Taichung, Global

3/F, No.179, Fuhuiyuan Blvd., Xitun Dist, Taichung City, taiwan

The Taichung Global business centre is located in the new Taichung City Government Center area. This area is the major business hub of Taichung and includes the seat of Taichung City Government, many new hotels, restaurants and shopping malls such as Shin Kong Mitsukoshi Department Stores, Top City Department Stores and Warner Village Cinema. Quite a few grade A office buildings are located here, Global is the best among them. The centre is well located. Only 1 minute walk to Taichung city hall and 5 minutes to upcoming MRT system. There are many amenities including restaurants, banks and retail facilities nearby. The Regus Taichung Global business centre offers a perfect solution for local and overseas companies who want to start or grow their businesses in Taichung, who are looking for flexible and fully-equipped offices with comprehensive services at a reasonable price.

Explore Our Courses

Kubeflow

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

2025-05-12 09:30
35 hours
Taichung, Global
58500 NT$ (Online)
373500 NT$ (Classroom)

Kubeflow

2025-05-26 09:30
35 hours
Taichung, Global
58500 NT$ (Online)
373500 NT$ (Classroom)

Kubeflow

2025-06-09 09:30
35 hours
Taichung, Global
58500 NT$ (Online)
373500 NT$ (Classroom)

Kubeflow on AWS

2025-06-17 09:30
28 hours
Taichung, Global
39600 NT$ (Online)
291600 NT$ (Classroom)

Kubeflow on Azure

2025-07-01 09:30
28 hours
Taichung, Global
39600 NT$ (Online)
291600 NT$ (Classroom)

Kubeflow Fundamentals

2025-07-15 09:30
28 hours
Taichung, Global
39600 NT$ (Online)
291600 NT$ (Classroom)

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