Explore Our Courses
Introduction to Pre-trained Models
14 HoursBuilding AI Solutions on the Edge
14 HoursEdge AI with TensorFlow Lite
14 HoursAI-Powered Autonomous Systems
21 HoursMachine Learning with Google Colab
14 HoursAlphaFold
7 HoursData Mining with Weka
14 HoursAdvanced Analytics with RapidMiner
14 HoursAdaBoost Python for Machine Learning
14 HoursAutoML with Auto-Keras
14 HoursAutoML
14 HoursPattern Recognition
21 HoursDataRobot
7 HoursGoogle Cloud AutoML
7 HoursMachine Learning Algorithms in Julia
21 HoursKubeflow
35 HoursKubeflow Fundamentals
28 HoursKubeflow on AWS
28 HoursKubeflow on Azure
28 HoursMathematica for Machine Learning
14 HoursMachine Learning and Big Data
7 HoursMLflow
21 HoursIntroduction to Machine Learning
7 HoursMachine Learning on iOS
14 HoursMachine Learning for Robotics
21 HoursPattern Matching
14 HoursMachine Learning with Random Forest
14 HoursTensorflow Lite for Microcontrollers
21 HoursLast Updated:
Testimonials(25)
I thought the trainer was very knowledgeable and answered questions with confidence to clarify understanding.
Jenna - TCMT
Course - Machine Learning with Python – 2 Days
Drawings on a flipchart, the entire training.
Kasia Nawrot - Orange Szkolenia Sp. z o.o.
Machine Translated
Great contact with participants, practical knowledge which is highly valued. Adjustment of pace / speed. A huge plus, a mega-positive instructor, it's a shame that the training lasted only 2 days.
Marcin Mikielewicz - TECNOBIT SLU
Course - Introduction Deep Learning & Réseaux de neurones pour l’ingénieur
Machine Translated
The clarity with which it was presented
John McLemore - Motorola Solutions
Course - Deep Learning for Telecom (with Python)
the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose
Guillaume GAUTIER - OLEA MEDICAL
Course - MLflow
The way of transferring knowledge and the knowledge of the trainer.
Jakub Rekas - Bitcomp Sp. z o.o.
Course - Machine Learning on iOS
The explaination
Wei Yang Teo - Ministry of Defence, Singapore
Course - Machine Learning with Python – 4 Days
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
The training level was high. The instructor was not afraid to use mathematical formalisms.
Mateusz Soczewka - Santander Bank Polska S.A.
Course - Fundamentals of Reinforcement Learning
Machine Translated
The training was conducted in a very practical manner, and the pace was adjusted to the group.
Michal Solis - Orange Szkolenia sp. z o.o.
Course - Fundamentals of Artificial Intelligence and Machine Learning
Machine Translated
Practical examples, comprehensive answers to participants' questions, extensive knowledge, and experience
Marta Rokosa - Wyzsza Szkola Bankowa w Poznaniu
Course - Machine Learning and Big Data
Machine Translated
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 trainer explained the content well and was engaging throughout. He stopped to ask questions and let us come to our own solutions in some practical sessions. He also tailored the course well for our needs.
Robert Baker
Course - Deep Learning with TensorFlow 2.0
Convolution filter
Francesco Ferrara
Course - Introduction to Machine Learning
Tomasz really know the information well and the course was well paced.
Raju Krishnamurthy - Google
Course - TensorFlow Extended (TFX)
Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject
Ali Kattan - TWPI
Course - Natural Language Processing with TensorFlow
Method of knowledge transfer
- EduBroker Sp. z o.o.
Course - Machine Learning for Banking (with Python)
Machine Translated
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
Many practical tips
Pawel Dawidowski - ABB Sp. z o.o.
Course - Deep Learning with TensorFlow
Machine Translated
The instructors have extensive theoretical and practical knowledge. The instructors are communicative. During the course, participants could ask questions and receive satisfying answers.
Kamil Kurek - ING Bank Slaski S.A.; Kamil Kurek Programowanie
Course - Understanding Deep Neural Networks
Machine Translated
In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.
Sacha Nandlall
Course - Python for Advanced Machine Learning
Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
Paul Lee
Course - TensorFlow for Image Recognition
I liked the new insights in deep machine learning.
Josip Arneric
Course - Neural Network in R
Trainer explained complex and advanced topics very clearly.
Leszek K
Course - Artificial Intelligence Overview
Machine Translated
We have gotten a lot more insight in to the subject matter. Some nice discussion were made with some real subjects within our company.