Centennial Tower

5F, Jl. Gatot Subroto No.24-25, RT.2/RW.2, Karet Semanggi, Kecamatan Setiabudi, Kota Jakarta Selatan, Daerah Khusus Ibukota, Jakarta Selatan, Indonesia, 12930

Grand Slipi Tower

Jl. Letjen S. Parman No.24, RT.1/RW.4, Palmerah, Kec. Palmerah, Kota Jakarta Barat, Daerah Khusus Ibukota Jakarta , Jakarta Barat, Indonesia, 11480

The City Tower

12F, Jl. M.H. Thamrin No.81, Dukuh Atas, Menteng, Kec. Menteng, Kota Jakarta Pusat, Daerah Khusus Ibukota , Jakarta Pusat, Indonesia, 10310

Subcategories (4)

Image for AWS IoT category
AWS IoT
Image for AWS Lambda category
AWS Lambda
Image for CloudFormation category
CloudFormation
Image for Amazon DynamoDB category
Amazon DynamoDB

Explore Our Courses

AWS Cloud Administrator Certification

 35 Hours
Pelatihan langsung yang dipimpin instruktur di Jakarta (online atau di lokasi) ini ditujukan untuk administrator sistem tingkat pemula hingga menengah dan profesional TI yang ingin mendapatkan pengalaman langsung dalam mengelola layanan cloud AWS dan mempersiapkan diri untuk AWS Certified Administrator SysOps - Ujian asosiasi. Pada akhir pelatihan ini, peserta akan mampu:
  • Siapkan dan konfigurasikan layanan dan sumber daya AWS dengan aman.
  • Kelola identitas pengguna, izin, dan akses ke sumber daya AWS.
  • Rancang dan terapkan sistem yang skalabel, sangat tersedia, dan toleran terhadap kesalahan di AWS.
  • Menerapkan dan mengelola aliran data ke dan dari AWS.
  • Optimalkan penggunaan layanan AWS untuk memastikan pengoperasian dan manajemen biaya yang efisien.
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AWS Security Audit

 21 Hours
AWS Security Audit is a process of reviewing the security configuration and practices of an AWS account and its resources. The purpose of an audit is to identify and address any potential vulnerabilities, risks, or gaps in compliance with security standards and best practices.This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level IT professionals who wish to learn how to conduct an AWS security audit effectively and efficiently.By the end of this training, participants will be able to:
  • Understand the core concepts and benefits of AWS security audit.
  • Use AWS tools and services to perform an AWS security audit.
  • Analyze and interpret the audit results and recommendations.
  • Implement the audit findings and remediate the issues.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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AWS Financial Management for Builders

 21 Hours
AWS Financial Management refers to the suite of tools and practices used to manage and optimize costs within the Amazon Web Services (AWS) cloud platform. This instructor-led, live training (online or onsite) is aimed at intermediate-level cloud architects and developers who wish to gain the knowledge and tools necessary to efficiently manage and optimize AWS costs, aligning cloud spending with business objectives. By the end of this training, participants will be able to:
  • Understand how AWS pricing works and how different services contribute to overall costs.
  • Learn how to implement cost-saving measures, utilize reserved instances, and optimize resource usage.
  • Develop skills to create, manage, and adhere to budgets within the AWS framework.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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AWS Cloud Security

 21 Hours
AWS Cloud Security refers to the practices, tools, and policies designed to protect data, applications, and resources hosted on Amazon Web Services (AWS) cloud infrastructure. This instructor-led, live training (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and skills required to secure Amazon Web Services (AWS) environments effectively. By the end of this training, participants will be able to:
  • Understand the core concepts of AWS Cloud Security and its importance in a cloud environment.
  • Implement effective access controls, authentication mechanisms, and multi-factor authentication to secure AWS resources.
  • Define and enforce security policies and monitor AWS resources.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Developing Serverless Solutions on AWS

 21 Hours
Amazon Web Services (AWS) adalah platform komputasi awan oleh Amazon yang menyediakan berbagai layanan pada infrastruktur awan global. Platform tersebut termasuk AWS Lambda yang memungkinkan pengguna untuk membangun, menyebarkan, dan memelihara aplikasi tanpa perlu menyediakan server.Pelatihan langsung yang dipandu instruktur ini (online atau di tempat) ditujukan untuk pengembang yang ingin membangun aplikasi tanpa server menggunakan layanan di platform tanpa server AWS.Pada akhir pelatihan ini, peserta akan dapat:
    Terapkan praktik terbaik berbasis peristiwa dalam merancang aplikasi tanpa server menggunakan layanan AWS yang sesuai. Bangun aplikasi tanpa server menggunakan layanan AWS. Pantau, amankan, dan skalakan aplikasi tanpa server di AWS. Manfaatkan berbagai alat pengembang untuk mengonfigurasi dan mengotomatiskan penerapan aplikasi tanpa server. Membuat dan memelihara daftar sumber daya tanpa server yang akan membantu pengembangan aplikasi tanpa server.
Format Kursus
    Kuliah dan diskusi interaktif. Banyak latihan dan latihan. Implementasi langsung di lingkungan lab langsung.
Opsi Penyesuaian Kursus
    Untuk meminta pelatihan khusus untuk kursus ini, silakan hubungi kami untuk mengaturnya.
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Kubernetes on AWS

 14 Hours
EKS is a self-managed Kubernetes-as-a-service offering from AWS. EKS is fully scalable and customizable and allows a Kubernetes deployment to mimic and/or integrate with an existing on-premise Kubernetes setup. In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on EKS.  By the end of this training, participants will be able to:
  • Configure and manage Kubernetes on EKS
  • Migrate an existing Kubernetes environment from on-premise to AWS cloud
  • Integrate Kubernetes with third-party continuous integration (CI) software
  • Ensure high availability and disaster recovery in Kubernetes
  • Understand and adopt the tools available to efficiently manage EKS
Audience
  • Developers
  • System Administrators
  • DevOps Engineers
Format of the Course
  • Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
Note
  • To request a customized training for this course, please contact us to arrange.
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Docker and Kubernetes on AWS

 21 Hours
There are a number of options for deploying Docker and Kubernetes on AWS, including Amazon Elastic Container Service, Amazon ECS for Kubernetes, AWS Fargate, and Amazon EC2. This instructor-led, live training (online or onsite) is aimed at engineers who wish to evaluate each of these services to make an informed decision 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 tools 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.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Amazon Redshift

 21 Hours
Amazon Redshift is a petabyte-scale cloud-based data warehouse service in AWS. In this instructor-led, live training, participants will learn the fundamentals of Amazon Redshift. By the end of this training, participants will be able to:
  • Install and configure Amazon Redshift
  • Load, configure, deploy, query, and visualize data with Amazon Redshift
Audience
  • Developers
  • IT Professionals
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
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Amazon S3 Fundamentals

 14 Hours
Amazon S3 (juga dikenal sebagai Amazon Simple Storage Service) adalah cloud-based, NoSQL, sistem penyimpanan nilai kunci di AWS. Pelatihan ini didorong oleh instruktur, secara langsung (online atau on-site) ditujukan untuk pengembang yang ingin menggunakan Amazon S3 untuk memungkinkan penyimpanan berbasis awan untuk situs web, aplikasi web dan/atau aplikasi mobile mereka. Format Kursus
    Konferensi dan diskusi interaktif. Banyak latihan dan praktek. Pelaksanaan tangan di lingkungan live-lab.
Opsi Customization Kursus
    Untuk meminta pelatihan tersuai untuk kursus ini, silakan hubungi kami untuk mengatur.
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AWS Advanced Architecture

 28 Hours
AWS Advanced Architecture refers to the design, setup and deployment of enterprise infrastructure and applications on AWS. This instructor-led, live training (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.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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AWS Architect Certification

 21 Hours
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.
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Amazon Web Services (AWS) CodePipeline

 7 Hours
Amazon Web Services (AWS) CodePipeline is a delivery service that developers can use to automate software release processes. CodePipeline helps in managing and configuring the continuous changes in different software release stages. This instructor-led, live training (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. Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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AWS DevOps Engineers

 21 Hours
Audience: Cloud engineers, Solution architects, Centre of excellence team, Window server administrators, Unix/Linux administrator, Storage administrators, network administrators, Virtualization administrators Course Objectives: This course is designed to teach you how to:
  • Use the principal concepts and practices behind the DevOps methodology
  • Design and implement an infrastructure on AWS that supports one or more DevOps development projects
  • Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
  • Use AWS CodeCommit and understand the array of options for enabling a Continuous Integration environment on AWS
  • Use AWS CodePipeline to design and implement a Continuous Integration and Delivery pipeline on AWS
  • Implement several common Continuous Deployment use cases using AWS technologies, including blue/green deployment and A/B testing
  • Distinguish between the array of application deployment technologies available on AWS (including AWS CodeDeploy, AWS Opsworks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry), and decide which technology best fits a given scenario
  • Fine tune the applications you deliver on AWS for high performance and use AWS tools and technologies to monitor your application and environment for potential issues
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AWS Developer Associate

 28 Hours
This 4 day course will provide: 
  • An understanding of the Core AWS services, uses, and basic architecture best practices.
  • Proficiency in designing, developing, and deploying cloud-based solutions using AWS.
  • Experience with developing and maintaining applications written for Amazon Simple Storage Service, Amazon DynamoDB, Amazon Simple Queue Service, Amazon Simple Notification Service, Amazon Simple Workflow Service, AWS Elastic Beanstalk, and AWS CloudFormation.
Audience:Cloud engineers, Centre of excellence team,  Window server administrators, Unix/Linux administrator, Storage administrators, Network administrators , Virtualization administrators.On Completion of this training programme participants should able to deploy and use AWS services from a Developer standpoint.
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Amazon ECS (AWS ECS)

 14 Hours
Amazon Elastic Container Service (Amazon ECS or AWS ECS) is a container orchestration service for running containerized applications on AWS. This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Amazon ECS to deploy and scale 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.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Amazon EKS (AWS EKS)

 14 Hours
Amazon Elastic Container Service for Kubernetes (Amazon EKS, or AWS EKS) is a service for running Kubernetes on AWS without having to install and operate Kubernetes yourself. This instructor-led, live training (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.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
Read more...

Core Hybrid Cloud Functionalities with AWS Outposts

 21 Hours
AWS Outposts is a hybrid cloud solution that extends the infrastructure of Amazon Web Services to on-premise environments. What sets it apart from other hybrid designs is the integration of both its own local database services and public cloud resources. AWS Outposts, along with its native tools and features, helps its users achieve low-latency and secure data processing that accommodates modern enterprise applications. This instructor-led, live training (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.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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AWS: A Hands-on Introduction to Cloud Computing

 7 Hours
This instructor-led, live training provides an overview of AWS products, services and solutions. It is aimed at individuals and teams who are:
  • evaluating/preparing for an initial deployment of their IT infrastructure on AWS.
  • evaluating/preparing to migrate their existing IT infrastructure to the AWS public cloud.
By the end of this training, participants will have a clear understanding of the principal components that make up Amazon's cloud offering. The hands-on exercises, discussions and in-class deployments will provide participants with the practice and feedback they need to feel comfortable and prepared to carry out their own live deployments to AWS.
Format of the Course
  • The training will be interactive and includes hands-on lab activities and live implementation.
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Amazon Web Services (AWS) RoboMaker

 21 Hours
Amazon Web Services (AWS) RoboMaker adalah sumber, awan yang membantu pengguna untuk menciptakan dan memasukkan aplikasi robot. AWS RoboMaker meningkatkan sistem operatif Robot (ROS) dengan awannya, pelajar mesinnya, memeriksa, dan layanan simulasi.Latihan yang diberikan oleh instruktor, hidup (online atau on site) ini bertujuan untuk pembangun yang ingin memainkan, konfigurasi, dan mengatur kemampuan AWS RoboMaker untuk menciptakan, simulasi, dan memasukkan aplikasi untuk robot dan kendaraan dan perangkat autonomi.Pada akhir latihan ini, para penyebaran akan bisa menggunakan AWS RoboMaker untuk membina, simulasi, memanfaatkan, mengendalikan, ujian, dan monitor aplikasi robot.Format Course
    Ceramah interaktif dan diskusi. Banyak latihan dan latihan. Implementasi tangan dalam lingkungan live-lab.
Pilihan Kusuasi Kursus
    Untuk meminta pelatihan yang dipakai untuk kursus ini, silakan menghubungi kita untuk mengatur.
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Amazon Web Services (AWS) SageMaker

 21 Hours
Amazon Web Services (AWS) SageMaker is a cloud machine learning service that lets developers build, train, and deploy machine learning models quickly at any scale. This instructor-led, live training (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.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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AWS Technical Essentials

 7 Hours
AWS Technical Essentials refers to the foundational concepts behind cloud computing, storage, and networking on AWS. This instructor-led, live training (online or onsite) is aimed at technical persons who wish to understand AWS products and services 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.
  • 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.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Creating a CDN with Amazon CloudFront

 14 Hours
Amazon CloudFront is a CDN (content delivery network) service in AWS. It consists of a globally-distributed network of proxy servers that cache content to improve the download speed for users in different locations. This instructor-led, live training (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.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Kubeflow on AWS

 28 Hours
Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is a machine learning library and Kubernetes is an orchestration platform for managing containerized applications. This instructor-led, live training (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.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Terraform on AWS

 21 Hours
Amazon Web Services (AWS) provides infrastructure for building applications in the cloud. Terraform, created by Hashicorp, is a tool for managing that infrastructure. The combination of AWS and Terraform make managing highly complex, production-grade servers and applications practical, efficient, and even enjoyable. This instructor-led, live training (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.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
Read more...

Advanced AWS Lambda

 14 Hours
AWS Lambda is a compute service that allows developers to write and run code without having to spin up containers and virtual machines, maintain storage, or procure the resources for running the code at scale. This instructor-led, live training (online or onsite) is aimed at developers who wish to integrate AWS Lambda functions with services such as API Gateway, Kinesis Streams, etc. The training also 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 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 an AWS Lambda application.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
Read more...

AWS Lambda for Developers

 14 Hours
AWS Lambda is a "serverless" computing platform that allows engineers to create a small function, configure it in AWS console, and execute it without needing to provision servers—paying only for the resources used during the execution. This instructor-led, live training (online or onsite) 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.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
  • To learn more about AWS Lambda, please visit: https://docs.aws.amazon.com/lamda
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AWS IoT Core

 14 Hours
This instructor-led, live training (online or onsite) 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. Format of the course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • Exercises will be based on any of a number of languages and SDKs supported by AWS IoT (C, Java, JavaScript, Python, Arduino Yún, iOS, Android, etc.). To request a specific language or SDK, please contact us to arrange.
  • To learn more about AWS IoT Core, please visit: https://aws.amazon.com/iot-core/
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Amazon Web Services (AWS) IoT Greengrass

 21 Hours
Amazon Web Services (AWS) Greengrass adalah sumber terbuka, layanan awan yang membantu pengguna menciptakan dan menyediakan Internet of Things (IoT) aplikasi pada perangkat di rumah, mobil, rumah sakit, bisnis, dan lebih banyak. AWS IoT Greengrass menyediakan kalkulasi lokal, berita berita, sinkronisi, manager data, dan kemampuan pembelajaran mesin untuk mengeluarkan perangkat dengan cara yang aman dan kos efikas.Latihan yang dipelajari, digunakan dalam pelatihan hidup ini (dialin atau di situ) bertujuan kepada penyiar yang ingin memainkan, konfigurasi, dan mengatur AWS IoT Kemampuan Greengrass untuk menciptakan aplikasi untuk berbagai perangkat.Pada akhir latihan ini, para penyebaran akan bisa menggunakan AWS IoT Greengrass untuk membina, memanfaatkan, mengendalikan, aman, dan memeriksa aplikasi pada perangkat inteligen.Format Course
    Ceramah interaktif dan diskusi. Banyak latihan dan latihan. Implementasi tangan dalam lingkungan live-lab.
Pilihan Kusuasi Kursus
    Untuk meminta pelatihan yang dipakai untuk kursus ini, silakan menghubungi kita untuk mengatur.
Read more...

Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「8 Hours Remote」

 8 Hours
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.
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Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」

 4 Hours
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
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Testimonials (10)

The general topic itself

- Verizon Connect
Course - Amazon Redshift

The trainer is very well prepared, you have enough time to finish each assignment. Among the best trainings I have attended.

Ana - Ness Digital Engineering
Course - AWS Technical Essentials

I liked how well organized the trainer was and also how well the material was structured and presented.

Ana - Ness Digital Engineering
Course - AWS: A Hands-on Introduction to Cloud Computing

Sangat disayangkan beberapa waktu hilang karena masalah dengan mesin virt pada hari pertama.

Przemek - EduBroker Sp z oo

Machine Translated

The docker ready-to-use environment image. The balance between lectures and exercises.

Aurélien Petit - Prostep sp. z o. o.
Course - AWS DevOps Engineers

Sounds knowledgeable, and interacts with his leaners

Shuko Ndhlovu - BMW
Course - AWS Developer Associate

Concepts learnt and how to set up the k8 clusters

Sekgwa Ramatshosa - Vodacom SA
Course - Kubernetes on AWS

Free atmosphere and agenda flexibility

Marcin Prewo - GE Medical Systems Polska Sp. Z O.O.
Course - AWS Lambda for Developers

IOT applications

Palaniswamy Suresh Kumar - Makers' Academy
Course - Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」

Showing the different features of AWS and help the audience in case something doesn't work properly.

Issam IEBOUBEN - HSBC Service Delivery (Polska) Sp. z o o.
Course - AWS Architect Certification

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