Guangdong - Guangdong International Building

7/F, 7/F, International Building, No. 339 Huanshi East Road, Yuexiu District, Guangzhou, China, 510098

The office space is located in the heart of Huan Shi Road East CBD in Guangzhou. Guangdong International Building is part of a large integrated development including the five-star hotel Crown Plaza, Grade A office space and serviced apartments. The office space is in close proximity to Guangdong TV Building, the Huanghuagang Theatre and the Garden and Baiyun Hotels. Other amenities nearby include large malls and shopping centres, banks, restaurants, etc. With easy access to many means of public transportation including metro, taxi and bus, the office space has excellent connections to other districts and facilities in Guangzhou as well as the international airport. Guangdong International Building is home to many foreign consulates and trade and sourcing companies as well as many financial services firms.

Explore Our Courses

Kubeflow

 35 Hours
This instructor-led, live training in Guangzhou (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 Guangzhou (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 Guangzhou (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 Guangzhou (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

2025-06-09 09:30
28 hours
Guangdong - Guangdong International Building

Kubeflow

2025-06-23 09:30
35 hours
Guangdong - Guangdong International Building

Kubeflow on Azure

2025-07-07 09:30
28 hours
Guangdong - Guangdong International Building

Kubeflow on Azure

2025-07-21 09:30
28 hours
Guangdong - Guangdong International Building

Kubeflow on AWS

2025-08-04 09:30
28 hours
Guangdong - Guangdong International Building

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