Xiamen International Plaza

8/F, 8/F, International Bank Tower Centre, 8 Lujiang Road, Siming District, Xiamen, china, 361001

This premium business centre is located on the 8th floor of International Plaza, a 37th storey landmark on Lujiang Road in Xiamen's CBD. Situated next to the water and opposite of Gulangyu, the famous scenic island of Xiamen, Lujiang Road has become the Bund in Xiamen and a popular place for relaxation. Major clients in the building include companies in financial investmen, professional services, logistics, import and export, electronics and IT. Nearby amenities include Bank of China, Industrial and Commercial Bank of China, Xiamen Millennium Harbourview Hotel and Xiamen Wyndham Hotel. The centre is conveniently located with easy access to sea, land and air transportation. Ferry terminals are just minutes away from the building. The BRT (Bus Rapid Transit) station is nearby and it is only 15 minutes away by BRT to Xiamen Railway Station. Direct passenger trains are available from Xiamen to Shanghai, Nanjing, Hefei, Fuzhou, Nanchang and Yingtan. There are over 60 domestic and international destinations to and from Xiamen Gaoqi International Airport.

Explore Our Courses

Kubeflow

 35 Hours

This instructor-led, live training in Xiamen (online or onsite) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes.

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

  • Install and configure Kubeflow on premise and in the cloud using AWS EKS (Elastic Kubernetes Service).
  • Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
  • Run entire machine learning pipelines on diverse architectures and cloud environments.
  • Using Kubeflow to spawn and manage Jupyter notebooks.
  • Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.
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Kubeflow Fundamentals

 28 Hours

This instructor-led, live training in Xiamen (online or onsite) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes.

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

  • Install and configure Kubeflow on premise and in the cloud.
  • Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
  • Run entire machine learning pipelines on diverse architectures and cloud environments.
  • Using Kubeflow to spawn and manage Jupyter notebooks.
  • Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.
Read more...

Kubeflow on AWS

 28 Hours

This instructor-led, live training in Xiamen (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.
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Kubeflow on Azure

 28 Hours

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

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Testimonials (1)

I enjoyed participating in the Kubeflow training, which was held remotely. This training allowed me to consolidate my knowledge for AWS services, K8s, all the devOps tools around Kubeflow which are the necessary bases to properly tackle the subject. I wanted to thank Malawski Marcin for his patience and professionalism for training and advice on best practices. Malawski approaches the subject from different angles, different deployment tools Ansible, EKS kubectl, Terraform. Now I am definitely convinced that I am going into the right field of application.

Guillaume Gautier - OLEA MEDICAL | Improved diagnosis for life TM

Course - Kubeflow

Upcoming Courses

Kubeflow Fundamentals

2025-08-05 09:30
28 hours
Xiamen International Plaza

Kubeflow

2025-08-25 09:30
35 hours
Xiamen International Plaza

Kubeflow on Azure

2025-09-02 09:30
28 hours
Xiamen International Plaza

Kubeflow on Azure

2025-09-16 09:30
28 hours
Xiamen International Plaza

Kubeflow on AWS

2025-09-30 09:30
28 hours
Xiamen International Plaza

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