Nanjing, Jinling - Asia Pacific Tower

8 Floor, 8/F, Asia Pacific Building, Jinling Hotel, No.2 Hanzhong Road, Xinjiekou, Gulou District, Nanjing, China, 210005

Standing in the heart of city's bustling Xin Jie Kou CBD, Regus business centre is on the 8th floor of Jinling Hotel Asia Pacific Tower which is recognized as a new commercial landmark of Gulou district. This urban complex contains Grand-A offices floors, 5-star hotel, Executive Lounge, restaurants and SPA. It attracts many multinational corporations such as IBM, HP, Citibank, Deloitt, Siemens, etc. for its seamless connection to Metro Line 1 and Line 2 and having local tourist attractions nearby. Nanjing, the capital of Jiangsu Province in Southeast China renowned for its ancient heritage of ten dynasties and spectacular scenery, has now become one of China's most thriving metropolises.

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Azure Service Fabric

Azure Service Fabric

Explore Our Courses

Generative AI with Azure OpenAI for Java Developers

 14 Hours
This instructor-led, live training in NanJing (online or onsite) is aimed at intermediate-level Java developers, software engineers, and cloud enthusiasts who wish to harness the power of Azure OpenAI to create intelligent applications. By the end of this training, participants will be able to:
  • Understand the principles of Generative AI and its applications.
  • Set up and manage an Azure OpenAI service.
  • Integrate OpenAI's models into Java applications.
  • Deploy AI-powered features within web applications.
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Terraform on Microsoft Azure

 21 Hours
This instructor-led, live training in NanJing (online or onsite) is aimed at intermediate-level cloud engineers and IT professionals who wish to use Terraform to automate the deployment, management, and scaling of infrastructure on the Azure cloud platform. By the end of this training, participants will be able to:
  • Understand the basics of Terraform and its benefits in infrastructure as code.
  • Set up and configure Terraform for Azure.
  • Develop, test, and deploy Terraform configuration files for various Azure services.
  • Use Terraform for managing and scaling Azure resources.
  • Implement best practices for Terraform state management and version control.
  • Integrate Terraform with Azure DevOps for automated deployments.
  • Create reusable Terraform modules for consistent resource provisioning.
  • Utilize advanced features of Terraform for complex infrastructure deployments.
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Building AI Cloud Apps with Microsoft Azure

 35 Hours
This instructor-led, live training in NanJing (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to build and deploy AI-powered cloud applications using Microsoft Azure. By the end of this training, participants will be able to:
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  • Manage Azure storage solutions and virtual machines.
  • Deploy and scale web applications using Azure App Service and Docker containers.
  • Integrate AI, machine learning, and natural language processing using Azure AI Services.
  • Leverage GitHub Copilot to assist in AI-driven cloud application development.
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Azure Synapse Analytics

 14 Hours
This instructor-led, live training in NanJing (online or onsite) is aimed at intermediate-level data engineers who wish to become proficient in utilizing Azure Synapse Analytics for a wide range of data processing, analytics, and visualization. By the end of this training, participants will be able to:
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  • Create, configure, and manage scalable data warehouses using Azure Synapse.
  • Master the techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
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Azure Data Lake Storage Gen2

 14 Hours
This instructor-led, live training in NanJing (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:
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  • 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.
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Azure Cloud Security Basic to Advanced

 35 Hours
This instructor-led, live training in NanJing (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:
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Kubernetes on Azure (AKS)

 14 Hours
In this instructor-led, live training in NanJing (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.  By the end of this training, participants will be able to:
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Azure Machine Learning (AML)

 21 Hours
This instructor-led, live training in NanJing (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:
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Architecting Microsoft Azure Solutions

 14 Hours
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.
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Azure DevOps Fundamentals

 14 Hours
This instructor-led, live training in NanJing (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:
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Azure Machine Learning

 14 Hours
This instructor-led, live training in NanJing (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:
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Azure Cloud Security

 7 Hours
This instructor-led, live training in NanJing (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:
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Building Microservices with Microsoft Azure Service Fabric (ASF)

 21 Hours
This instructor-led, live training in NanJing (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:
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  • Understand key microservices programming concepts and models.
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Developing Intelligent Bots with Azure

 14 Hours
The Azure Bot Service combines the power of the Microsoft Bot Framework and Azure functions to enable rapid development of intelligent bots. In this instructor-led, live training, participants will learn how to easily create an intelligent bot using Microsoft Azure By the end of this training, participants will be able to:
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Audience
  • Developers
  • Hobbyists
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Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Introduction to Azure

 7 Hours
In this instructor-led, live training in NanJing (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:
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Audience
  • Developers
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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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Kubeflow on Azure

 28 Hours
This instructor-led, live training in NanJing (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:
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MLOps for Azure Machine Learning

 14 Hours
This instructor-led, live training in (online or onsite) is aimed at machine learning engineers 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:
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Microsoft Azure Infrastructure and Deployment

 35 Hours
Microsoft Azure Infrastructure and Deployment
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Testimonials (8)

I loved the technical aspects of the exercises - it was great seeing Terraform in action and being able to see the creation of the resources in Azure.

Brett Hawson - Reach Plc

Course - Terraform on Microsoft Azure

It was very much what we asked for—and quite a balanced amount of content and exercises that covered the different profiles of the engineers in the company who participated.

Arturo Sanchez - INAIT SA

Course - Microsoft Azure Infrastructure and Deployment

I've got to try out resources that I've never used before.

Daniel - INIT GmbH

Course - Architecting Microsoft Azure Solutions

The Exercises

Khaled Altawallbeh - Accenture Industrial SS

Course - Azure Machine Learning (AML)

very friendly and helpful

Aktar Hossain - Unit4

Course - Building Microservices with Microsoft Azure Service Fabric (ASF)

The practical part, I was able to perform exercises and to test the Microsoft Azure features

Alex Bela - Continental Automotive Romania SRL

Course - Programming for IoT with Azure

Practical part and interaction with students

Piotr Madej - EY Global Services (Poland) Sp. z o.o.

Course - Azure DevOps Fundamentals

Learning about Kubernetes.

Felix Bautista - SGS GULF LIMITED ROHQ

Course - Kubernetes on Azure (AKS)

Upcoming Courses

Architecting Microsoft Azure Solutions

2025-05-27 09:30
14 hours
Nanjing, Jinling - Asia Pacific Tower

Kubeflow on Azure

2025-06-10 09:30
28 hours
Nanjing, Jinling - Asia Pacific Tower

Kubernetes on Azure (AKS)

2025-06-24 09:30
14 hours
Nanjing, Jinling - Asia Pacific Tower

Building Microservices with Microsoft Azure Service Fabric (ASF)

2025-07-08 09:30
21 hours
Nanjing, Jinling - Asia Pacific Tower

Building Microservices with Microsoft Azure Service Fabric (ASF)

2025-07-22 09:30
21 hours
Nanjing, Jinling - Asia Pacific Tower

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