Developing Intelligent Bots with Azureのトレーニングコース

Microsoft Azure Service Fabric (ASF) is a platform as a service (PaaS) used for deploying scalable microservices-based cloud applications. 

This instructor-led, live training (online or onsite) is aimed at developers who wish to learn how to build microservices on Microsoft Azure Service Fabric (ASF).

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

• Use ASF as a platform for building and managing microservices.
• Understand key microservices programming concepts and models.
• Create a cluster in Azure.
• Deploy microservices on premises or in the cloud.
• Debug and troubleshoot a live microservice 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.
• To learn more about Service Fabrice, please see: https://github.com/Microsoft/service-fabric

Azure Machine Learning (AML) is a pay-as-you-go, cloud-based environment for training, deploying, automating, managing, and tracking ML models.

This instructor-led, live training (online or onsite) is aimed at engineers who wish to use Azure ML's drag-and-drop platform to deploy Machine Learning workloads without having to purchase software and hardware and without having to worry about maintenance and deployment.

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

• Write highly-accurate machine learning models using Python, R, or zero-code tools.
• Leverage Azure's available data sets and algorithms to train and track machine learning and deep-learning models.
• Use Azures interactive workspace to collaboratively develop ML models.
• Choose from different Azure-supported ML frameworks such as PyTorch, TensorFlow, and scikit-learn.

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.

In this instructor-led, live training, participants will learn the fundamental concepts, components, and services of Microsoft Azure as they step through the creation of a cloud application.

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

• Understand the basics of Microsoft Azure
• Understand the different Azure tools and services
• Learn how to use Azure for building cloud applications
• Learn how to Secure Azure
• Learn how to Managing and Monitoring VM in Azure
• Learn how to Managing VNets

Format of the Course

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

This training permits delegates to improve their Microsoft Azure solution design skills.

After this training the delegate will understand the features and capabilities of Azure services, to be able to identify trade-offs, and make decisions for designing public and hybrid cloud solutions.

During training the appropriate infrastructure and platform solutions to meet the required functional, operational, and deployment requirements through the solution life-cycle will be defined.

Azure is a comprehensive set of cloud services that enables developers, IT professionals, and organizations to build, deploy, and operate applications and infrastructure services. The Azure Command Line Interface (CLI) is an open source, cross-platform command line tool that makes creating and managing Azure resources easier.

In this instructor-led, live training, participants will learn how to get started using the Azure CLI.

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

• Understand the basics of using the Azure CLI
• Learn techniques for managing resources using the Azure CLI
• Apply their learnings to practical real-world problems involving virtual machines, resource management, storage accounts, web apps, and SQL databases
• Automate their API using Azure service principals

Audience

• Developers
• IT Professionals
• Technicians
• DevOps E

Format of the course

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

DevOps is a practice that advances the collaboration of development (Dev) and operations (Ops) processes. Azure DevOps is a set of tools and services by Microsoft that provides a platform for continuous integration and delivery of software. It supports teams by implementing efficiency across all software development tasks using its DevOps-based solutions, such as Boards, Pipelines, and more.

This instructor-led, live training (online or onsite) is aimed at DevOps engineers, developers, and project managers who wish to utilize Azure DevOps to build and deploy optimized enterprise applications faster than traditional development approaches.

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

• Understand the fundamental DevOps vocabulary and principles.
• Install and configure the necessary Azure DevOps tools for software development.
• Utilize Azure DevOps tools and services to continuously adapt to the market.
• Build enterprise applications and evaluate current development processes upon Azure DevOps solutions.
• Manage teams more efficiently and accelerate software deployment time.
• Adopt DevOps development practices 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.

Azure Machine Learning is a cloud based platform for building, training, and deploying machine learning models. Azure Machine Learning provides users the ability to create machine learning solutions without a single line of code.

This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use Azure Machine Learning to build end-to-end machine learning models for predictive analysis.

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

• Build machine learning models with zero programming experience.
• Create predictive algorithms with Azure Machine Learning.
• Deploy production ready machine learning algorithms.

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.

Microsoft Azure is a cloud platform for building, scaling, and deploying applications and services. Users can Implement security in Azure with an architectural approach to secure cloud workloads.

This instructor-led, live training (online or onsite) is aimed at security administrators who wish to secure Azure workloads.

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

• Administrate host security, network security, and more.
• Set up storage and database security in Azure.
• Implement security monitoring using Azure resources.
• Prevent malicious cyber attacks on data and infrastructures.

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.

Azure is a cloud computing service platform by Microsoft that offers a wide collection of services to access and manage cloud resources and services.

This instructor-led, live training (online or onsite) is aimed at security administrators who wish to learn how to configure Azure cloud security to secure workloads running in Azure.

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

• Configure host and network security.
• Configure Azure advanced security options.
• Use Azure to secure cloud computing workloads.
• Use endpoint protection services security against malware and viruses.
• Secure container workloads that are running in Azure.

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.

Azure Data Lake Storage Gen2 is a comprehensive and highly scalable data storage service offered by Microsoft Azure that provides a platform for analytics workloads.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data engineers who wish to learn how to use Azure Data Lake Storage Gen2 for effective data analytics solutions.

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

• Understand the architecture and key features of Azure Data Lake Storage Gen2.
• Optimize data storage and access for cost and performance.
• Integrate Azure Data Lake Storage Gen2 with other Azure services for analytics and data processing.
• Develop solutions using the Azure Data Lake Storage Gen2 API.
• Troubleshoot common issues and optimize storage strategies.

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.

Azure is a comprehensive set of cloud services that enables developers, IT professionals, and organizations to build, deploy, and operate applications and infrastructure services.

I this instructor-led, live training (onsite or remote) participants will learn the fundamental concepts, components, and services of Microsoft Azure as they step through the creation of a sample cloud application.

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

• Understand the basics of Microsoft Azure
• Understand the different Azure tools and services
• Learn how to use Azure for building cloud applications

Audience

• Developers
• IT Professionals
• Engineers
• Business Managers

Format of the course

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

Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, allowing them to communicate with each other and exchange data via network communications, cloud computing, and data capture. Azure is a comprehensive set of cloud services which offers an IoT Suite consisting of preconfigured solutions that help developers accelerate development of IoT projects.

In this instructor-led, live training, participants will learn how to develop IoT applications using Azure.

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

• Understand the fundamentals of IoT architecture
• Install and configure Azure IoT Suite
• Learn the benefits of using Azure in programming IoT systems
• Implement various Azure IoT services (IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, IoT Device Management)
• Build, test, deploy, and troubleshoot an IoT system using Azure

Audience

• Developers
• Engineers

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.

Kubeflow is a framework for running Machine Learning workloads on Kubernetes. TensorFlow is one of the most popular machine learning libraries. 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 Azure cloud.

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

• Install and configure Kubernetes, Kubeflow and other needed software on Azure.
• Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
• 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.

このインストラクター主導の日本でのライブトレーニング（オンラインまたはオンサイト）では、参加者はAKSでKubernetesを使用して本番規模のコンテナ環境をセットアップおよび管理する方法を学習します。

このトレーニングが終了するまでに、参加者は次のことができるようになります。

• AKSでKubernetesを構成および管理します。
• Kubernetesクラスターをデプロイ、管理、スケーリングします。
• コンテナー化された（Docker）アプリケーションをAzureにデプロイします。
• 既存のKubernetes環境をオンプレミスからAKSクラウドに移行します。
• 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します。
• Kubernetesで高可用性とディザスタリカバリを確保します。

MLOps (Machine Learning Operations) is the practice of integrating data science and operations to help manage the ML lifecycle. MLOps provides the ability to automate the reproduction of machine learning model development and training.

This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use Azure Machine Learning and Azure DevOps to facilitate MLOps practices.

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

• Build reproducible workflows and machine learning models.
• Manage the machine learning lifecycle.
• Track and report model version history, assets, and more.
• Deploy production ready machine learning models anywhere.

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.