Artificial Intelligence (AI) Training in Alexandria

I really appreciated Vincent's enthusiasm, professionalism and knowledge. I was able to do well-guided and illustrated practical exercises, directly applying the AI tool in the context of my professional activity as a communications manager for unions. This was made possible by the interview prior to the 2-day training to determine the training program.

Claude - Internationale de l'Éducation

Course - ChatGPT for Content Creation

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His way of gaining audience

Venkata Narasimha Murthy - 6Point6

Course - ChatGPT for Automation

We had an overview about Machine Learning, Neural Networks, AI with practical examples.

Catalin - DB Global Technology SRL

Course - Machine Learning and Deep Learning

Last day with the AI

Ovidiu - DB Global Technology SRL

Course - Machine Learning and Deep Learning

Exercises and exchanges during questions/answers

Antoine - Physiobotic

Course - Scaling Data Pipelines with Spark NLP

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The good humor, support and skills of the trainer.

Oumayma - Physiobotic

Course - Scaling Data Pipelines with Spark NLP

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Specific knowledge provided in an accessible way. Answering questions and dispelling doubts

Szymon - Web INnovative Software Sp. z o.o.

Course - ChatGPT (GPT-4) for Developers

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balance between lectures and workshops

Bartek - Web INnovative Software Sp. z o.o.

Course - ChatGPT (GPT-4) for Developers

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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

How she could engage with us on all levels

Cheryl - Tuffias Sandberg

Course - ChatGPT for Human Resources

The slides, being able to ask questions and the trainer going above and beyond to assist us

Michaela - Tuffias Sandberg

Course - ChatGPT for Human Resources

examples and exercises

Kamil

Course - Introduction to Data Science and AI using Python

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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

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

Real life examples.

Craig - Hollard Insure

Course - ChatGPT

Gaurav's clear explanations and practical application examples.

Neil - Hollard Insure

Course - ChatGPT

All the information presented

Jose Victor - si

Course - Artificial Intelligence (AI) for Managers

The exercises and examples presented.

Marcos - si

Course - Artificial Intelligence (AI) for Managers

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examples based on our data

Witold - P4 Sp. z o.o.

Course - Deep Learning for Telecom (with Python)

code examples:-)

Marcin - P4 Sp. z o.o.

Course - Deep Learning for Telecom (with Python)

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.

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Drawings on a flipchart, the entire training.

Kasia Nawrot - Orange Szkolenia Sp. z o.o.

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The quantity of exercises performed. Help from the trainer on each problem encountered during the exercises. He clarifies the process for us without giving the result.

Fabien Follet - Autoliv

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The skills of the trainer, and the good atmosphere.

Sébastien CADET - Autoliv

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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)

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 structure from first principles, to case studies, to application.

Margaret Webb - Department of Jobs, Regions, and Precincts

Course - Introduction to Deep Learning

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

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 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 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 engagement of the instructor

Wayne Jeftha - Vodacom

Course - Microsoft Bot Framework Composer

The detail in which the instructor explained all the concepts.

Privolin Naidoo - Vodacom

Course - Microsoft Bot Framework Composer

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

Trainer was very knowlegable and very open to feedback on what pace to go through the content and the topics we covered. I gained alot from the training and feel like I now have a good grasp of image manipulation and some techniques for building a good training set for an image classification problem.

Anthea King - WesCEF

Course - Computer Vision with Python

The theoretical explanations

Molatelo Tloubatla - University Of South Africa

Course - Data Science: Analysis and Presentation

Machine learning, python, data manipulation

Siphelo Mapolisa - University Of South Africa

Course - Data Science: Analysis and Presentation

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)

Quantum computing algorithms and related theoretical background know-how of the trainer is excellent. Especially I'd like to emphasize his ability to detect exactly when I was struggling with the material presented, and he provided time&support for me to really understand the topic - that was great and very beneficial! Virtual setup with Zoom worked out very well, as well as arrangements regarding training sessions and breaks sequences. It was a lot of material/theory to cover in "only" 2 days, wo the trainer had nicely adjusted the amount according to the progress related to my understanding of the topics. Maybe planning 3 days for absolute beginners would be better to cover all the material and content outlined in the agenda. I very much liked the flexibility of the trainer to answer my specific questions to the training topics, even additionally coming back after the breaks with more explanation in case neccessary. Big thank you again for the sessions! Well done!

Giorgi Ediberidze

Course - Quantum Computing with IBM Quantum Experience

Very knowledgeable

Usama Adam - TWPI

Course - Natural Language Processing with TensorFlow

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 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

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

I was benefit from the passion to teach and focusing on making thing sensible.

Zaher Sharifi - GOSI

Course - Advanced Deep Learning

the matter was well presented and in an orderly manner.

Marylin Houle - Ivanhoe Cambridge

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

Richard's training style kept it interesting, the real world examples used helped to drive the concepts home.

Jamie Martin-Royle - 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

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 flexible.

Frank Ueltzhöffer

Course - Artificial Neural Networks, Machine Learning and Deep Thinking

Very updated approach or CPI (tensor flow, era, learn) to do machine learning.

Paul Lee

Course - TensorFlow for Image Recognition

I mostly enjoyed the graphs in R :))).

Faculty of Economics and Business Zagreb

Course - Neural Network in R

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

Very good all round overview. Good background into why Tensorflow operates as it does.

Kieran Conboy

Course - Neural Networks Fundamentals using TensorFlow as Example

Doing exercises on real examples using Eras. Italy totally understood our expectations about this training.

Paul Kassis

Course - Advanced Deep Learning

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

Mohamed Salama

Course - Data Mining & Machine Learning with R

I genuinely enjoyed the hands-on approach.

Kevin De Cuyper

Course - Computer Vision with OpenCV

I did like the exercises.

Office for National Statistics

Course - Natural Language Processing with Python

The interactive part, tailored to our specific needs.

Thomas Stocker

Course - Introduction to the use of neural networks

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

He was very informative and helpful.

Pratheep Ravy

Course - Predictive Modelling with R