St. Mary

330 St. Mary Avenue, Winnipeg, Canada, R3C 3Z5

Quick link to Winnipeg James Armstrong Richardson International Airport 20 minutes away.

201 Portage Avenue

201 Portage Avenue - 18th Floor, Winnipeg, Canada, R3B 3K6

Based on the 18th floor of the most prestigious building in Winnipeg, 201 Portage Avenue business centre combines stunning...

Subcategories (3)

Image for Auto-Keras category
Auto-Keras
Image for Auto-sklearn category
Auto-sklearn
Image for H2O AutoML category
H2O AutoML

Explore Our Courses

AutoML

14 Hours
This instructor-led, live training in Winnipeg (online or onsite) is aimed at technical persons with a background in machine learning who wish to optimize the machine learning models used for detecting complex patterns in big data. By the end of this training, participants will be able to:
  • Install and evaluate various open source AutoML tools (H2O AutoML, auto-sklearn, TPOT, TensorFlow, PyTorch, Auto-Keras, TPOT, Auto-WEKA, etc.)
  • Train high quality machine learning models.
  • Efficiently solve different types of supervised machine learning problems.
  • Write just the necessary code to initiate the automated machine learning process.
Read more...

Google Cloud AutoML

7 Hours
This instructor-led, live training in Winnipeg (online or onsite) is aimed at data scientists, data analysts, and developers who wish to explore AutoML products and features to create and deploy custom ML training models with minimal effort. By the end of this training, participants will be able to:
  • Explore the AutoML product line to implement different services for various data types.
  • Prepare and label datasets to create custom ML models.
  • Train and manage models to produce accurate and fair machine learning models.
  • Make predictions using trained models to meet business objectives and needs.
Read more...

AutoML with Auto-Keras

14 Hours
This instructor-led, live training in Winnipeg (online or onsite) is aimed at data scientists as well as less technical persons who wish to use Auto-Keras to automate the process of selecting and optimizing a machine learning model. By the end of this training, participants will be able to:
  • Automate the process of training highly efficient machine learning models.
  • Automatically search for the best parameters for deep learning models.
  • Build highly accurate machine learning models.
  • Use the power of machine learning to solve real-world business problems.
Read more...

AutoML with Auto-sklearn

14 Hours
This instructor-led, live training in Winnipeg (online or onsite) is aimed at machine learning practitioners who wish to use Auto-sklearn to automate the process of selecting and optimizing a machine learning model. By the end of this training, participants will be able to:
  • Automate the process of training highly efficient machine learning models.
  • Build highly accurate machine learning models while bypassing the more tedious tasks of selecting, training and testing different models.
  • Use the power of machine learning to solve real-world business problems.
Read more...

H2O AutoML

14 Hours
This instructor-led, live training in Winnipeg (online or onsite) is aimed at data scientists who wish to use H2O AutoML to automoate the process of building and selecting the best machine learning algorithm and parameters. By the end of this training, participants will be able to:
  • Automate the machine learning workflow.
  • Automatically train and tune many machine learning models within a specified time range.
  • Train stacked ensembles to arrive at highly predictive ensemble models.
Read more...

Last Updated:

Testimonials (32)

The trainer was so knowledgeable and included areas I was interested in.

Mohamed Salama
Course - Data Mining & Machine Learning with R

The trainer was a practitioner with a lot of experience and had a very good knowledge of the material.

Witold Iwaniec - City of Calgary
Course - Machine Learning with Python – 4 Days

The details and the presentation style.

Cristian Mititean - Accenture Industrial SS
Course - Azure Machine Learning (AML)

The Exercises

Khaled Altawallbeh - Accenture Industrial SS
Course - Azure Machine Learning (AML)

Working from first principles in a focused way, and moving to applying case studies within the same day

Maggie Webb - Department of Jobs, Regions, and Precincts
Course - Artificial Neural Networks, Machine Learning, Deep Thinking

It was very interactive and more relaxed and informal than expected. We covered lots of topics in the time and the trainer was always receptive to talking more in detail or more generally about the topics and how they were related. I feel the training has given me the tools to continue learning as opposed to it being a one off session where learning stops once you've finished which is very important given the scale and complexity of the topic.

Jonathan Blease
Course - Artificial Neural Networks, Machine Learning, Deep Thinking

That it was applying real company data. Trainer had a very good approach by making trainees participate and compete

Jimena Esquivel - Zakład Usługowy Hakoman Andrzej Cybulski
Course - Applied AI from Scratch in Python

The trainer was a professional in the subject field and related theory with application excellently

Fahad Malalla - Tatweer Petroleum
Course - Applied AI from Scratch in Python

Keeping it short and simple. Creating intuition and visual models around the concepts (decision tree graph, linear equations, calculating y_pred manually to prove how the model works).

Nicolae - DB Global Technology
Course - Machine Learning

It helped me achieve my goal of understanding ML. Much respect for Pablo for giving a proper introduction in this topic, since it becomes obvious after 3 days of training how vast this topic is. I have also enjoyed A LOT the idea of virtual machines you have provided, which had very good latency! It allowed every coursant to do experiments at their own pace.

Silviu - DB Global Technology
Course - Machine Learning

The way practical part, seeing the theory materializing into something practical is great.

Lisa Fekade - Vodacom
Course - Machine Learning

It's just great that all material including the exercises is on the same page and then it gets updated on the fly. The solution is revealed at the end. Cool! Also, I do appreciate that Krzysztof took extra effort to understand our problems and suggested us possible techniques.

Attila Nagy - L M ERICSSON LIMITED
Course - Machine Learning

I liked the lab exercises.

Marcell Lorant - L M ERICSSON LIMITED
Course - Machine Learning

Szkolenie rewelacyjne, jedno z najlepszych, na jakich bylem! Prowadzacy Rafal doskonale odpowiadal w zakresie poruuszanych zagadnien, bardzo dokladnie tlumaczyl wszystkie metody. Jestem bardzo zadowolony i chetnie ponownie skorzystam ze szkolenia prowadzonego przez tego szkoleniowca.

Darek Paszkowski - Orange Szkolenia Sp. z o.o.
Course - Feature Engineering for Machine Learning

Rysunki na flipcharcie, całe szkolenie.

Kasia Nawrot - Orange Szkolenia Sp. z o.o.
Course - Feature Engineering for Machine Learning

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™
Course - Kubeflow

The enthusiasm to the topic. The examples he made an he explained it very well. Sympatic. A little to detailed for beginners. For managers, it could be more abstract in fewer days. But it was designed to fit and we had a good alignment in advance.

Benedikt Chiandetti - HDI Deutschland Bancassurance Kundenservice GmbH
Course - Machine Learning Concepts for Entrepreneurs and Managers

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

Guillaume GAUTIER - OLEA MEDICAL
Course - MLflow

The trainer showed that he has a good understanding of the subject.

Marino - EQUS - The University of Queensland
Course - Machine Learning with Python – 2 Days

It was a great intro to ML!! I liked the whole thing, really. The organization was perfect. The right amount of time for lectures/ demos and just us playing around. Lots of topics were touched, just at the right level. He was also very good at keeping us super engaged, even without any camera being on.

Zsolt - EQUS - The University of Queensland
Course - Machine Learning with Python – 2 Days

Clarity of explanation and knowledgeable response to questions.

Harish - EQUS - The University of Queensland
Course - Machine Learning with Python – 2 Days

The knowledge of the trainer was very high and the material was well prepared and organised.

Otilia - TCMT
Course - Machine Learning with Python – 2 Days

I thought the trainer was very knowledgeable and answered questions with confidence to clarify understanding.

Jenna - TCMT
Course - Machine Learning with Python – 2 Days

Convolution filter

Francesco Ferrara
Course - Introduction to Machine Learning

The way of transferring knowledge and the knowledge of the trainer.

Jakub Rękas - Bitcomp Sp. z o.o.
Course - Machine Learning on iOS

Interesting knowledge

Gabriel - MINDEF
Course - Machine Learning with Python – 4 Days

The trainer because he could handle almost every subject and situation.

Florin Babes - eMAG IT RESEARCH SRL
Course - Machine Learning with Python – 4 Days

The manner in which the trainer explained the concepts, his positive and welcoming attitude and the real-world examples provided for each exercise.

Ovidiu Calita - eMAG IT RESEARCH SRL
Course - Machine Learning with Python – 4 Days

Very good training session with nice documentation and exercises and Kristian did it like a professional he is.

Adrian Boulescu - eMAG IT RESEARCH SRL
Course - Machine Learning with Python – 4 Days

Even with having to miss a day due to customer meetings, I feel I have a much clearer understanding of the processes and techniques used in Machine Learning and when I would use one approach over another. Our challenge now is to practice what we have learned and start to apply it to our problem domain

Richard Blewett - Rock Solid Knowledge Ltd
Course - Machine Learning – Data science

I like that training was focused on examples and coding. I thought that it is impossible to pack so much content into three days of training, but I was wrong. Training covered many topics and everything was done in a very detailed manner (especially tuning of model's parameters - I didn't expected that there will be a time for this and I was gratly surprised).

Bartosz Rosiek - GE Medical Systems Polska Sp. Zoo
Course - Machine Learning – Data science

It is showing many methods with pre prepared scripts- very nicely prepared materials & easy to traceback

Kamila Begej - GE Medical Systems Polska Sp. Zoo
Course - Machine Learning – Data science

Upcoming Courses

Other regions in Canada

Other Countries

These courses are also available in other countries

Consulting

AutoML Consulting
Online AutoML training in Winnipeg, AutoML training courses in Winnipeg, Weekend AutoML courses in Winnipeg, Evening AutoML training in Winnipeg, AutoML instructor-led in Winnipeg, Evening AutoML courses in Winnipeg, AutoML instructor in Winnipeg, Online AutoML training in Winnipeg, AutoML private courses in Winnipeg, Weekend AutoML training in Winnipeg, AutoML trainer in Winnipeg, AutoML one on one training in Winnipeg, AutoML instructor-led in Winnipeg, AutoML boot camp in Winnipeg, AutoML coaching in Winnipeg, AutoML classes in Winnipeg, AutoML on-site in Winnipeg
1