日本のアマゾン・ウェブ・サービス（AWS）トレーニング

This instructor-led, live training in 日本 (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.

This workshop prepares candidates for the AWS Certified Solutions Architect exam by mapping exam objectives to practical knowledge and hands-on scenarios.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level cloud practitioners who wish to consolidate architect-level knowledge, practise exam-style questions, and build confidence for certification.

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

• Map AWS services and architectural patterns to exam domains and objectives.
• Design resilient, high-performing, secure, and cost-optimized architectures on AWS.
• Apply best practices from the Well-Architected Framework to real-world scenarios.
• Approach and solve exam-style multiple-choice and scenario questions with effective strategies.
• Identify personal study gaps and create a focused preparation plan for the certification exam.

Format of the Course

• Interactive lecture and domain mapping to the official exam blueprint.
• Hands-on lab demonstrations and guided architecture design exercises.
• Timed practice exams, question walkthroughs, and test-taking strategies.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Migrating to AWS is the process of assessing, planning, and moving applications, data, and infrastructure from on-premises or other clouds into AWS using proven tools, patterns, and migration services.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals and cloud practitioners who wish to plan and execute safe, cost-effective migrations to AWS with minimal business disruption.

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

• Assess application portfolios and define migration strategies and waves.
• Use AWS discovery tools and migration services (MGN, DMS) to perform lift-and-shift and data migrations.
• Design network, security, and transfer architectures to support migration activities.
• Execute test cutovers, validate migrated workloads, and implement rollback plans.
• Optimize migrated workloads for cost, performance, and operational readiness.

Format of the Course

• Interactive lecture and discussion.
• Instructor-led demonstrations in the AWS console and CLI.
• Hands-on labs and a capstone migration scenario.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AWS Migration Essentials is a practical course that covers the core steps, tools, and best practices for migrating on-premises applications, servers, and databases to AWS.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals and cloud practitioners who wish to assess, plan, execute, and validate migrations to AWS with minimal disruption to business operations.

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

• Define a migration strategy and assess workloads for cloud readiness using discovery tools and migration frameworks.
• Use AWS Application Migration Service (MGN) to perform lift-and-shift server migrations safely and efficiently.
• Plan and execute database migrations using AWS Database Migration Service with minimal downtime.
• Design network, security, and data transfer architectures to support migration and cutover activities.
• Validate migrated workloads, implement rollback plans, and apply post-migration optimization and cost controls.

Format of the Course

• Interactive lecture and discussion.
• Instructor-led demonstrations in the AWS console and CLI.
• Hands-on labs and a capstone migration scenario.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AWS (Amazon Web Services) is a comprehensive cloud platform offering compute, storage, database, networking, security, and managed services to build scalable and resilient architectures.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level solutions architects and cloud engineers who wish to design secure, cost-effective, and well-architected solutions on AWS.

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

• Design scalable, highly available architectures on AWS using best-practice patterns.
• Choose appropriate AWS services for compute, storage, database, and networking requirements.
• Apply security, identity, and compliance controls in multi-account environments.
• Optimize cost and performance while maintaining operational excellence.
• Produce high-level and detailed architecture diagrams and migration plans.

Format of the Course

• Interactive lecture and architectural discussion.
• Instructor-led console demonstrations and diagrams.
• Hands-on design workshops and scenario-based exercises.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AWS is a comprehensive cloud platform offering services for compute, storage, networking, monitoring, and automation that support robust, scalable, and resilient operations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level operations and platform engineers who wish to operate, monitor, automate, and run production workloads on AWS reliably and securely.

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

• Operate and monitor AWS workloads using CloudWatch, CloudTrail, and observability best practices.
• Automate infrastructure provisioning and configuration using Infrastructure-as-Code tools such as Terraform and AWS CloudFormation.
• Design and operate CI/CD pipelines, deployment strategies, and release automation for cloud services.
• Implement operational security, identity controls, and runbook-driven incident response.
• Apply cost management, backup, and disaster recovery practices for production cloud environments.

Format of the Course

• Interactive lecture and discussion.
• Instructor-led console and CLI demonstrations.
• Hands-on labs and scenario-based exercises.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AWS is Amazon Web Services, a comprehensive cloud platform offering compute, storage, database, networking, analytics, and managed services that enable organizations to build scalable and cost-effective solutions.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level business and technical stakeholders who wish to understand core AWS services, cloud value propositions, cost models, security basics, and how to align AWS capabilities with organizational objectives.

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

• Explain core AWS services and common cloud architectures.
• Assess the business benefits and cost models of migrating workloads to AWS.
• Identify appropriate AWS services for common business problems (compute, storage, databases, networking, analytics).
• Recognize basic security, compliance, and governance considerations in the AWS cloud.
• Outline a simple migration or cloud adoption plan with high-level cost and risk considerations.

Format of the Course

• Interactive lecture and discussion.
• Instructor-led demonstrations in the AWS console.
• Group exercises and scenario-based workshops.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AWSはAmazonのクラウドコンピューティングプラットフォームで、計算、ストレージ、ネットワーク、アプリケーション統合などの多様なサービスを提供しています。

この講師主導のライブトレーニング（オンラインまたはオンサイト）は、クラウドプロフェッショナルの初心者向けに設計されており、AWSの基礎を実践的に学ぶことができます。

本トレーニング終了後、参加者は以下のことが Able to:

• クラウドコンピューティングの概念とAWSのグローバルインフラストラクチャを理解する。
• AWSで計算、ストレージ、ネットワークサービスを起動し設定する。
• IAMポリシーとセキュリティのベストプラクティスを適用する。
• サービスを統合し、単純なクラウドベースのWebアプリケーションを構築する。

コース形式

• インタラクティブな講義とディスカッション。
• 多数の演習と実践。
• ライブラボ環境での手動実装。

コースカスタマイズオプション

• このコースのカスタマイズされたトレーニングをご希望の場合は、お問い合わせください。

This instructor-led, live training in 日本 (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.

このインストラクター主導のライブトレーニング（オンラインまたはオンサイト）は、AWS Cloud9 とその他の AWS サービスを使用してマイクロサービスを構築およびデプロイする方法を習得したい中級開発者向けです。

このトレーニング終了時には、参加者は以下のことができます：

• マイクロサービス アーキテクチャとその利点を理解する。
• AWS Cloud9 上でマイクロサービスの開発環境を設定する。
• Docker および AWS サービスを使用して、マイクロサービスを構築、テスト、デプロイする。
• マイクロサービスと AWS Lambda、ECS、API Gateway を統合する。
• DevOps の実践を適用して、マイクロサービスのデプロイメントを管理する。

このインストラクター主導の実践的なトレーニング（オンラインまたはオンサイト）は、AWS Cloud9を使用して効率的なデータサイエンスワークフローを構築したい中級レベルのデータサイエンティストとアナリスト向けです。

このトレーニング終了時には、参加者は以下のことをできるようになります：

• AWS Cloud9でのデータサイエンス環境の設定
• Python、R、およびJupyter Notebookを使用してデータ分析を行う
• S3、RDS、RedshiftなどのAWSデータサービスとの統合
• AWS Cloud9を使用した機械学習モデルの開発と展開
• データ分析と処理のためのクラウドベースワークフローの最適化

AWS Cloud Practitioner Essentialsは、AWSクラウドの概念、サービス、セキュリティ、アーキテクチャ、価格設定、およびサポートについて参加者に広範な理解を提供することを目的とした基礎コースです。

このインストラクター主導の実践的なトレーニング（オンラインまたはオンサイト）は、AWSを概念レベルで理解し、将来のAWS学習や認定資格取得に向けて堅固な基盤を構築したい初級専門家向けです。

このトレーニングの終了時には、参加者は次のことができるようになります：

• AWSクラウドの基本的なグローバルインフラストラクチャを説明する。
• 主要なAWSサービスとその一般的な使用事例を説明する。
• AWS内のクラウドセキュリティとコンプライアンスを理解する。
• 価格モデルとサポートプランをナビゲートする。

コース形式

• 対話型の講義とディスカッション。
• ガイド付き実習でのAWSコンソールの実践的な使用。
• AWS試験ガイドに準拠した実践活動と知識チェック。

コースカスタマイズオプション

• 組織の学習目標やクラウド戦略に基づいたカスタマイズされたトレーニングを依頼したい場合は、お問い合わせください。

この講師主導のライブトレーニング（オンラインまたはオンサイト）は、AWS Cloud9 を使用して Python 開発の体験を向上させたい中級レベルの Python 開発者向けです。

このトレーニング終了時には、参加者は以下のことができるようになります：

• AWS Cloud9 のセットアップと構成を設定する。
• AWS Cloud9 IDE のインターフェースと機能を理解する。
• AWS Cloud9 で Python アプリケーションの開発、デバッグ、およびデプロイを行う。
• AWS Cloud9 プラットフォームを使用して他の開発者と協力する。
• 高度なデプロイメントのために AWS Cloud9 を他の AWS サービスと統合する。

This instructor-led, live training in 日本 (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.

This instructor-led, live training in 日本 (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.

This instructor-led, live training in 日本 (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.

このインストラクター主導のライブトレーニング（オンラインまたはオンサイト）は、中級レベルのクラウドアーキテクトや開発者が、AWSコストを効率的に管理および最適化し、クラウド支出を事業目標に合わせるための知識とツールを獲得することを目指しています。

このトレーニングの終了時には、参加者は次のことができるようになります：

• AWSの料金体系を理解し、さまざまなサービスが全体的なコストにどのように貢献するかを把握します。
• コスト削減策を実装し、予約済みインスタンスを使用してリソースの使用を最適化する方法を学びます。
• AWSフレームワーク内で予算を作成、管理し、遵守するスキルを開発します。

This instructor-led, live training in 日本 (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.

このインストラクター主導のライブトレーニング（オンラインまたはオンサイト）は、初心者から中級レベルのIT専門家向けに設計されており、Amazon Web Services (AWS) 環境を効果的に保護するための知識とスキルを習得することを目指しています。

このトレーニング終了時には、参加者は以下のことをできるようになります:

• AWSクラウドセキュリティの基本概念と、クラウド環境におけるその重要性を理解する。
• 効果的なアクセス制御、認証メカニズム、および多要素認証を実装してAWSリソースを保護する。
• セキュリティポリシーを定義し、強化し、AWSリソースを監視する。

This instructor-led, live training in 日本 (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.

This instructor-led, live training in 日本 (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.

This instructor-led, live training in 日本 (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.

EKS（Elastic Kubernetes Service）は、AWS が提供する自己管理型 Kubernetes サービスです。EKS は完全にスケーラブルでカスタマイズ可能であり、既存のオンプレミス Kubernetes 環境を模倣または統合することができます。

このインストラクター主導のライブトレーニングでは、参加者は EKS を使用して本番環境向けのコンテナ環境を設定および管理する方法を学びます。

このトレーニング終了時には、参加者は以下のことができます：

• EKS 上の Kubernetes を構成および管理する
• オンプレミスの Kubernetes 環境を AWS クラウドに移行する
• Kubernetes をサードパーティの継続的インテグレーション (CI) ソフトウェアと統合する
• Kubernetes で高可用性と災害復旧を確保する
• EKS の管理に役立つツールを使用し、採用する方法を理解する

対象者

• 開発者
• システム管理者
• DevOps エンジニア

コース形式

• 講義、ディスカッション、演習とライブラボ環境での実践的な練習の組み合わせ。

注意

• このコースのカスタマイズされたトレーニングを依頼する場合は、お問い合わせください。

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.

This instructor-led, live training in 日本 (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.

Amazon Redshiftは、AWSで提供されるペタバイト規模のクラウドベースデータウェアハウスサービスです。

このインストラクター主導のライブトレーニングでは、参加者はAmazon Redshiftの基礎を学びます。

このトレーニング終了時には、参加者は以下のことができるようになります:

• Amazon Redshiftのインストールと設定
• データのロード、構成、デプロイ、クエリ実行、および可視化

対象者

• 開発者
• IT プロフェッショナル

コースの形式

• 講義、ディスカッション、演習、および実践的な実習を組み合わせた形式

注意事項

• このコースのカスタマイズ版をご希望の場合、お問い合わせください。

This instructor-led, live training in 日本 (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.

This instructor-led, live training in 日本 (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.

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.

This instructor-led, live training in 日本 (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.

This instructor-led, live training in 日本 (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.

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

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.

This instructor-led, live training in 日本 (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.

This instructor-led, live training in 日本 (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.

This instructor-led, live training in 日本 (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.

This instructor-led, live training in 日本 (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.

このインストラクター主導のライブトレーニング（オンサイトまたはリモート）は、開発者がAWS Lambdaを使用してクラウドにサービスやアプリケーションを構築およびデプロイする方法を学ぶことを目的としています。実行環境のプロビジョニング（サーバー、VM、コンテナ、可用性、スケーラビリティ、ストレージなど）について心配することなく、クラウドにサービスやアプリケーションを構築およびデプロイできます。

このトレーニングの終了時には、参加者は以下のことが Able to できるようになります：

• AWS Lambdaで関数を実行するように設定します。
• FaaS（Function as a Service）とサーバーレス開発の利点を理解します。
• AWS Lambda 関数を作成、アップロード、および実行します。
• Lambda関数を異なるイベントソースと統合します。
• Lambdaベースのアプリケーションをパッケージ化、デプロイ、監視、トラブルシューティングします。

This instructor-led, live training in 日本 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.

This instructor-led, live training in 日本 (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.

この講師主導のライブトレーニング（オンラインまたはオンサイト）は、データサイエンティストと開発者が本番環境で使用可能なホスティング環境に機械学習モデルを構築し訓練する方法を学ぶことを目的としています。

このトレーニング終了時には、参加者は以下のことができます：

• ノートブックインスタンスを使用してデータの準備とアップロードを行う。
• 訓練用データセットを使用して機械学習モデルを訓練する。
• 訓練済みモデルをエンドポイントにデプロイし、予測を作成する。

このインストラクター主導のライブトレーニング（オンラインまたはオンサイト）は、AWS 製品とサービスを理解し、組織内で AWS クラウドソリューションを実装する際の適切な決定を行うことを目指す技術者向けです。

このトレーニングの終了時には、参加者は以下ができます：

• AWS が提供する各サービスの役割を特定し理解する。
• AWS に関連する用語と概念を理解する。
• AWS マネジメントコンソールを操作する。
• チームユーザーのアカウントを安全に設定および管理する。
• AWS のサービスを組織の問題と要件にマッチさせる。
• どの AWS サービスを実装するかについて適切な判断を行う。
• 組織向けの包括的なクラウドソリューション戦略を策定する。

このインストラクター主導のライブトレーニング（オンラインまたはオンサイト）は、エンジニアがAWS CloudFormationを使用してAWSクラウドインフラストラクチャの管理を自動化したい方を対象としています。

このトレーニング終了時には、参加者は以下のことができます：

• AWSサービスを使用してインフラストラクチャの管理を開始する。
• 「Infrastructure as Code（IaC）」の原則を理解し、適用する。
• インフラストラクチャの展開の品質を向上させ、コストを削減する。
• YAMLを使用してAWS CloudFormationテンプレートを書く。

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.

This instructor-led, live training in 日本 (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.

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.

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