integrate the published SageMaker endpoint with an application

Amazon SageMaker: Simplifying Machine Learning Application Development Learn to integrate Machine Learning into your apps with training from AWS experts--and without a data science background.

AWS Developer: Building on AWS

- Cómo crear y administrar una cuenta de AWS
- Conceptos fundamentales de AWS que incluyen regiones, zonas de disponibilidad y nubes privadas virtuales (VPC)
- Cómo instalar y usar los SDK de AWS
- Cómo usar los servicios informáticos de AWS, tanto a través de la consola de AWS

AWS Developer: Building on AWS AWS experts show how to leverage your developer skills to build and run applications in the AWS Cloud.

AWS Developer: Deploying on AWS

AWS experts show how to leverage your developer skills to deploy applications in the AWS Cloud.

Lo que aprenderás

- Cómo usar las herramientas de desarrollador de AWS, incluidas AWS Elastic Beanstalk, AWS CloudFormation, AWS CodeBuild, AWS CodeDeploy y AWS CodePipeline.
- Cómo usar las herramientas de AWS para monitorear sus entornos de desarrollo y producción. Cómo monitorear el rendimiento de las aplicaciones con herramientas de AWS, incluidas Amazon CloudWatch y Amazon Elasticsearch
- Cómo automatizar el proceso de desarrollo / puesta en escena / producción

AWS Developer: Deploying on AWS AWS experts show how to leverage your developer skills to deploy applications in the AWS Cloud.

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