Los cursos de capacitación locales de AWS (Amazon Web Services ) dirigidos por un instructor demuestran a través de la práctica práctica interactiva los fundamentos y los conceptos avanzados de AWS. La capacitación de AWS está disponible como "capacitación en vivo en el sitio" o "capacitación en vivo a distancia". La capacitación en vivo en el lugar puede llevarse a cabo localmente en las instalaciones del cliente en Argentina o en los centros de formación corporativa de NobleProg en Argentina . El entrenamiento remoto en vivo se lleva a cabo a través de un escritorio remoto interactivo. NobleProg: su proveedor de capacitación local
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Testimonios
El conocimiento del instructor es increíble así cómo la claridad en las explicaciones.
CARGLASS, S.L.
Curso: AWS Architect Certification
Gabriel estaba muy organizado y preparado para este entrenamiento. Respondió a todas las preguntas y clarificó las nociones y la arquitectura de AWS. Buen trabajo, Gabriel.
Mircea Turcu
Curso: AWS Architect Certification
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Me beneficié de la cobertura de temas relevantes y de la discusión / enfoque en los temas necesarios.
vasanth kumar - HGS - Hinduja Global Solutions
Curso: AWS Architect Certification
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Realmente me gustó la nueva tecnología.
PCCW
Curso: AWS Developer Associate
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ejemplos, preparación de materiales, nivel de conocimiento del capacitador, excelente comunicación
Michał Krasucki - Instytut Lotnictwa
Curso: AWS Developer Associate
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Practica piezas
Instytut Lotnictwa
Curso: AWS Developer Associate
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El entrenamiento es práctico y es bueno para entender cómo usar AWS paso a paso
PCCW
Curso: AWS Developer Associate
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Todo lo que tuvo una introducción teórica y luego la cobertura a través de un ejemplo. Me gustó que como el presentador no sabía algo (por ejemplo, la respuesta a la pregunta), dijo que no lo sabía, pero comprobará en un descanso y volverá a esto. Me gustó más el ejemplo con el uso de SNS, Lambd, Dynamo, EC2 y API Gateaway - una aplicación específica e integración de servicios entre ellos.
Marcel Kończyk - NetworkedAssets Sp. z o.o.
Curso: AWS CloudFormation
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Aplicaciones IOT
Palaniswamy Suresh Kumar - Makers' Academy
Curso: Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」
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El entrenador es bueno - dispuesto a compartir, hacer preguntas y responder preguntas. El instructor comparte de primera mano los diferentes tipos de IoT, diferentes aplicaciones (por ejemplo, en durians), las partes de demostración.
Makers' Academy
Curso: Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」
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Gran equilibrio entre la teoría y la práctica de probar para probar cada sujeto en el entorno real
GE Medical Systems Polska Sp. Z O.O.
Curso: AWS Lambda for Developers
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todo bien, nada que mejorar
Ievgen Vinchyk - GE Medical Systems Polska Sp. Z O.O.
Curso: AWS Lambda for Developers
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Aflotación y fianza flexibilidad gratuita
Marcin Prewo - GE Medical Systems Polska Sp. Z O.O.
Curso: AWS Lambda for Developers
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Temas: Equilibrio de carga; creación de instancias EC2 a partir de plantillas; DynamoDb, buckets de S3, Lambda También me gustan todos los ejemplos en vivo.
GE Medical Systems Polska Sp. Z O.O.
Curso: AWS Architect Certification
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laboratorio&lunch
Comp S.A
Curso: Terraform on AWS
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El nivel de preparación del presentador, la organización del conocimiento, la forma de su transmisión.
Łukasz Pisarczyk - Comp S.A
Curso: Terraform on AWS
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Fórmula, tomates
Robert Grabowski - Comp S.A
Curso: Terraform on AWS
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Algunos de nuestros clientes
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AWS Subcategorías
Programas de los cursos Amazon Web Services
Nombre del Curso
Duración
Descripción General
Nombre del Curso
Duración
Descripción General
21 horas
Descripción General
On demand AWS Architect Certification training course is designed to help professionals to become cloud-enabled using Amazon Web Services. This course is taught with real life examples, helps participants understand the practical application of concepts such as fundamentals of cloud computing, Amazon Web services (AWS), Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), Private Clouds and Cloud programming. After this course participants will be able to have their own implementations on cloud using EC2 instances, S3 buckets etc.
21 horas
Descripción General
Audiencia:
Ingenieros de la nube, arquitectos de soluciones, equipo del centro de excelencia, administradores del servidor de Windows, administrador de Unix / Linux, administradores de almacenamiento, administradores de red, administradores de virtualización
Objetivos del Curso:
Este curso está diseñado para enseñarte cómo:
- Use los conceptos y prácticas principales detrás de la metodología DevOps
- Diseñar e implementar una infraestructura en AWS que admita uno o más proyectos de desarrollo de DevOps
- Utilice AWS CloudFormation y AWS OpsWorks para implementar la infraestructura necesaria para crear entornos de desarrollo, prueba y producción para un proyecto de desarrollo de software
- Use AWS CodeCommit y comprenda la variedad de opciones para habilitar un entorno de integración continua en AWS
- Use AWS CodePipeline para diseñar e implementar una canalización de Integración y Entrega Continua en AWS
- Implementar varios casos de uso comunes de implementación continua utilizando tecnologías AWS, incluida la implementación azul / verde y las pruebas A / B.
- Distinga entre la variedad de tecnologías de implementación de aplicaciones disponibles en AWS (incluidas AWS CodeDeploy, AWS Opsworks, AWS Elastic Beanstalk, Amazon EC2 Container Service y Amazon EC2 Container Registry) y decida qué tecnología se adapta mejor a un escenario determinado
- Realice un ajuste fino de las aplicaciones que entrega en AWS para lograr un alto rendimiento y utilice herramientas y tecnologías de AWS para supervisar su aplicación y su entorno en busca de posibles problemas.
Ingenieros de la nube, arquitectos de soluciones, equipo del centro de excelencia, administradores del servidor de Windows, administrador de Unix / Linux, administradores de almacenamiento, administradores de red, administradores de virtualización
Objetivos del Curso:
Este curso está diseñado para enseñarte cómo:
- Use los conceptos y prácticas principales detrás de la metodología DevOps
- Diseñar e implementar una infraestructura en AWS que admita uno o más proyectos de desarrollo de DevOps
- Utilice AWS CloudFormation y AWS OpsWorks para implementar la infraestructura necesaria para crear entornos de desarrollo, prueba y producción para un proyecto de desarrollo de software
- Use AWS CodeCommit y comprenda la variedad de opciones para habilitar un entorno de integración continua en AWS
- Use AWS CodePipeline para diseñar e implementar una canalización de Integración y Entrega Continua en AWS
- Implementar varios casos de uso comunes de implementación continua utilizando tecnologías AWS, incluida la implementación azul / verde y las pruebas A / B.
- Distinga entre la variedad de tecnologías de implementación de aplicaciones disponibles en AWS (incluidas AWS CodeDeploy, AWS Opsworks, AWS Elastic Beanstalk, Amazon EC2 Container Service y Amazon EC2 Container Registry) y decida qué tecnología se adapta mejor a un escenario determinado
- Realice un ajuste fino de las aplicaciones que entrega en AWS para lograr un alto rendimiento y utilice herramientas y tecnologías de AWS para supervisar su aplicación y su entorno en busca de posibles problemas.
28 horas
Descripción General
Este curso de 4 días proporcionará:
- Una comprensión de los servicios, usos y mejores prácticas de la arquitectura básica de AWS.
- Competencia en el diseño, desarrollo e implementación de soluciones basadas en la nube utilizando AWS.
- Experiencia en el desarrollo y mantenimiento de aplicaciones escritas para Amazon Simple Storage Service, Amazon DynamoDB, Amazon Simple Queue Service, Amazon Simple Notification Service, Amazon Simple Workflow Service, AWS Elastic Beanstalk y AWS CloudFormation.
Audiencia:
Ingenieros de la nube, equipo del centro de excelencia, administradores del servidor de Windows, administrador de Unix / Linux, administradores de almacenamiento, administradores de red, administradores de virtualización.
Al finalizar este programa de capacitación, los participantes deberán poder desplegar y utilizar los servicios de AWS desde el punto de vista del Desarrollador.
- Una comprensión de los servicios, usos y mejores prácticas de la arquitectura básica de AWS.
- Competencia en el diseño, desarrollo e implementación de soluciones basadas en la nube utilizando AWS.
- Experiencia en el desarrollo y mantenimiento de aplicaciones escritas para Amazon Simple Storage Service, Amazon DynamoDB, Amazon Simple Queue Service, Amazon Simple Notification Service, Amazon Simple Workflow Service, AWS Elastic Beanstalk y AWS CloudFormation.
Audiencia:
Ingenieros de la nube, equipo del centro de excelencia, administradores del servidor de Windows, administrador de Unix / Linux, administradores de almacenamiento, administradores de red, administradores de virtualización.
Al finalizar este programa de capacitación, los participantes deberán poder desplegar y utilizar los servicios de AWS desde el punto de vista del Desarrollador.
7 horas
Descripción General
Esta capacitación proporciona una descripción general de los productos, servicios y soluciones de AWS. Está dirigido a personas y equipos que son:
- evaluar / prepararse para una implementación inicial de su infraestructura de TI en AWS
- evaluar / prepararse para migrar su infraestructura de TI existente a la nube pública de AWS
Al final de esta capacitación, los participantes comprenderán claramente los componentes principales que componen la oferta en la nube de Amazon. Los ejercicios prácticos, las discusiones y las implementaciones en clase proporcionarán a los participantes la práctica y los comentarios que necesitan para sentirse cómodos y listos para llevar a cabo sus propias implementaciones en tiempo real en AWS.
Audiencia
Ingenieros, administradores de sistemas, DBA, DevOps
Formato del curso
La capacitación será interactiva e incluye actividades prácticas de laboratorio e implementación en vivo.
- evaluar / prepararse para una implementación inicial de su infraestructura de TI en AWS
- evaluar / prepararse para migrar su infraestructura de TI existente a la nube pública de AWS
Al final de esta capacitación, los participantes comprenderán claramente los componentes principales que componen la oferta en la nube de Amazon. Los ejercicios prácticos, las discusiones y las implementaciones en clase proporcionarán a los participantes la práctica y los comentarios que necesitan para sentirse cómodos y listos para llevar a cabo sus propias implementaciones en tiempo real en AWS.
Audiencia
Ingenieros, administradores de sistemas, DBA, DevOps
Formato del curso
La capacitación será interactiva e incluye actividades prácticas de laboratorio e implementación en vivo.
21 horas
Descripción General
Amazon Redshift es un servicio de almacén de datos basado en la nube petabyte en AWS.
En esta capacitación en vivo dirigida por un instructor, los participantes aprenderán los fundamentos de Amazon Redshift.
Al final de esta capacitación, los participantes podrán:
- Instalar y configurar el Redshift de Amazon
- Cargar, configurar, implementar, consultar y visualizar datos con Amazon Redshift
Audiencia
- Desarrolladores
- Profesionales de TI
Formato del curso
- Conferencia de parte, discusión en parte, ejercicios y práctica práctica
Nota
- Para solicitar una capacitación personalizada para este curso, contáctenos para hacer arreglos.
En esta capacitación en vivo dirigida por un instructor, los participantes aprenderán los fundamentos de Amazon Redshift.
Al final de esta capacitación, los participantes podrán:
- Instalar y configurar el Redshift de Amazon
- Cargar, configurar, implementar, consultar y visualizar datos con Amazon Redshift
Audiencia
- Desarrolladores
- Profesionales de TI
Formato del curso
- Conferencia de parte, discusión en parte, ejercicios y práctica práctica
Nota
- Para solicitar una capacitación personalizada para este curso, contáctenos para hacer arreglos.
14 horas
Descripción General
AWS ofrece tres entornos para la gestión de contenedores: ECS, EKS y Fargate. ECS (Elastic Container Service) ofrece un enfoque automatizado de Docker-as-a-service para desarrollar contenedores. EKS es una configuración autogestionada de Kubernetes-as-a-service y es más compleja de instalar y gestionar. EKS es totalmente escalable y personalizable, y permite a Kubernetes implementarse para imitar y/o integrarse con una configuración de Kubernetes existente, en premisas. Fargate es simplemente un servicio para gestionar instancias de ECS y EKS.
En esta capacitación en vivo dirigida por instructor los participantes aprenderán cómo configurar y gestionar un entorno de un contenedor a escala de producción usando Kubernetes en EKS. Fargate también será discutido y evaluado por su utilidad en diferentes escenarios.
Para el final de esta capacitación, los participantes serán capaces de:
- Configurar y gestionar Kubernetes en EKS.
- Migrar un entorno Kubernetes existente de en premisas a una nube AWS.
- Combinar Kubernetes con software de integración continua de terceros (CI).
- Asegurar alta disponibilidad y recuperación de desastres en Kubernetes.
- Entender cómo Fargate funciona y cuándo tiene sentido utilizarla.
Audiencia
- Desarrolladores
- Administradores de Sistema
- Ingenieros DevOps
Formato del curso
- Parte expositivo, parte discusión, ejercicios y práctica intensa en un ambiente de laboratorio en vivo.
Nota
- Para solicitar una capacitación personalizada para este curso, por favor contáctenos para organizarlo.
En esta capacitación en vivo dirigida por instructor los participantes aprenderán cómo configurar y gestionar un entorno de un contenedor a escala de producción usando Kubernetes en EKS. Fargate también será discutido y evaluado por su utilidad en diferentes escenarios.
Para el final de esta capacitación, los participantes serán capaces de:
- Configurar y gestionar Kubernetes en EKS.
- Migrar un entorno Kubernetes existente de en premisas a una nube AWS.
- Combinar Kubernetes con software de integración continua de terceros (CI).
- Asegurar alta disponibilidad y recuperación de desastres en Kubernetes.
- Entender cómo Fargate funciona y cuándo tiene sentido utilizarla.
Audiencia
- Desarrolladores
- Administradores de Sistema
- Ingenieros DevOps
Formato del curso
- Parte expositivo, parte discusión, ejercicios y práctica intensa en un ambiente de laboratorio en vivo.
Nota
- Para solicitar una capacitación personalizada para este curso, por favor contáctenos para organizarlo.
21 horas
Descripción General
This instructor-led, live training in (online or onsite) is aimed at engineers who wish to evaluate each of these services to make an informed decisions about which to deploy within their organization.
By the end of this training, participants will be able to:
- Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
- Set up, configure and deploy a series of demo containers using a number of different approaches.
- Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
- Automate the deployment of Docker containers.
- Set up a continuous integration and deployment pipeline.
- Integrate Docker and Kubernetes into an existing continuous integration system.
By the end of this training, participants will be able to:
- Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
- Set up, configure and deploy a series of demo containers using a number of different approaches.
- Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
- Automate the deployment of Docker containers.
- Set up a continuous integration and deployment pipeline.
- Integrate Docker and Kubernetes into an existing continuous integration system.
14 horas
Descripción General
This instructor-led, live training in Argentina (online or onsite) is aimed at engineers who wish to use Amazon ECS to deploying and scaling containerized applications.
By the end of this training, participants will be able to:
- Create a containerized application running on Amazon ECS.
- Understand how ECS Clusters and the ECS Agent work.
- Auto Scale a Containerized Application
- Automate the Deployment Process
- Integrate the Docker application deployment process with new or existing Continuous Integration workflows.
By the end of this training, participants will be able to:
- Create a containerized application running on Amazon ECS.
- Understand how ECS Clusters and the ECS Agent work.
- Auto Scale a Containerized Application
- Automate the Deployment Process
- Integrate the Docker application deployment process with new or existing Continuous Integration workflows.
14 horas
Descripción General
This instructor-led, live training in Argentina (online or onsite) is aimed at engineers who wish to use Amazon EKS to deploy and scale containerized applications across AWS managed Kubernetes clusters.
By the end of this training, participants will be able to:
- Set up an EKS based Kubernetes cluster.
- Create and run a containerized application on Amazon EKS.
- Auto-scale a Containerized Application
- Automate the Deployment Process
- Integrate EKS based applications with a new or existing Continuous Integration workflow.
By the end of this training, participants will be able to:
- Set up an EKS based Kubernetes cluster.
- Create and run a containerized application on Amazon EKS.
- Auto-scale a Containerized Application
- Automate the Deployment Process
- Integrate EKS based applications with a new or existing Continuous Integration workflow.
28 horas
Descripción General
This instructor-led, live training in Argentina (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on AWS.
- Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on AWS.
- Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
21 horas
Descripción General
This instructor-led, live training in (online or onsite) is aimed at engineers who wish to use Terraform on AWS to plan and build cloud infrastructure.
By the end of this training, participants will be able to:
- Install and configure Terraform on AWS.
- Implement an "infrastructure as code" approach to managing AWS cloud environments.
- Create, launch, and dismantle infrastructure from within a single tool.
- Write declarative configuration files that can be managed like any other source code in a version control system.
- Quickly update configuration files for effectively responding to changing compute resource needs.
- Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
- Improve transparency in the infrastructure procurement process.
By the end of this training, participants will be able to:
- Install and configure Terraform on AWS.
- Implement an "infrastructure as code" approach to managing AWS cloud environments.
- Create, launch, and dismantle infrastructure from within a single tool.
- Write declarative configuration files that can be managed like any other source code in a version control system.
- Quickly update configuration files for effectively responding to changing compute resource needs.
- Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
- Improve transparency in the infrastructure procurement process.
28 horas
Descripción General
This instructor-led, live training in Argentina (online or onsite) is aimed at cloud engineers wishing to understand and implement the more complex aspects of AWS architecture. The course covers many of the same topics as the AWS Certified Solutions Architect (Professional) level courses. However, this course is NOT intended to prepare participants to take an exam. This is a hands-on, practical course that demonstrates how to implement in a live lab environment many of the configurations, implementations, and deployments that an AWS Solutions Architect would need to carry out.
By the end of this training, participants will be able to:
- Design complex cloud solutions on AWS.
- Deploy software applications on AWS that are scalable, highly available, and fault-tolerant.
- Integrate the most appropriate AWS services with an application.
- Migrate a complex software application to AWS.
- Apply best practices to the design, implementation, optimization and deployment of infrastructure and applications on AWS.
By the end of this training, participants will be able to:
- Design complex cloud solutions on AWS.
- Deploy software applications on AWS that are scalable, highly available, and fault-tolerant.
- Integrate the most appropriate AWS services with an application.
- Migrate a complex software application to AWS.
- Apply best practices to the design, implementation, optimization and deployment of infrastructure and applications on AWS.
14 horas
Descripción General
This instructor-led, live training in Argentina (online or onsite) is aimed at engineers who wish to accelerate the performance of their website or web application by way of an Amazon CloudFront CDN (content delivery network).
By the end of this training, participants will be able to:
- Setup the appropriate AWS account to access CloudFront.
- Cache media content such as video and audio near consumers to reduce latency and increase download speed.
- Cache frequently accessed static content such as website images and downloadable software.
- Cache dynamic, streaming, and interactive content to improve the customer experience.
By the end of this training, participants will be able to:
- Setup the appropriate AWS account to access CloudFront.
- Cache media content such as video and audio near consumers to reduce latency and increase download speed.
- Cache frequently accessed static content such as website images and downloadable software.
- Cache dynamic, streaming, and interactive content to improve the customer experience.
21 horas
Descripción General
This instructor-led, live training in Argentina (online or onsite) is aimed at engineers, developers, and administrative IT personnel who wish to optimize their organization's data center and workflows using the fully supported system of AWS Outposts.
By the end of this training, participants will be able to:
- Evaluate and prepare the on-premise environment for AWS Outposts setup and installation.
- Configure an Outpost based on the suitable memory and storage options for the enterprise.
- Adjust to AWS cloud architecture and familiarize with the interface of AWS Outposts.
- Utilize the primary tools and features of an Outpost for big data processing and development implementations.
- Execute more flexible and seamless management methods within the organization.
By the end of this training, participants will be able to:
- Evaluate and prepare the on-premise environment for AWS Outposts setup and installation.
- Configure an Outpost based on the suitable memory and storage options for the enterprise.
- Adjust to AWS cloud architecture and familiarize with the interface of AWS Outposts.
- Utilize the primary tools and features of an Outpost for big data processing and development implementations.
- Execute more flexible and seamless management methods within the organization.
7 horas
Descripción General
This instructor-led, live training in Argentina (online or onsite) is aimed at technical persons who wish to understand AWS products and services so as to make an informed decision about how to implement AWS cloud solutions within their organization.
By the end of this training, participants will be able to:
- Identify and understand the role of each of the services offered by AWS.
- Understand the terminology and concepts related to AWS.
- Navigate the AWS Management Console.
- Set up and manage team user accounts securely.
- Match AWS's services to an organization's problem and requirements.
- Make informed decisions about which AWS services to implement.
- Plan out a broad cloud solution strategy for an organization.
By the end of this training, participants will be able to:
- Identify and understand the role of each of the services offered by AWS.
- Understand the terminology and concepts related to AWS.
- Navigate the AWS Management Console.
- Set up and manage team user accounts securely.
- Match AWS's services to an organization's problem and requirements.
- Make informed decisions about which AWS services to implement.
- Plan out a broad cloud solution strategy for an organization.
7 horas
Descripción General
This instructor-led, live training in Argentina (online or onsite) is aimed at DevOps engineers and developers who wish to use CodePipeline to automate release pipelines for efficient updating of applications and infrastructures.
By the end of this training, participants will be able to use CodePipeline features and tools to automate and configure workflows in software release workflows.
By the end of this training, participants will be able to use CodePipeline features and tools to automate and configure workflows in software release workflows.
21 horas
Descripción General
This instructor-led, live training in Argentina (online or onsite) is aimed at data scientists and developers who wish to create and train machine learning models for deployment into production-ready hosting environments.
By the end of this training, participants will be able to:
- Use notebook instances to prepare and upload data for training.
- Train machine learning models using training datasets.
- Deploy trained models to an endpoint to create predictions.
By the end of this training, participants will be able to:
- Use notebook instances to prepare and upload data for training.
- Train machine learning models using training datasets.
- Deploy trained models to an endpoint to create predictions.
21 horas
Descripción General
This instructor-led, live training in Argentina (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices.
By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications.
By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications.
14 horas
Descripción General
This instructor-led, live training in Argentina (online or onsite) is aimed at developers who wish to use Amazon S3 to enable cloud-based storage for their websites, web applications and/or mobile applications.
14 horas
Descripción General
This instructor-led, live training in Argentina (onsite or remote) is aimed at developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without needing to worry about provisioning the execution environment (servers, VMs and containers, availability, scalability, storage, etc.).
By the end of this training, participants will be able to:
- Configure AWS Lambda to execute a function.
- Understand FaaS (Functions as a Service) and the advantages of serverless development.
- Build, upload and execute AWS Lambda functions.
- Integrate Lambda functions with different event sources.
- Package, deploy, monitor and troubleshoot Lambda based applications.
By the end of this training, participants will be able to:
- Configure AWS Lambda to execute a function.
- Understand FaaS (Functions as a Service) and the advantages of serverless development.
- Build, upload and execute AWS Lambda functions.
- Integrate Lambda functions with different event sources.
- Package, deploy, monitor and troubleshoot Lambda based applications.
14 horas
Descripción General
This instructor-led, live training in Argentina (online or onsite) is aimed at developers who wish to integrate AWS Lambda applications and services with other services (API Gateway, Kinesis Streams, etc.). The training demonstrates how to use the browser-based AWS Cloud9 IDE to develop software collaboratively.
By the end of this training, participants will be able to:
- Collaboratively develop functions, applications and services using AWS Cloud9 IDE.
- Integrate AWS Lambda functions with other AWS services.
- Create and manage APIs.
- Set up an AWS Lambda function to read and process real-time streaming data.
- Create and manage a continuous integration pipeline for building, testing and deploying a AWS Lambda functions and applications.
By the end of this training, participants will be able to:
- Collaboratively develop functions, applications and services using AWS Cloud9 IDE.
- Integrate AWS Lambda functions with other AWS services.
- Create and manage APIs.
- Set up an AWS Lambda function to read and process real-time streaming data.
- Create and manage a continuous integration pipeline for building, testing and deploying a AWS Lambda functions and applications.
14 horas
Descripción General
This instructor-led, live training in Argentina (onsite or remote) is aimed at engineers who wish to deploy and manage IoT devices on AWS.
By the end of this training, participants will be able to build an IoT platform that includes the deployment and management of a backend, gateway, and devices on top of AWS.
By the end of this training, participants will be able to build an IoT platform that includes the deployment and management of a backend, gateway, and devices on top of AWS.
8 horas
Descripción General
Summary:
- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage using DynamoDB.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Hands on with Raspberry PI and AWS IoT Core to build a smart device.
- Sensor data visualization and communication with web interface.
- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage using DynamoDB.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Hands on with Raspberry PI and AWS IoT Core to build a smart device.
- Sensor data visualization and communication with web interface.
21 horas
Descripción General
This instructor-led, live training in Argentina (online or onsite) is aimed at developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices.
By the end of this training, participants will be able to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.
By the end of this training, participants will be able to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.
7 horas
Descripción General
This instructor-led, live training in Argentina (online or onsite) is aimed at engineers who wish to use AWS CloudFormation to automate the process of managing AWS cloud infrastructure.
By the end of this training, participants will be able to:
- Enable AWS services to get started managing infrastructure.
- Understand and apply the principle of "infrastructure as code".
- Improve quality and lower the costs of deploying infrastructure.
- Write AWS CloudFormation Templates using YAML.
By the end of this training, participants will be able to:
- Enable AWS services to get started managing infrastructure.
- Understand and apply the principle of "infrastructure as code".
- Improve quality and lower the costs of deploying infrastructure.
- Write AWS CloudFormation Templates using YAML.
7 horas
Descripción General
This instructor-led, live training in Argentina (online or onsite) is aimed at cloud engineers and developers who wish to use CloudFormation to manage infrastructure resources within the AWS ecosystem.
By the end of this training, participants will be able to:
- Implement CloudFormation templates to automate infrastructure management.
- Integrate existing AWS resources into CloudFormation.
- Use StackSets to manage stacks across multiple accounts and regions.
By the end of this training, participants will be able to:
- Implement CloudFormation templates to automate infrastructure management.
- Integrate existing AWS resources into CloudFormation.
- Use StackSets to manage stacks across multiple accounts and regions.
14 horas
Descripción General
This instructor-led, live training in Argentina (online or onsite) is aimed at developers who wish to integrate a DynamoDB NoSQL database into a web application hosted on AWS.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start integrating data into DynamoDB.
- Integrate DynamoDB into web applications and mobile applications.
- Move data in AWS with AWS services.
- Implement operations with AWS DAX.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start integrating data into DynamoDB.
- Integrate DynamoDB into web applications and mobile applications.
- Move data in AWS with AWS services.
- Implement operations with AWS DAX.
4 horas
Descripción General
Summery:
- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Alerts and events
- Sensor calibration
- Basics of IoT architecture and functions
- “Things”, “Sensors”, Internet and the mapping between business functions of IoT
- Essential of all IoT software components- hardware, firmware, middleware, cloud and mobile app
- IoT functions- Fleet manager, Data visualization, SaaS based FM and DV, alert/alarm, sensor onboarding, “thing” onboarding, geo-fencing
- Basics of IoT device communication with cloud with MQTT.
- Connecting IoT devices to AWS with MQTT (AWS IoT Core).
- Connecting AWS IoT core with AWS Lambda function for computation and data storage.
- Connecting Raspberry PI with AWS IoT core and simple data communication.
- Alerts and events
- Sensor calibration
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