HI, Honolulu - Waterfront

7 Waterfront Plaza, 500 Ala Moana Blvd. Suite 400, Honolulu, united states, 96813

onolulu business center is located at 7 Waterfront Plaza in the commercial district of Kakako. It sits in the midst of the Waterfront Plaza, a busy cluster of business, retail and restaurant properties. The center is in between Waikiki and downtown Honolulu. Tenants are situated close to the islands largest business areas without all of the traffic. This center is only a few miles from Honolulu International Airport.

HI, Kapolei - Waterfront

7 Waterfront Plaza, 500 Ala Moana Blvd., Suite 400,, Honolulu, united states, 96813

Waterfront Plaza is located along the vibrant Ala Moana Boulevard corridor linking Waikiki, Honolulu's Central Business District, and Honolulu International Airport. It offers convenient access to bus lines and public transportation.

Subcategories (4)

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AWS IoT
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AWS Lambda
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CloudFormation
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Amazon DynamoDB

Explore Our Courses

AI on Amazon Web Services (AWS)

 14 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at intermediate-level IT professionals who wish to learn how to leverage AWS tools and services to build, train, and deploy AI models efficiently.By the end of this training, participants will be able to:
  • Understand the AI/ML services provided by AWS.
  • Be able to set up and manage AI/ML environments on AWS.
  • Gain hands-on experience in building, training, and deploying AI models using Amazon SageMaker.
  • Learn to utilize various AWS AI services for specific use cases.
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Efficient Cloud Infrastructure with AWS Cloud9

 21 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at advanced-level cloud professionals who wish to master cloud infrastructure management and automation using AWS Cloud9 and AWS CDK.By the end of this training, participants will be able to:
  • Set up and configure AWS Cloud9 for infrastructure management.
  • Understand and apply AWS CDK to automate cloud resource provisioning.
  • Design efficient and scalable cloud infrastructure solutions.
  • Optimize cloud resources to improve performance and reduce costs.
  • Implement advanced security and compliance strategies in AWS infrastructure.
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Building Microservices on AWS Cloud9

 21 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at intermediate-level developers who wish to master building and deploying microservices with AWS Cloud9 and other AWS services.By the end of this training, participants will be able to:
  • Understand microservices architecture and its benefits.
  • Set up a microservices development environment on AWS Cloud9.
  • Build, test, and deploy microservices using Docker and AWS services.
  • Integrate AWS Lambda, ECS, and API Gateway with microservices.
  • Apply DevOps practices to manage microservices deployments.
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AWS Cloud9 for Data Science

 28 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at intermediate-level data scientists and analysts who wish to use AWS Cloud9 for streamlined data science workflows.By the end of this training, participants will be able to:
  • Set up a data science environment in AWS Cloud9.
  • Perform data analysis using Python, R, and Jupyter Notebook in Cloud9.
  • Integrate AWS Cloud9 with AWS data services like S3, RDS, and Redshift.
  • Utilize AWS Cloud9 for machine learning model development and deployment.
  • Optimize cloud-based workflows for data analysis and processing.
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Full-Stack Development with AWS Cloud9

 35 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at intermediate-level to advanced-level full-stack developers who wish to utilize AWS Cloud9 to streamline their development workflows.By the end of this training, participants will be able to:
  • Set up and configure AWS Cloud9 for full-stack development.
  • Develop and debug front-end applications using Cloud9.
  • Build and deploy back-end services using AWS Cloud9.
  • Integrate Cloud9 with AWS services for advanced deployments.
  • Collaborate with team members in a cloud-based development environment.
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AWS Cloud9 and Python: A Practical Guide

 14 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at intermediate-level Python developers who wish to enhance their Python development experience using AWS Cloud9.By the end of this training, participants will be able to:
  • Set up and configure AWS Cloud9 for Python development.
  • Understand the AWS Cloud9 IDE interface and features.
  • Write, debug, and deploy Python applications in AWS Cloud9.
  • Collaborate with other developers using the AWS Cloud9 platform.
  • Integrate AWS Cloud9 with other AWS services for advanced deployments.
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Introduction to AWS Cloud9 for Beginners

 14 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at beginner-level developers who wish to set up and use AWS Cloud9 for cloud-based projects.By the end of this training, participants will be able to:
  • Understand the AWS Cloud9 environment and its components.
  • Set up their own AWS Cloud9 development workspace.
  • Develop and run simple applications within AWS Cloud9.
  • Familiarize themselves with the collaboration features of AWS Cloud9.
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AWS Cloud Administrator Certification

 35 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at beginner-level to intermediate-level system administrators and IT professionals who wish to gain hands-on experience in managing AWS cloud services and prepare for the AWS Certified SysOps Administrator - Associate exam.By the end of this training, participants will be able to:
  • Set up and configure AWS services and resources securely.
  • Manage user identities, permissions, and access to AWS resources.
  • Design and deploy scalable, highly available, and fault-tolerant systems on AWS.
  • Implement and manage data flow to and from AWS.
  • Optimize AWS service usage to ensure efficient operation and cost management.
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AWS Security Audit

 21 Hours
This instructor-led, live training in Hawaii (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.
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AWS Financial Management for Builders

 21 Hours
This instructor-led, live training in Hawaii (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.
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AWS Cloud Security

 21 Hours
This instructor-led, live training in Hawaii (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.
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Mastering DevOps with AWS Cloud9

 21 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.By the end of this training, participants will be able to:
  • Set up and configure AWS Cloud9 for DevOps workflows.
  • Implement continuous integration and continuous delivery (CI/CD) pipelines.
  • Automate testing, monitoring, and deployment processes using AWS Cloud9.
  • Integrate AWS services such as Lambda, EC2, and S3 into DevOps workflows.
  • Utilize source control systems like GitHub or GitLab within AWS Cloud9.
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Developing Serverless Solutions on AWS

 21 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at developers who wish to build serverless applications using services in the AWS serverless platform.By the end of this training, participants will be able to:
  • Implement event-driven best practices in designing serverless applications using appropriate AWS services.
  • Build serverless applications using AWS services.
  • Monitor, secure, and scale serverless applications on AWS.
  • Utilize different developer tools to configure and automate serverless application deployment.
  • Create and maintain a list of serverless resources that will aid in serverless application development.
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Developing Serverless Applications on AWS Cloud9

 14 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at intermediate-level professionals who wish to learn how to effectively build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.By the end of this training, participants will be able to:
  • Understand the fundamentals of serverless architecture.
  • Set up AWS Cloud9 for serverless application development.
  • Develop, test, and deploy serverless applications using AWS Lambda.
  • Integrate AWS Lambda with other AWS services such as API Gateway and S3.
  • Optimize serverless applications for performance and cost efficiency.
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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
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.
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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.
Read more...

Amazon S3 Fundamentals

 14 Hours
This instructor-led, live training in Hawaii (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.
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AWS Advanced Architecture

 28 Hours
This instructor-led, live training in Hawaii (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.
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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
This instructor-led, live training in Hawaii (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.
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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
This instructor-led, live training in Hawaii (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.
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Amazon EKS (AWS EKS)

 14 Hours
This instructor-led, live training in Hawaii (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.
Read more...

Core Hybrid Cloud Functionalities with AWS Outposts

 21 Hours
This instructor-led, live training in Hawaii (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.
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AWS: A Hands-on Introduction to Cloud Computing

 7 Hours
This instructor-led, live training in Hawaii 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.
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Amazon Web Services (AWS) RoboMaker

 21 Hours
This instructor-led, live training in Hawaii (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.
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Amazon Web Services (AWS) SageMaker

 21 Hours
This instructor-led, live training in Hawaii (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.
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AWS Technical Essentials

 7 Hours
This instructor-led, live training in Hawaii (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.
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Creating a CDN with Amazon CloudFront

 14 Hours
This instructor-led, live training in Hawaii (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.
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Kubeflow on AWS

 28 Hours
This instructor-led, live training in Hawaii (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.
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Terraform on AWS

 21 Hours
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.
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Amazon DynamoDB for Developers

 14 Hours
This instructor-led, live training in Hawaii (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.
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Advanced Amazon Web Services (AWS) CloudFormation

 7 Hours
This instructor-led, live training in Hawaii (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.
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AWS CloudFormation

 7 Hours
This instructor-led, live training in Hawaii (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.
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AWS IoT Core

 14 Hours
This instructor-led, live training in Hawaii (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.
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Amazon Web Services (AWS) IoT Greengrass

 21 Hours
This instructor-led, live training in Hawaii (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.
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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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Advanced AWS Lambda

 14 Hours
This instructor-led, live training in Hawaii (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.
Read more...

AWS Lambda for Developers

 14 Hours
This instructor-led, live training in Hawaii (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.
Read more...

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
Read more...

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Testimonials (10)

Trainer had good grasp of concepts

Josheel - Verizon Connect

Course - Amazon Redshift

The practice part.

Radu - Ness Digital Engineering

Course - AWS: A Hands-on Introduction to Cloud Computing

Into class that dove deeper than expected into the material. While I am not proficient in the subject matter, I am now equipped with an awareness of how the process works.

Jon - U.S. Geological Survey

Course - AWS Technical Essentials

The training was more practical

Siphokazi Biyana - Vodacom SA

Course - Kubernetes on AWS

The trainer knew exactly what they were speaking about.

Madumetsa Msomi - BMW

Course - AWS DevOps Engineers

There were lots of hands on examples and the walkthroughs we carefully explained.

Jeffrey Ronay - Federal Reserve Bank of SF

Course - Terraform on AWS

All good, nothing to improve

Ievgen Vinchyk - 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」

I liked getting to understand the breadth of the services offered by AWS and gaining a better understanding of their pricing model for each of those services.

William Crowdis - MDA Systems Ltd.

Course - AWS Developer Associate

Gabriel was very organized and prepared for this training. He answered all questions and clarify the AWS notions and architecture. Great job, Gabriel.

Mircea Turcu

Course - AWS Architect Certification

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