London - London City Centre

380 Wellington Street, London, Canada, N6A 5B5

The centre occupies the 6th floor of City Centre Building a conveniently-located corner complex in downtown London, Ontario.

West Toronto - Etobicoke

10 Four Seasons Place, Toronto, Canada, M9B 6H7

Etobicoke is a prestigious area located on the western fringe of Toronto, and is the cushion between Toronto and Mississauga. Easily accessible by public transportation (bus) and is 5 minutes from the local subway station.

Scarborough – 10 Milner Business Court

10 Milner Business Court, Scarborough, Canada, M1B 3C6

The Milner Court Centre occupies the third floor of a corner property. It is easily accessible by public transport, both by bus and the rapid transit system.

Oakville - Winston Park

2010 Winston Park Drive, Oakville, Canada, L6H 5R7

The Winston Park centre is located close to both the Queen Elizabeth Way and Ontario 403 giving easy access for Burlington and Hamilton to the west and Mississauga and Toronto to the East.

Barrie - 49 High Street

49 High Street, Barrie, Canada, L4N 5J4

Balance work and leisure from our office space at 49 High Street. Barrie has a bustling commercial heart and enjoys great connectivity – our central office space is just a few minutes’ drive from Highway 400

Waterloo - 180 Northfield Drive West

180 Northfield Drive West, Waterloo, Canada, N2L 0C7

Maximise opportunities in this forward-thinking city, a knowledge center home to several tech giants. Our well-connected 180 Northfield Drive West centre is on the city's Corporate Campus near the prestigious University of Waterloo.

Kitchener - 22 Frederick Street

22 Frederick Street, Kitchener, canada, N2H 6M6

Prominent office space in downtown location Establish your business in the heart of downtown Kitchener. Work alongside leading finance and insurance companies at our 22 Frederick Street offices on the corner of Frederick Street, giving you easy access to local amenities.

Brampton - 2 County Court

2 County Court Boulevard, Brampton, Canada, L6W 3W8

Look to the future with an office space at 2 County Court, a building with outstanding sustainability credentials. The third largest city in Greater Toronto enjoys great transport links, while Toronto’s international airport is under 10 miles away.

Richmond Hill - The Business Exchange

9225 Leslie Street, Richmond Hill, Canada, L4B 3H6

Place your business in the peaceful surroundings of Richmond Hill, home to leading global brands. Located in the northern suburbs, our The Business Exchange workspace is just a 30-minute drive from central Toronto and the International Airport.

Ottawa - Albert & Metcalfe

116 Albert Street, Ottawa, Canada, K1P 5G3

Across the street from the World Exchange Plaza. The Ottawa Shaw Centre and CF Rideau Centre shopping mall 10 minutes away.

Barrie-49 High Street

3rd floor, Dunlop Street West​, Barrie, Canada, L4N 1A8

A Perfect Balance of Work and Leisure by Lake Simcoe Combine productivity with relaxation in our office space at 49 High Street. Located in the vibrant commercial center of Barrie, this office offers excellent connectivity, with Highway 400 just a short drive away. Work efficiently in a modern brick building featuring a glass-fronted entrance, beautifully designed workspaces, and curated artwork in every meeting room. After a productive day, enjoy the nearby restaurants or take a leisurely walk to Heritage Park by the waterfront for some fresh air and relaxation.

Toronto - Toronto Street

36 Toronto Street, Toronto, Canada, M5C 2C5

Steps away from Toronto's prestigious financial core. Fast link to Pearson International Airport - less than 30 minutes away.

Ottawa - 343 Preston

343 Preston Street, Ottawa, Canada, K1S 1N4

On the top floor of a distinctive office tower that's highly visible from Highway 417, you will find Regus 343 Preston Centre in Ottawa. Only a 10 minute drive from downtown Ottawa, a short stroll away from Downs Lake, and located near the lively intersection of Preston Gladstone in Little Italy.

Mississauga - Airways

5925 Airport Road, Mississauga, Canada, L4V 1W1

Airways is a beautiful center located at 5925 Airport Road, directly across from Toronto Pearson International Airport offering shuttle services. Adjacent to Highways 409 and 427, our center is easily accessible.

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 Ontario (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 Ontario (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 Ontario (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 Ontario (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 Ontario (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 Ontario (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 (3)

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

Guillaume GAUTIER - OLEA MEDICAL

Course - MLflow

The quality of the explanations, and the large number of topics covered

Hugo SECHIER - Expleo France

Course - Kubeflow on AWS

Machine Translated

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

2025-07-28 09:30
35 hours
Barrie-49 High Street
CA$ 8,784 (Online)
CA$ 13,784 (Classroom)

MLOps: CI/CD for Machine Learning

2025-08-11 09:30
35 hours
Barrie-49 High Street
CA$ 8,784 (Online)
CA$ 13,784 (Classroom)

MLflow

2025-08-25 09:30
21 hours
Barrie-49 High Street
CA$ 5,270 (Online)
CA$ 8,270 (Classroom)

MLflow

2025-09-08 09:30
21 hours
Barrie-49 High Street
CA$ 5,270 (Online)
CA$ 8,270 (Classroom)

Kubeflow

2025-09-22 09:30
35 hours
Barrie-49 High Street
CA$ 8,784 (Online)
CA$ 13,784 (Classroom)

Other regions in Canada

Other Countries

These courses are also available in other countries

Consulting

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