Artificial Intelligence (AI) Training in Melbourne

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

examples and exercises

Kamil

Course - Introduction to Data Science and AI using Python

Machine Translated

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

Interesting knowledge

Gabriel - MINDEF

Course - Machine Learning with Python – 4 Days

All the information presented

Jose Victor - si

Course - Artificial Intelligence (AI) for Managers

Fantastic training, one of the best I have ever attended! The moderator, Rafal, provided excellent answers to the issues raised and explained all the methods very thoroughly. JestI am very satisfied and will gladly take advantage of the training conducted by this trainer again.

Darek Paszkowski - Orange Szkolenia Sp. z o.o.

Machine Translated

All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.

Mathipa Chepape - Vodacom

Course - Big Data Business Intelligence for Telecom and Communication Service Providers

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 felt like we were going through directly relevant information at a good pace (i.e. no filler material)

Maggie Webb - Department of Jobs, Regions, and Precincts

Course - Introduction to the use of neural networks

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

Jakub Rękas - Bitcomp Sp. z o.o.

Course - Machine Learning on iOS

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 training definitely backfilled some of the gaps in my knowledge left by reading the OptaPlanner userguide. It gave me a good broad understanding of how to approach using OptaPlanner in our projects going forward.

Terry Strachan - Exel Computer Systems plc

Course - OptaPlanner in Practice

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 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 theoretical explanations

Molatelo Tloubatla - University Of South Africa

Course - Data Science: Analysis and Presentation

Convolution filter

Francesco Ferrara

Course - Introduction to Machine Learning

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

The exercises.

Elena Velkova - CEED Bulgaria

Course - Predictive Modelling with R

Good detail on what R is used for and how to start using it right away

Hoss Shenassa - Trimac Management Services LP

Course - Introduction to R with Time Series Analysis

The content, as I found it very interesting and think it would help me in my final year at University.

Krishan - NBrown Group

Course - From Data to Decision with Big Data and Predictive Analytics

This is one of the best hands-on with exercises programming courses I have ever taken.

Laura Kahn

Course - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

Very flexible.

Frank Ueltzhöffer

Course - Artificial Neural Networks, Machine Learning and Deep Thinking

I liked the opportunities to ask questions and get more in depth explanations of the theory.

Sharon Ruane

Course - Neural Networks Fundamentals using TensorFlow as Example

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

Mohamed Salama

Course - Data Mining & Machine Learning with R

I did like the exercises.

Office for National Statistics

Course - Natural Language Processing with Python