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Beijing - Parkview Green

QiaoFu FangCaoDi , No. 9 Dongdaqiao Road, Chaoyang District, Beijing, China

Located on the west side of Dongdaqiao Road, Chaoyang District, Beijing, close to the core area of ​​Beijing CBD, with a total area of ​​200,000 square meters, it is an innovative building integrating top office buildings, fashion shopping centers, art centers and boutique hotels. Based on the rich international atmosphere and advantageous location of Fangcao Parkview Green is committed to creating a diverse business and cultural leisure complex that has become a new composite lifestyle in Beijing style and high quality. Its leading environmental design, sustainable development concept and rich and diverse artistic atmosphere constitute the unique features of Parkview Green, which brings a unique and unique experience to every visitor.

Beijing - Creative building

6/F, 15# Wanquanzhuang Str. Haidian district 6/F, Beijing, China, 100000

Creative building is located the centre of Haidian distrect. There is a direct bus to Zhong guancun and Yuanmingyuan Park. There are shoppingmalls, hosiptal and Schools. 10-15 mins from subway. We have independent office for 2 or 10 persons, and also public areas, meeting rooms ect.

New Oriental Plaza

Haidian Zhong Jie No.6, Beijing, China, 100080

New Oriental Plaza locates in the core of Zhong Guan Cun area in Beijing. The place is stationed many major educational organizations.

Beijing - Chaoyang Guomao III

15/F, 15/F China World Trade Center Tower 3, 1 Jianguomenwai Avenue, Beijing, China, 100004

The Beijing China World Trade Centre (CWTC) is in one of the most prestigious buildings in Beijing, in the middle of the central business area. Situated in CWTC Tower III, this ultra tall landmark building has 74 floors. Most of the building is taken up with offices but there is also a five-star hotel on the upper floors and retail units on the lower floors. The central business district, which is a hub for both business and culture, is home to several multinational companies working in finance, insurance, trade, telecoms and IT. Situated on the 15th floor, there are excellent views over the city from some of the centre's offices. The building's location beside East Changan Avenue is convenient for access to Tiananmen Square's government offices and to the Forbidden City, the historical home of China's emperors which is now a World Heritage Site.

Beijing Pacific Century Place

gong ren ti yu chang Bei street 2#, Beijing, China, 100027

Pacific Century Center is located in the central business district of prime locations, is favored by the major business of the popular business address. The Regus office is located on the 14th floor of this high-rise building and some rooms have views of the capital. This is an important international financial center, where many well-known domestic companies and multinational companies in information technology, consulting, telecommunications and services are located in this central business district. There are many foreign embassies nearby. You can reach museums, concert halls and theaters from the Pacific Century Center. Sanlitun bar a street is also close.

Explore Our Courses

Generative AI with Azure OpenAI for Java Developers

 14 Hours

This instructor-led, live training in Beijing (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 Beijing (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 Beijing (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:

  • Develop event-driven and serverless applications using Azure Functions.
  • 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 Beijing (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:

  • Understand the core concepts, architecture, and components of Azure Synapse Analytics.
  • 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.
  • Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.
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Azure Data Lake Storage Gen2

 14 Hours

This instructor-led, live training in Beijing (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.
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Kubernetes on Azure (AKS)

 14 Hours

In this instructor-led, live training in Beijing (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:

  • Configure and manage Kubernetes on AKS.
  • Deploy, manage and scale a Kubernetes cluster.
  • Deploy containerized (Docker) applications on Azure.
  • Migrate an existing Kubernetes environment from on-premise to AKS cloud.
  • Integrate Kubernetes with third-party continuous integration (CI) software.
  • Ensure high availability and disaster recovery in Kubernetes.
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Building AI Agents on Microsoft Azure

 7 Hours

This instructor-led, live training in Beijing (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level developers and technical professionals who wish to use Microsoft Azure to build, test, and deploy AI agents for business applications.

By the end of this training, participants will be able to: understand AI agent architecture on Azure, create and configure a working agent, connect agents to business knowledge sources, evaluate and prepare agents for deployment.

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Azure DevOps Fundamentals

 14 Hours

This instructor-led, live training in Beijing (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.
Read more...

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Testimonials (3)

pacing for the most part was fantastic. Michal was very good at ensuring the audience were engaged and ensured everyone was following along for the most part

Asif Shaikh - Carpmaels & Ransford

Course - Terraform on Microsoft Azure

That we could do everything in practice by ourselves. That our trainer had extensive knowledge and we could ask him anything and he always had the answer. That I got some skills that are useful for developers.

Julia Gajtkowska - Demant Business Services Poland

Course - Azure DevOps Fundamentals

It was really useful seeing the full pipeline from start to finish, it led to a better understanding of how to use the technology which you wouldn't get by just focusing on a few different parts out of context.

Scott Fisher - Derivco

Course - Kubernetes on Azure (AKS)

Upcoming Courses

Building AI Agents on Microsoft Azure

2026-08-14 09:30
7 hours
Beijing - Parkview Green

Building AI Cloud Apps with Microsoft Azure

2026-08-28 09:30
35 hours
Beijing - Creative building

Generative AI with Azure OpenAI for Java Developers

2026-09-11 09:30
14 hours
New Oriental Plaza

Azure Synapse Analytics

2026-09-25 09:30
14 hours
Beijing - Chaoyang Guomao III

Building AI Agents on Microsoft Azure

2026-10-09 09:30
7 hours
Beijing Pacific Century Place

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