Amazon Web Services (AWS) RoboMakerのトレーニングコース

DynamoDB is a NoSQL database service offered by AWS as part of the AWS portfolio. It is a key-valued and document based database that delivers fast performance.

This instructor-led, live training (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.

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.

Amazon Web Services (AWS) CloudFormation is a service that simplifies infrastructure management by treating infrastructures as code. CloudFormation templates can be used to manage and provision AWS resources.

This instructor-led, live training (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.

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.

Managing an AWS environment is a complex and error-prone job. CloudFormation enables the provisioning of a cloud environment using text based YAML templates. 

This instructor-led, live training (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 CloudFormation Templates using YAML.

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.

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/

Amazon Web Services (AWS) Greengrass is an open source, cloud service that helps users create and deploy Internet of Things (IoT) applications on devices in homes, cars, hospitals, businesses, and more. AWS IoT Greengrass provides local compute, messaging, sync, data management, and machine learning inference capabilities to edge devices in a secure and cost-efficient way.

This instructor-led, live training (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.

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.

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

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.

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.

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

Aerial Robotics is the technology that deals with the designing and modeling of drones, also known as Unmanned Aerial Vehicles (UAVs) and quadrotors. It solves the challenge of autonomous and intelligent flight for various industrial applications.

This instructor-led, live training (online or onsite) is aimed at engineers and developers who wish to design, develop, and test aerial vehicles through exploring various aerial robotics concepts and tools.

By the end of this training, participants will be able to:

• Understand the basics of aerial robotics.
• Model and design UAVs and quadrotors.
• Learn about the basics of flight control and motion planning.
• Learn how to use different simulation tools for aerial robotics.

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.

Drones (also known as unmanned aerial vehicles or UAVs) are unmanned devices that fly autonomously to complete various tasks in many fields and industries. Drone technology's efficiency and technical capabilities make it useful in many practical applications, such as rescue missions and terrain mapping for agriculture.

This instructor-led, live training (online or onsite) is aimed at anyone who wishes to understand the basics of UAS and apply drone technology in planning, operations, management, and analysis for various industries.

By the end of this training, participants will be able to:

• Gain fundamental knowledge of UAVs and drones.
• Learn about drone classifications and uses to find suitable UAVs that address different needs.
• Evaluate delivery options and regulations for the convenient operation of drones.
• Understand the risks and ethics of using drone technology.
• Explore future uses and capabilities of UAVs including integration with other technologies.

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.

Drones, or unmanned aerial vehicles (UAVs), are becoming prominent devices for optimizing farming and agricultural methods. Drone technology provides efficient solutions to agricultural needs, such as reduced time and costs in acquiring crop data, and better sustainability.

This instructor-led, live training (online or onsite) is aimed at agriculture technicians, researchers, and engineers who wish to apply aerial robotics in optimizing data collection and analysis for agriculture.

By the end of this training, participants will be able to:

• Understand drone technology and regulations related to it.
• Deploy drones to acquire, process, and analyze crop data to improve farming and agricultural methods.

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.

ArduPilot is an open source, unmanned vehicle Autopilot Software Suite for controlling drones.

This instructor-led, live training (online or onsite) is aimed at developers and technical persons who wish to design and develop an unmanned drone.

By the end of this training, participants will be able to:

• Setup a suitable development environment.
• Select and apply the right tools for programming a drone.
• Understand and configure the firmware, middleware and API stack.
• Test and debug their code using drone simulation software.

Format of the course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• This training is based on the open source autopilot software: ArduPilot.
• To request a customized training for this course, please contact us to arrange.

ROS stands for Robot Operating System. It is an open source framework that is used to aid in the development of advanced robots.

In this instructor-led, live training, participants will learn how to start using ROS for their robotics projects through the use of robotics visualization and simulation tools.

By the end of this training, participants will be able to:

• Understand the basics of ROS.
• Learn how to create a basic robotics project using ROS.
• Learn how to use different tools for robotics including simulation and visualization tools.

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

ROS (Robot Operating System) is a framework that provides tools and libraries for developing robotic applications. Python is one of the supported programming languages in ROS. A mobile robot is a robot that can move autonomously or semi-autonomously in an environment.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.

By the end of this training, participants will be able to:

• Set up a development environment that includes ROS, Python, and a mobile robot platform.
• Create and run ROS nodes, topics, services, and actions using Python.
• Use ROS tools and utilities to monitor and debug ROS applications.
• Use ROS packages and libraries to perform common tasks for mobile robots.
• Integrate ROS with other frameworks and tools.
• Troubleshooting and debugging ROS 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.