Ho Chi Minh City Saigon Tower

16th Floor, Saigon Tower, 29 Le Duan Street, Ho Chi Minh City, Vietnam

The office space in Ho Chi Minh City Saigon Tower is in a prestigious building in the heart of the central business district. The office space is situated on the 16th floor, there are some views over the surrounding area and the Saigon River. The landmark building which has an impressive polished granite facade and distinctive architectural style is home to many international corporations. These include law firms, management consultants, international airlines, banks and oil and gas companies. Saigon Tower is immediately opposite the American and French consulates and next to the British consulate. The building is conveniently located for public transport.

The Executive Centre - Saigon Centre Tower 1

Level 14, Tower 1, 65 Le Loi Street, Ben Nghe Ward, District 1, Ho Chi Minh City, Vietnam, 700000

Right in heart of Ho Chi Minh city, strategically located in the coveted District 1 on Le Loi Street.

Toong Oxygen

3rd Floor of The Vista Building, 628C Hanoi Highway, An Phu Ward, Ho Chi Minh City, Vietnam

At the intersection of Thao Dien Masteri and Vincom Mega Mall - two of Saigon’s rising neighbourhoods, is Toong Oxygen. As a symbol for the upward mobility happening in District 2, this hub is the result of a fruitful partnership between Toong and CapitaLand, one of Asia’s largest real estate companies.

UPGEN LE MERIDIEN

Level 4, Le Meridien Saigon, 3C Ton Duc Thang Street, Ben Nghe Ward, District 1, Ho Chi Minh City, Vietnam

Situated right in Ho Chi Minh City’s central business district, UPGen Le Meridien is a chic and modern workspace overlooking the beautiful Saigon River. Featuring an elegantly cool interior with plenty of eclectic touches, this space is within easy walking distance to the commercial and entertainment districts of the city.

Subcategories (2)

Image for the Kubeflow

Kubeflow
Image for the MLflow

MLflow

Explore Our Courses

DeepSeek: Advanced Model Optimization and Deployment

 14 Hours
This instructor-led, live training in Ho Chi Minh City (online or onsite) is aimed at advanced-level AI engineers and data scientists with intermediate-to-advanced experience who wish to enhance DeepSeek model performance, minimize latency, and deploy AI solutions efficiently using modern MLOps practices. By the end of this training, participants will be able to:
  • Optimize DeepSeek models for efficiency, accuracy, and scalability.
  • Implement best practices for MLOps and model versioning.
  • Deploy DeepSeek models on cloud and on-premise infrastructure.
  • Monitor, maintain, and scale AI solutions effectively.
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Kubeflow

 35 Hours
This instructor-led, live training in Ho Chi Minh City (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 Ho Chi Minh City (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.
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Kubeflow on AWS

 28 Hours
This instructor-led, live training in Ho Chi Minh City (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 Ho Chi Minh City (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.
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MLflow

 21 Hours
This instructor-led, live training in (online or onsite) is aimed at data scientists who wish to go beyond building ML models and optimize the ML model creation, tracking, and deployment process. By the end of this training, participants will be able to:
  • Install and configure MLflow and related ML libraries and frameworks.
  • Appreciate the importance of trackability, reproducability and deployability of an ML model
  • Deploy ML models to different public clouds, platforms, or on-premise servers.
  • Scale the ML deployment process to accommodate multiple users collaborating on a project.
  • Set up a central registry to experiment with, reproduce, and deploy ML models.
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MLOps: CI/CD for Machine Learning

 35 Hours
This instructor-led, live training in Ho Chi Minh City (online or onsite) is aimed at engineers who wish to evaluate the approaches and tools available today to make an intelligent decision on the path forward in adopting MLOps within their organization. By the end of this training, participants will be able to:
  • Install and configure various MLOps frameworks and tools.
  • Assemble the right kind of team with the right skills for constructing and supporting an MLOps system.
  • Prepare, validate and version data for use by ML models.
  • Understand the components of an ML Pipeline and the tools needed to build one.
  • Experiment with different machine learning frameworks and servers for deploying to production.
  • Operationalize the entire Machine Learning process so that it's reproduceable and maintainable.
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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:
  • Build reproducible workflows and machine learning models.
  • Manage the machine learning lifecycle.
  • Track and report model version history, assets, and more.
  • Deploy production ready machine learning models anywhere.
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Testimonials (2)

the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose

Guillaume GAUTIER - OLEA MEDICAL

Course - MLflow

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

Provisional Upcoming Courses (Require 5+ participants)

Kubeflow on Azure

2025-06-02 09:30
28 hours
Toong Oxygen
406,480,472 VND (Online)
406,480,472 VND (Classroom)

DeepSeek: Advanced Model Optimization and Deployment

2025-06-16 09:30
14 hours
UPGEN LE MERIDIEN
203,240,236 VND (Online)
203,240,236 VND (Classroom)

Kubeflow Fundamentals

2025-06-30 09:30
28 hours
Ho Chi Minh City Saigon Tower
406,480,472 VND (Online)
406,493,072 VND (Classroom)

Kubeflow on AWS

2025-07-14 09:30
28 hours
The Executive Centre - Saigon Centre Tower 1
406,480,472 VND (Online)
542,480,472 VND (Classroom)

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