Liège, Place des Guillemins

NobleProg Liège, 2 Place des Guillemins, Liège, Belgium, 4000

Luik is de hoofdstad van de provincie Luik en de economische hoofdstad van Wallonië. Door het aantal inwoners is het de eerste Waalse agglomeratie, de derde agglomeratie van België na Brussel en Antwerpen en de vierde gemeente na Antwerpen, Gent en Charleroi. Luik is lange tijd een grote industriestad geweest, maar sinds de jaren zestig heeft het een lange neergang ondergaan, waarbij de fabrieken in verval raken. Luik is ook sterk afhankelijk van transport en multimodaliteit. Luik is een belangrijk economisch centrum met zijn autonome haven, de tweede binnenhaven in West-Europa en zijn luchthaven gespecialiseerd in vracht. In feite blijft de stad de economische hoofdstad van Wallonië.

Subcategories (11)

Django

Django
Flask

Flask
PyQt

PyQt
Kivy

Kivy
Web2py

Web2py
PyGame

PyGame
SciPy

SciPy
FastAPI

FastAPI
Dask

Dask
Pandas

Pandas
NLTK

NLTK

Explore Our Courses

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Note
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Applied AI from Scratch in Python

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Python for Excel

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BDD with Python and Behave

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Python for Matlab Users

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  • Interactive lecture and discussion.
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Course Customization Options
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Build REST APIs with Python and Flask

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Web Scraping with Python

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Scaling Data Analysis with Python and Dask

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Algorithmic Trading with Python and R

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Building Chatbots in Python

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Audience
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  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
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GPU Programming with CUDA and Python

 14 Hours
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Data Mining with Python

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Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Monax: Build a Smart Contract Application

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Developing APIs with Python and FastAPI

 14 Hours
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Web Application Development with Flask

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Advanced Flask

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Fraud Detection with Python and TensorFlow

 14 Hours
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 14 Hours
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Python for Natural Language Generation (NLG)

 21 Hours
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Game Development with PyGame

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Penetration Testing: Python and Kali Linux

 14 Hours
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Backend Development with Python

 35 Hours
This instructor-led, live training in Liege (online or onsite) is aimed at developers who wish to use Python as the server-side language to create a web application. Various techniques and frameworks will be explored to arrive at the most suitable one for a given problem. By the end of this training, participants will be able to:
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  • Write the code needed to enable common functionality expected by end users of an application (forms, database queries, calculations, etc.)
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Analyzing Financial Data with Python

 35 Hours
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  • Use Python for financial applications including implementing mathematical techniques, stochastics, and statistics
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Audience
  • Developers
  • Quantitative analysts
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Computer Vision with Python

 14 Hours
Computer Vision is a field that involves automatically extracting, analyzing, and understanding useful information from digital media. Python is a high-level programming language famous for its clear syntax and code readibility. In this instructor-led, live training, participants will learn the basics of Computer Vision as they step through the creation of set of simple Computer Vision application using Python. By the end of this training, participants will be able to:
  • Understand the basics of Computer Vision
  • Use Python to implement Computer Vision tasks
  • Build their own face, object, and motion detection systems
Audience
  • Python programmers interested in Computer Vision
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Python Security

 14 Hours
This course introduces the student to the Python language. Upon completion of this class, the student will be able to write non trivial Python programs dealing with a wide variety of subject matter domains. Topics include language components, working with a professional IDE, control flow constructs, strings, I/O, collections, classes, modules, and regular expressions. The course is supplemented with many hands-on labs, solutions, and code examples. After Completing the course students will be able to demonstrate knowledge and understanding of Python Security Principles.         
 
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Scientific Computing with Python SciPy

 7 Hours
This instructor-led, live training in Liege (online or onsite) is aimed at developers who wish to use SciPy to create advanced scientific computing functions with Python. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start creating scientific computing functions.
  • Get the full benefit of SciPy features by performing practical examples of complex operations.
  • Implement and optimize mathematical algorithms and functions to solve scientific problems.
  • Design data structures and interpolation methods for visualization, processing, and analysis.
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Natural Language Processing (NLP) with Python spaCy

 14 Hours
This instructor-led, live training (online or onsite) is aimed at developers and data scientists who wish to use spaCy to process very large volumes of text to find patterns and gain insights. By the end of this training, participants will be able to:
  • Install and configure spaCy.
  • Understand spaCy's approach to Natural Language Processing (NLP).
  • Extract patterns and obtain business insights from large-scale data sources.
  • Integrate the spaCy library with existing web and legacy applications.
  • Deploy spaCy to live production environments to predict human behavior.
  • Use spaCy to pre-process text for Deep Learning
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
  • To learn more about spaCy, please visit: https://spacy.io/
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Data Analysis with Tableau and Python

 14 Hours
Tableau is a business intelligence and data visualization tool. Python is a widely used programming language which provides support for a wide variety of statistical and machine learning techniques. Tableau's data visualization power and Python's machine learning capabilities, when combined, help developers rapidly build advanced data analytics applications for various business use cases. In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API. By the end of this training, participants will be able to:
  • Integrate Tableau and Python using TabPy API
  • Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code
Audience
  • Developers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Text Summarization with Python

 14 Hours
In Python Machine Learning, the Text Summarization feature is able to read the input text and produce a text summary. This capability is available from the command-line or as a Python API/Library. One exciting application is the rapid creation of executive summaries; this is particularly useful for organizations that need to review large bodies of text data before generating reports and presentations. In this instructor-led, live training, participants will learn to use Python to create a simple application that auto-generates a summary of input text. By the end of this training, participants will be able to:
  • Use a command-line tool that summarizes text.
  • Design and create Text Summarization code using Python libraries.
  • Evaluate three Python summarization libraries: sumy 0.7.0, pysummarization 1.0.4, readless 1.0.17
Audience
  • Developers
  • Data Scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Accelerating Python Pandas Workflows with Modin

 14 Hours
This instructor-led, live training in Liege (online or onsite) is aimed at data scientists and developers who wish to use Modin to build and implement parallel computations with Pandas for faster data analysis. By the end of this training, participants will be able to:
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  • Understand the features, architecture, and advantages of Modin.
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  • Perform Pandas operations faster with Modin.
  • Implement the entire Pandas API and functions.
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Testimonials (23)

The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)

Matthieu - CS Group

Course - Scaling Data Analysis with Python and Dask

Very interactive with various examples, with a good progression in complexity between the start and the end of the training.

Jenny - Andheo

Course - GPU Programming with CUDA and Python

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

Jenna - TCMT

Course - Machine Learning with Python – 2 Days

Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)

Monika - Procter & Gamble Polska Sp. z o.o.

Course - Developing APIs with Python and FastAPI

It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course

Bozena Stansfield - New College Durham

Course - Build REST APIs with Python and Flask

Exercises were nice

Vyshnavi Iyappan - Red Embedded Consulting Sp. z o.o.

Course - Unit Testing with Python

The explaination

Wei Yang Teo - Ministry of Defence, Singapore

Course - Machine Learning with Python – 4 Days

Very hands-on practice, engaging and good amount of breaks in between. Thus did not feel tired/lethargic.

Charles Lim - Ministry of Defence, Singapore

Course - Python for Data Analysis

Many different examples and topics has been covered, from basic investigation to login management and dynamic page management.

Daniele Tagliaferro - Creditsafe Italia Srl

Course - Web Scraping with Python

The trainer has deep knowledge about the subject and was able to answer all of our questions.

Lefteris Spatharakis - Sioufas & Associates Law Firm

Course - Django CMS for Developers

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

Trainer was accommodative. And actually quite encouraging for me to take up the course.

Grace Goh - DBS Bank Ltd

Course - Python in Data Science

Subject presentation knowledge timing

Aly Saleh - FAB banak Egypt

Course - Introduction to Data Science and AI (using Python)

Trainer develops training based on participant's pace

Farris Chua

Course - Data Analysis in Python using Pandas and Numpy

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 trainer was great! If he would have more time I think we could have learned a lot more.

Zarim Jei Serrano - Cloudstaff Philippines, Inc.

Course - Python Programming Fundamentals

1:1 very intensive but learnt a lot.

Karen Dyke - BT

Course - Python: Automate the Boring Stuff

The trainer was excellent, He was always ready to answer my questions and share as much knowledge as he could.

Fahad Malalla - Tatweer Petroleum

Course - Advanced Python

I mostly enjoyed everything.

Thukten Dendup - Bhutan Telecom

Course - Web Development with Django

In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.

Sacha Nandlall

Course - Python for Advanced Machine Learning

I did like the exercises.

Office for National Statistics

Course - Natural Language Processing with Python

As I was the only participant the training could be adapted to my needs.

Kevin THIERRY

Course - Web Development with Web2Py

I preferred the exercise and learning about the nooks and crannies of Python.

Connor Brierley-Green

Course - Python Programming

Provisional Upcoming Courses (Contact Us For More Information)

Advanced Python - 4 Days

2025-05-06 09:30
28 hours
Liège, Place des Guillemins
4950 EUR (Online)
5750 EUR (Classroom)

Accelerating Python Pandas Workflows with Modin

2025-05-20 09:30
14 hours
Liège, Place des Guillemins
2550 EUR (Online)
2950 EUR (Classroom)

Text Summarization with Python

2025-06-03 09:30
14 hours
Liège, Place des Guillemins
2550 EUR (Online)
2950 EUR (Classroom)

Monax: Build a Smart Contract Application

2025-06-17 09:30
7 hours
Liège, Place des Guillemins
1550 EUR (Online)
1750 EUR (Classroom)

Natural Language Processing (NLP) with Python spaCy

2025-07-01 09:30
14 hours
Liège, Place des Guillemins
2550 EUR (Online)
2950 EUR (Classroom)

Penetration Testing: Python and Kali Linux

2025-07-15 09:30
14 hours
Liège, Place des Guillemins
2550 EUR (Online)
2950 EUR (Classroom)

ROS for Mobile Robots using Python

2025-07-29 09:30
21 hours
Liège, Place des Guillemins
3750 EUR (Online)
4350 EUR (Classroom)

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