Online or onsite, instructor-led live Python training courses demonstrate through hands-on practice various aspects of the Python programming language. Some of the topics covered include the fundamentals of Python programming, advanced Python programming, Python for test automation, Python scripting and automation, and Python for Data Analysis and Big Data applications in areas such as Finance, Banking and Insurance.
NobleProg Python training courses also cover beginning and advanced courses in the use of Python libraries and frameworks for Machine Learning and Deep Learning.
Python training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Brugge onsite live Python trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
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Bruges
NH Hotel Bruges, Boeveriestraat 2, Bruges, Belgium, 8000
Bruges became a central port, commercial and financial hub in medieval Europe, linking the countries of the North Sea and the Baltic to the Mediterranean. Wealthy merchants from Bruges traded with those from all over Europe. The first stock exchange in history was born in Bruges in the 13th century. In the 15th century it was the leading financial center in Europe. This economic boom also leads to a cultural and artistic flowering that has left an abundant heritage. It was the most important center for the Flemish primitive painters, who revolutionized Western painting. It has been a member of the Organization of World Heritage Cities since the year 2000. The city even has the distinction of appearing three times on the UNESCO World Heritage List. For its historic center, for its beguinage which is part of the Flemish Beguinages and for its belfry included among the Belfries of Belgium and France. In addition, it is also listed as Intangible Cultural Heritage of Humanity by UNESCO for its Procession of the Holy Blood.
This instructor-led, live training in Brugge focuses on practical Python implementation for autonomous AI agents. It covers modern SDKs like LangChain and AutoGen, enabling engineers to build, connect, and orchestrate complex agent workflows with confidence.
This instructor-led live training in Brugge covers practical Python techniques for building autonomous agents, including agent loops, tool integrations, memory management, orchestration, and safety controls. Ideal for ML engineers, it focuses on deploying robust, production-ready agents.
This intermediate training in Brugge empowers Python developers to design and deploy AI solutions using advanced libraries. You will implement supervised, unsupervised, and reinforcement learning models, optimize neural networks, and integrate AI into real-world workflows effectively.
This instructor-led, live training in Brugge (online or onsite) is aimed at intermediate-level Python developers who wish to enhance their Python development experience using AWS Cloud9.
By the end of this training, participants will be able to:
Set up and configure AWS Cloud9 for Python development.
Understand the AWS Cloud9 IDE interface and features.
Write, debug, and deploy Python applications in AWS Cloud9.
Collaborate with other developers using the AWS Cloud9 platform.
Integrate AWS Cloud9 with other AWS services for advanced deployments.
This instructor-led, live training in Brugge (online or onsite) is aimed at expert-level data analysts who wish to leverage Python's data analysis capabilities within Power BI, enhancing their ability to analyze and visualize data effectively.
By the end of this training, participants will be able to:
Learn how Python can be integrated into Power BI for data analysis.
Use Python scripts to load, clean, and preprocess data within the Power BI environment.
Enhance data visualization capabilities by creating custom and interactive visualizations using Python.
Acquire advanced data analysis skills using Python.
This instructor-led training in Brugge equips professionals with practical Python skills for data tasks. Participants will learn to manipulate CSV and Excel files using Pandas and Polars. The course covers data cleaning, transformation, and automation to enhance productivity and efficiency.
This instructor-led, live training in Brugge covers advanced Python techniques, engineering best practices, and design patterns. It helps developers build maintainable, testable, and high-performance applications using modern tooling, typing, and concurrency models for production-grade systems.
This instructor-led, live training in Brugge (online or onsite) is aimed at beginner-level developers and data analysts who wish to learn Python programming from scratch using Google Colab.
By the end of this training, participants will be able to:
Understand the basics of Python programming language.
Implement Python code in Google Colab environment.
Utilize control structures to manage the flow of a Python program.
Create functions to organize and reuse code effectively.
Explore and use basic libraries for Python programming.
This instructor-led, live training in (online or onsite) is aimed at developers who wish to use the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.
By the end of this training, participants will be able to:
Set up the necessary development environment that integrates FastAPI, React, and MongoDB.
Understand the key concepts, features, and benefits of the FARM stack.
Learn how to build REST APIs with FastAPI.
Learn how to design interactive applications with React.
Develop, test, and deploy applications (front end and back end) using the FARM stack.
This instructor-led, live training in Brugge (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.
By the end of this training, participants will be able to:
Set up a development environment that includes ROS, Python, and a mobile robot platform.
Create and run ROS nodes, topics, services, and actions using Python.
Use ROS tools and utilities to monitor and debug ROS applications.
Use ROS packages and libraries to perform common tasks for mobile robots.
This 4-day Python programming course in Brugge focuses on core language features, standard libraries, and community tools. With 70% hands-on practical exercises, participants gain practical skills in data types, OOP, error handling, file management, databases, and web applications using Python 3.x.
This instructor-led, live training in Brugge (online or onsite) is aimed at developers who wish to learn advanced Python programming techniques, including how to apply this versatile language to solve problems in areas such as distributed applications, data analysis and visualization, UI programming and maintenance scripting.
Ideal for beginners, this course in Brugge covers Python fundamentals, core libraries, and community tools. Learners will master data types, OOP, file handling, and best practices, gaining practical skills for real-world applications and scientific data analysis.
This instructor-led, live training in Brugge is based on the popular book, "Automate the Boring Stuff with Python", by Al Sweigart. It is aimed at beginners and covers essential Python programming concepts through practical, hands-on exercises and discussions. The focus is on learning to write code to dramatically increase office productivity.
By the end of this training, participants will know how to program in Python and apply this new skill for:
Automating tasks by writing simple Python programs.
Writing programs that can do text pattern recognition with "regular expressions".
Programmatically generating and updating Excel spreadsheets.
Parsing PDFs and Word documents.
Crawling web sites and pulling information from online sources.
Writing programs that send out email notifications.
Use Python's debugging tools to quickly resolve bugs.
Programmatically controlling the mouse and keyboard to click and type for you.
In this instructor-led, live training in Brugge, participants will learn the most relevant and cutting-edge machine learning techniques in Python as they build a series of demo applications involving image, music, text, and financial data.
By the end of this training, participants will be able to:
Implement machine learning algorithms and techniques for solving complex problems.
Apply deep learning and semi-supervised learning to applications involving image, music, text, and financial data.
Push Python algorithms to their maximum potential.
Use libraries and packages such as NumPy and Theano.
This instructor-led, live training in Brugge (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.
By the end of this training, participants will be able to:
Set up a development environment that includes Python, Pandas, and NumPy.
Create a data analysis application using Pandas and NumPy.
Perform advanced data wrangling, sorting, and filtering operations.
Conduct aggregate operations and analyze time series data.
Visualize data using Matplotlib and other visualization libraries.
Develop practical proficiency in applying Machine Learning methods with Python at this Brugge training. This course covers core algorithms like regression, classification, and clustering, teaching you to make modeling decisions, interpret outputs, and validate results using real-world examples.
This 35-hour instructor-led course in Brugge teaches participants to use Python for building practical financial applications. It covers data analysis, asset allocation, and risk management through a hands-on approach, combining lecture and heavy practical exercises.
This 35-hour training in Brugge covers practical Data Science and AI using Python. Learn CRISP-DM workflows, machine learning with TensorFlow, NLP, and Big Data with Spark. Ideal for beginners seeking career-ready analytics skills and Python data science certification for business contexts.
This practical training in Brugge helps programmers build AI models from scratch using Python. You will master supervised learning, neural networks, and unsupervised techniques using scikit-learn and Apache Spark. It focuses on hands-on Jupyter exercises for real-world problem solving.
This instructor-led training in Brugge covers Selenium 4 and Python for web test automation, including WebDriver, Page Object Model, and Grid. Learners will build robust scripts with Pytest, integrate tests into CI/CD pipelines, and apply best practices for stable, scalable suites.
This instructor-led, live training in Brugge (online or onsite) is aimed at Matlab users who wish to explore and or transition to Python for data analytics and visualization.
By the end of this training, participants will be able to:
Install and configure a Python development environment.
Understand the differences and similarities between Matlab and Python syntax.
Use Python to obtain insights from various datasets.
This instructor-led, live training in Brugge (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc..
By the end of this training, participants will be able to:
Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
Analyze data from sources such as Excel, CSV, JSON files and databases.
Clean data to improve its usefulness before analyzing it.
Perform simple statistical analysis.
Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
Gain valuable insight from data, including trends in performance, problematic areas.
This instructor-led training, available in Montpellier or remotely (online or onsite), is intended for beginners and/or intermediate-level learners who want to establish a strong foundation in Object-Oriented Python, software quality, and best practices.
By the end of the training, learners will be able to:
This hands-on training in Brugge equips data engineers with practical AI and LLM engineering skills using Python. Participants explore prompt design, model integration, and production workflows through guided exercises and real-world case studies, building deployable AI solutions end-to-end.
This instructor-led, live training in Brugge (online or onsite) is aimed at developers who wish to use FastAPI with Python to build, test, and deploy RESTful APIs easier and faster.
By the end of this training, participants will be able to:
Set up the necessary development environment to develop APIs with Python and FastAPI.
Create APIs quicker and easier using the FastAPI library.
Learn how to create data models and schemas based on Pydantic and OpenAPI.
Connect APIs to a database using SQLAlchemy.
Implement security and authentication in APIs using the FastAPI tools.
Build container images and deploy web APIs to a cloud server.
This instructor-led, live training in Brugge (online or onsite) is aimed at data scientists who wish to use TensorFlow to analyze potential fraud data.
By the end of this training, participants will be able to:
Create a fraud detection model in Python and TensorFlow.
Build linear regressions and linear regression models to predict fraud.
Develop an end-to-end AI application for analyzing fraud data.
This instructor-led, live training in Brugge (online or onsite) is aimed at network engineers who wish to maintain, manage, and design computer networks with Python.
By the end of this training, participants will be able to:
Optimize and leverage Paramiko, Netmiko, Napalm, Telnet, and pyntc for network automation with Python.
Master multi-threading and multiprocessing in network automation.
This instructor-led, live training in Brugge (online or onsite) is aimed at business professionals and data analysts with intermediate Python skills who wish to apply Python to automate workflows, analyze business data, and generate dynamic Excel-based reports.
Discover the basics of Computer Vision in this hands-on, instructor-led training in Brugge. Participants will use Python to build face, object, and motion detection systems. This course offers a practical foundation in image processing and computer vision tasks.
This hands-on course is designed for Unix and shell users who want to enhance their automation capabilities by leveraging Python. While shell scripting remains powerful for simple tasks, Python provides significantly greater flexibility, readability, and scalability for complex automation, system administration, and DevOps workflows.
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Testimonials (8)
Basics, which gives confidence to learn and dig more into Pyton.
Monika Yadav - KION BUSINESS SERVICES POLSKA SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIA
The number of users is correct. The trainer delivered the information with enthusiasm.
Alberto Rivas - SEG AUTOMOTIVE SPAIN, S.A.U.
Course - Python Programming - 4 days
The adaptation of exos to our context and the consideration of our request
Amel Guetat - EURO-INFORMATION DEVELOPPEMENTS
Course - Fraud Detection with Python and TensorFlow
Machine Translated
Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.
Nazeera Mohamad - Ministry of Science, Technology and Innovation
Course - Introduction to Data Science and AI using Python
Concrete, hands-on exercises that were relevant to our core business. Having a trainer with a scientific background was a real asset because we could delve into deeper discussions, not just about programming but also about science and how to combine the two.
The practical sessions in Jupyter Notebook format were interesting.
Victor - Vermon
Course - Python for Matlab Users
Machine Translated
Got to know a lot of new thngs.
Roland - Diehl Aviation
Course - Advanced Python - 4 Days
Provisional Upcoming Courses (Contact Us For More Information)
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