Choose from online or onsite, instructor-led live Python training courses that emphasize hands-on practice to explore various aspects of the Python programming language. Key topics include the fundamentals and advanced concepts of Python, its application in test automation, scripting and workflow automation, and leveraging Python for Data Analysis and Big Data applications within the Finance, Banking, and Insurance sectors.
NobleProg’s Python training curriculum also encompasses introductory and advanced modules dedicated to utilizing Python libraries and frameworks for Machine Learning and Deep Learning.
Python training is accessible through two modes: "online live training" or "onsite live training". Online live training (also referred to as "remote live training") utilizes an interactive, remote desktop environment. Onsite live training can be conducted locally at customer premises or at NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Nantes, Zenith
NobleProg Nantes, 4 rue Edith Piaf, Saint-Herblain, france, 44821
In the Parc d'Ar Mor zone, near the Zénith.
Car : from the ring road, Porte de Chézine Exit> Boulevard du Zenith > Esplanade Georges Brassens (restaurants) > Rue Edith Piaf on the right. From the N444 road (Nantes > Lorient), Exit #1 > boulevard Marcel Paul > Rue Edith Piaf at the right.
Parking Zénith P1 (free). Once parked, you can recognize the building: it's one of the tree bulding with zinc frontage.
Bicycle: free indoor parking
Public transport :
Tramway R1, Schoelcher station + 10 mn by foot through commercial center Atlantis
Tramway R1, François Mitterrand stop + bus 50, stop at Saulzaie station or bus 71, stop at the Zénith station
Tramway R3, Marcel Paul station + bus 50, Saulzaie station
Chronobus C6, Hermeland station+ bus 71, Zénith station
Bus : lignes 50 (Saulzaie station) or 71 (Zénith station)
This instructor-led, live training in Nantes 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 live, instructor-led training in Nantes focuses on practical Python methodologies for developing autonomous agents, covering agent loops, tool integration, memory management, orchestration, and safety controls. Specifically designed for ML engineers, it emphasizes the deployment of robust, production-ready agents.
This intermediate training in Nantes 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 Nantes (online or onsite) is designed for intermediate-level Python developers who aim to enhance their Python development experience using AWS Cloud9.
By the conclusion of this training, participants will be able to:
Set up and configure AWS Cloud9 for Python development.
Understand the AWS Cloud9 IDE interface and its 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 Nantes (online or onsite) targets 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 Nantes 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 Nantes 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 Nantes (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:
Grasp the fundamentals of the Python programming language.
Write and run Python code within the Google Colab environment.
Apply control structures to manage the flow of a Python program.
Develop functions to organize and reuse code effectively.
Explore and utilize basic libraries for Python programming.
This instructor-led live training, offered online or onsite, is intended for developers aiming to leverage 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 Nantes (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 Nantes 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 Nantes (online or on-site) is designed for developers who want to master advanced Python programming techniques. The course covers how to leverage this versatile language to address challenges in areas such as distributed applications, data analysis and visualization, UI development, and maintenance scripting.
Ideal for beginners, this course in Nantes 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 Nantes 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 Nantes, participants will master the most relevant and cutting-edge machine learning techniques in Python by building a series of demonstration applications that process image, music, text, and financial data.
By the end of this training, participants will be able to:
Implement machine learning algorithms and techniques to solve 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.
Utilize libraries and packages such as NumPy and Theano.
This instructor-led, live training in Nantes (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.
Build hands-on expertise in applying Machine Learning methods using Python in this Nantes training. The curriculum covers core algorithms such as regression, classification, and clustering, guiding you through making modeling decisions, interpreting outputs, and validating results via real-world case studies.
This 35-hour instructor-led course in Nantes guides participants in using Python to create practical financial applications. Through a hands-on methodology that blends lectures with rigorous practical exercises, it addresses critical areas such as data analysis, asset allocation, and risk management.
This 35-hour program on Nantes focuses on practical Data Science and AI applications using Python. Participants will master CRISP-DM workflows, machine learning with TensorFlow, NLP, and Big Data processing with Spark. It is an excellent choice for beginners aiming to build career-ready analytical skills and earn Python data science certification for business environments.
This practical training in Nantes 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 Nantes 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 Nantes (online or onsite) is designed for Matlab users who wish to explore or transition to Python for data analytics and visualization.
Upon completion 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 extract insights from various datasets.
This instructor-led, live training in Nantes (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 training, delivered by an instructor in Montpellier or remotely (online or onsite), is intended for beginners and/or intermediate learners who wish to acquire a solid foundation in Object-Oriented Python, software quality, and best practices.
By the end of the training, participants will be able to:
Write clean, structured Python code
Design object-oriented architecture
Apply SOLID principles and best practices
Implement robust unit tests
Establish a comprehensive software quality process
This hands-on training in Nantes 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 Nantes (online or onsite) targets developers who wish to use FastAPI with Python to build, test, and deploy RESTful APIs more easily and quickly.
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 Nantes (online or onsite) is designed for network engineers who want to maintain, manage, and design computer networks using 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 Nantes (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 Nantes. 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 practical course is tailored for Unix and shell users aiming to upgrade their automation skills through the power of Python. While shell scripting is effective for basic tasks, Python offers superior flexibility, readability, and scalability, making it the ideal choice 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.
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