Puerto Madero - Torre Colonos Sur

Edificio Colonos Sur, Buenos Aires, Argentina, C1107BGA

The Center is situated on the third floor of the high-rise Torre Colonos Sur tower, now the Argentine base for the Royal Bank of Scotland, which bought out ABN-AMRO in 2007. It is a 10-minute walk from local bus routes and 15 minutes from a metro station. The Center has its own parking and is protected by CCTV coverage.

Buenos Aires - Laminar Catalinas

5th floor, 240 Ing. Buttystreet, Buenos Aires, Argentina, C1001AFB

The Buenos Aires Laminar Catalinas Centre is on the fourth floor of the 20-storey Laminar Plaza Tower, a 1997 high-rise with glass façade, marble and granite entrance and views across the River Plate. It forms part of the Catalinas Norte, a purpose-built complex of 15 commercial office buildings occupied by leading Argentine and international companies, diplomatic offices and the Sheraton Hotel, the first skyscraper to open as part of the development project in the 1970s. This central location is near the Retiro station, the main terminal for long distance bus and rail services and Argentina's largest transportation hub. Catalinas Norte is one of the zones that make up the city's commercial district, and there are many financial, technology, utilities and consultancy businesses nearby. There is 24-hour access to the centre, which has its own secure underground parking.

Buenos Aires - Libertador

Libertador Avenue 101 Buenos Aires , Buenos Aires, Argentina, B1638BEA

Experience sustainable work environments within the striking glass structure located in Vicente López, just under 10 minutes away from Jorge Newbery Airport and Rivadavia train station. Impress clients with a memorable reception in the luminous, tree-lined atrium, and foster connections in the cozy business lounge. Treat yourself and your guests to refreshments at one of the restaurants conveniently located in the adjacent retail park.

Subcategories (2)

Category for Kubeflow

Kubeflow
Category for MLflow

MLflow

Explore Our Courses

DeepSeek: Advanced Model Optimization and Deployment

 14 Hours
This instructor-led, live training in Buenos Aires (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.
Read more...

Kubeflow

 35 Hours
This instructor-led, live training in Buenos Aires (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 Buenos Aires (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 Buenos Aires (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 Buenos Aires (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...

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.
Read more...

MLOps: CI/CD for Machine Learning

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

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.
Read more...

Last Updated:

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

Upcoming Courses

Kubeflow on Azure

2025-07-14 09:30
28 hours
Puerto Madero - Torre Colonos Sur
7487 USD (Online)
8287 USD (Classroom)

MLOps for Azure Machine Learning

2025-07-28 09:30
14 hours
Buenos Aires - Laminar Catalinas
3937 USD (Online)
4337 USD (Classroom)

Kubeflow on AWS

2025-08-11 09:30
28 hours
Buenos Aires - Libertador
7487 USD (Online)
8927 USD (Classroom)

Kubeflow on Azure

2025-08-25 09:30
28 hours
Puerto Madero - Torre Colonos Sur
7487 USD (Online)
8287 USD (Classroom)

Kubeflow

2025-09-08 09:30
35 hours
Buenos Aires - Laminar Catalinas
9187 USD (Online)
10187 USD (Classroom)

Other regions in Argentina

Other Countries

These courses are also available in other countries

Consulting

MLOps Consulting
Online MLOps training in Buenos Aires, MLOps training courses in Buenos Aires, Weekend MLOps courses in Buenos Aires, Evening MLOps training in Buenos Aires, MLOps instructor-led in Buenos Aires, MLOps coaching in Buenos Aires, MLOps instructor in Buenos Aires, MLOps on-site in Buenos Aires, MLOps private courses in Buenos Aires, Online MLOps training in Buenos Aires, MLOps boot camp in Buenos Aires, Evening MLOps courses in Buenos Aires, Weekend MLOps training in Buenos Aires, MLOps trainer in Buenos Aires, MLOps classes in Buenos Aires, MLOps one on one training in Buenos Aires, MLOps instructor-led in Buenos Aires