Joy Nostalg

ADB Avenue, Pasig, Philippines

Modern, conducive and equipped for our training courses

Manila Enterprise Makati

28th Floor, Tower 2, The Enterprise Centre, Manila, Philippines, 1226

Manila's Enterprise Makati Centre is at the heart of the business and finance district in one of the most popular commercial buildings in Makati City. This business centre overlooks the skyscrapers of Makati and from the board rooms there are stunning views of the historic Manila Bay. Described as 'The Business Building Designed for Building Business', it is in a neo-classical landmark twin tower building with magnificently designed facilities, a range of retail and leisure facilities and seven levels of underground parking accommodating 1,200 vehicles. Makati is the country's undisputed financial centre and commercial hub and is home to the headquarters of the 40 per cent of the top 1,000 multinational and local corporations. The city has the most developed telecommunications infrastructure in the country. Transport links are excellent and the Ninoy Aquino International Airport is just five kilometres away.

Explore Our Courses

Kubeflow

 35 Hours
This instructor-led, live training in Manila (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.
Read more...

Kubeflow Fundamentals

 28 Hours
This instructor-led, live training in Manila (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 Manila (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.
Read more...

Kubeflow on Azure

 28 Hours
This instructor-led, live training in Manila (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 on AWS

2025-05-06 09:30
28 hours
Manila Enterprise Makati
210712 PHP (Online)
239312 PHP (Classroom)

Kubeflow

2025-05-26 09:30
35 hours
Joy Nostalg
997530 PHP (Online)
2132295 PHP (Classroom)

Kubeflow Fundamentals

2025-06-03 09:30
28 hours
Manila Enterprise Makati
210712 PHP (Online)
239312 PHP (Classroom)

Kubeflow on Azure

2025-06-17 09:30
28 hours
Joy Nostalg
210712 PHP (Online)
1118524 PHP (Classroom)

Kubeflow

2025-07-07 09:30
35 hours
Manila Enterprise Makati
997530 PHP (Online)
1033280 PHP (Classroom)

Kubeflow

2025-07-21 09:30
35 hours
Joy Nostalg
997530 PHP (Online)
2132295 PHP (Classroom)

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Other Countries

These courses are also available in other countries

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Kubeflow Consulting
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