London Circuit

Tower A, Canberra City West, Canberra, Austl. Cap. Terr., Australia, 2601

7 London Circuit, Canberra is in the heart of Australia's capital city. Located on the fifth floor of a premium office building, the centre is a short distance from Australia's Parliament House and several of Canberra's landmark buildings including the Reserve Bank, Canberra Law Courts and the Rydges Canberra. Canberra's main industries include IT, service industries, government administration and defence. Canberra benefits from having one of the lowest unemployment rates in Australia with the economy continuing to grow. The centre is just a 10-minute drive from Canberra Airport and is well placed for local amenities such as shops, restaurants and hotels. The building is named after the hexagonal-shaped London Circuit road which surrounds the city centre.

Explore Our Courses

Kubeflow

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

Provisional Upcoming Courses (Require 5+ participants)

Kubeflow

2025-05-19 09:30
35 hours
London Circuit
15300 AUD (Online)
32450 AUD (Classroom)

Kubeflow

2025-06-02 09:30
35 hours
London Circuit
15300 AUD (Online)
32450 AUD (Classroom)

Kubeflow on AWS

2025-06-16 09:30
28 hours
London Circuit
15760 AUD (Online)
29480 AUD (Classroom)

Kubeflow

2025-06-30 09:30
35 hours
London Circuit
15300 AUD (Online)
32450 AUD (Classroom)

Kubeflow

2025-07-14 09:30
35 hours
London Circuit
15300 AUD (Online)
32450 AUD (Classroom)

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