NobleProg delivers high-quality Python training courses in Berlin, the dynamic heart of Germany's tech and innovation sector. Participants benefit from expert-led instruction tailored to the professional needs of the capital's diverse industry landscape. Join our Berlin-based programs to enhance your skills with hands-on learning experiences in a world-class urban environment.
Offered as either online or onsite instructor-led sessions, these live Python training courses emphasize practical, hands-on experience with the Python programming language. The curriculum addresses a broad spectrum of topics, including core programming fundamentals, advanced language features, test automation, scripting for workflow optimization, and leveraging Python for Data Analysis and Big Data applications, particularly within the Finance, Banking, and Insurance sectors.
Additionally, NobleProg's Python training programs encompass both introductory and advanced coursework focused on utilizing Python libraries and frameworks for Machine Learning and Deep Learning.
Python training is accessible through "online live training" or "onsite live training" modalities. Online live training (also referred to as "remote live training") is delivered via an interactive remote desktop environment. Onsite live training is available either directly at the customer's premises or within NobleProg's corporate training centers.
Our training facilities are located at Brückenstr. 4 in Berlin. Located on the fourth floor of a well-kept office building, our premises offer enough space for successful training courses in the heart of Berlin, within walking distance of the Jannowitzbrücke station.
Directions
The NobleProg training facilities are located in the heart of Berlin's Mitte district, just one underground station from Alexanderplatz, one of the centres of this vibrant city. By public transport you can reach us either by underground line U8 to Jannowitzbrücke station, followed by about 100 meters on foot.
Parking
Cars can be parked in the area along Brückenstr. and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Amenities
Around the Rosenthaler Platz there are numerous small restaurants and shops where you can eat well and cheaply. There are also some hotels close by if you need accommodation for the training.
Our training facilities are located at Dianastrasse 46 in Potsdam-Babelsberg.
Our spacious training rooms are located directly opposite the Filmstudios Babelsberg and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are conveniently located near the Medienstadt Babelsberg railway station,
and the A115 motorway is also easily accessible.
Parking
Parking is available in the surrounding streets around our training rooms.
Local Services
Potsdam offers numerous hotels and restaurants and is easily accessible thanks to its well-developed public transport system.
This instructor-led, live training in Berlin emphasizes the practical application of Python for autonomous AI agents. By covering modern SDKs such as LangChain and AutoGen, it empowers engineers to build, connect, and orchestrate sophisticated agent workflows with confidence.
This live, instructor-led training in Berlin delves into hands-on Python strategies for creating autonomous agents. It addresses core components such as agent loops, tool integrations, memory management, orchestration, and safety protocols. Specifically designed for ML engineers, the course emphasizes the deployment of robust, production-ready agents.
This intermediate Berlin course enables Python developers to architect and launch AI solutions using advanced libraries. You will learn to implement supervised, unsupervised, and reinforcement learning models, refine neural networks, and effectively embed AI into practical workflows.
This live, instructor-led training in Berlin (offered online or onsite) is designed for intermediate Python developers aiming to refine their development practices through the use of AWS Cloud9.
By the end of the session, participants will be capable of:
Setting up and configuring AWS Cloud9 for Python development.
Understanding the AWS Cloud9 IDE interface and its features.
Writing, debugging, and deploying Python applications within AWS Cloud9.
Collaborating with other developers using the AWS Cloud9 platform.
Integrating AWS Cloud9 with other AWS services for advanced deployment scenarios.
This live, instructor-led training in Berlin (online or onsite) is tailored for expert-level data analysts aiming to leverage Python's analytical capabilities within Power BI, enhancing their proficiency in data analysis and visualization.
By the end of this training, participants will be able to:
Understand the integration of Python into Power BI for analytical purposes.
Employ Python scripts to load, clean, and preprocess data within the Power BI ecosystem.
Expand visualization capabilities by developing custom, interactive visuals using Python.
Develop advanced data analysis competencies through the use of Python.
This instructor-led training in Berlin empowers professionals with practical Python skills for data operations. Participants will learn to handle CSV and Excel files using Pandas and Polars. The curriculum covers data cleaning, transformation, and automation to boost productivity and efficiency.
This instructor-led, live training in Berlin explores advanced Python techniques, engineering best practices, and design patterns. It empowers developers to build maintainable, testable, and high-performance applications by utilizing modern tooling, typing, and concurrency models for production-grade systems.
This instructor-led live training, delivered in Berlin (either online or onsite), is specifically designed for junior developers and data analysts looking to acquire Python programming skills from the basics using Google Colab.
By the conclusion of this course, learners will be equipped to:
Comprehend the essential concepts of Python.
Deploy Python code within the Google Colab platform.
Leverage control structures to govern program logic.
Construct functions for efficient code management and reusability.
This live, instructor-led training (available online or on-site) is tailored for developers aiming to utilize the FARM (FastAPI, React, and MongoDB) stack to build dynamic, high-performance, and scalable web applications.
By the conclusion of this training, participants will be equipped to:
Set up a development environment that seamlessly integrates FastAPI, React, and MongoDB.
Comprehend the fundamental concepts, features, and benefits inherent to the FARM stack.
Learn how to construct REST APIs using FastAPI.
Learn how to design interactive applications using React.
Develop, test, and deploy complete applications (front end and back end) using the FARM stack.
This instructor-led live training, available in Berlin (either online or onsite), is tailored for robotics developers from beginner to intermediate levels, and potentially advanced practitioners, who seek to learn how to utilize ROS for programming mobile robots with Python.
By the end of this training, participants will be able to:
Set up a development environment that encompasses ROS, Python, and a mobile robot platform.
Create and run ROS nodes, topics, services, and actions using Python.
Employ ROS tools and utilities to oversee and debug ROS applications.
Apply ROS packages and libraries to execute typical mobile robot tasks.
Integrate ROS with a variety of other frameworks and tools.
This intensive 4-day Python programming course in Berlin emphasizes core language constructs, standard libraries, and essential community tools. With a focus on 70% hands-on practical application, participants will develop proficiency in data structures, object-oriented programming, error management, file operations, database interactions, and web application development using Python 3.x.
This live, instructor-led training in Berlin (delivered online or on-site) is tailored for developers aiming to acquire advanced Python programming skills, including the application of this flexible language to solve problems in domains like distributed systems, data analytics and visualization, interface development, and automation scripting.
Perfect for newcomers, this Berlin module explores the basics of Python, including essential libraries and community-driven utilities. Participants will gain competence in handling data structures, implementing object-oriented and functional patterns, and managing files, thereby building practical abilities for both commercial applications and scientific analysis.
This instructor-led, live training offered in Berlin is based on the acclaimed book, "Automate the Boring Stuff with Python", by Al Sweigart. Tailored for beginners, it covers essential Python programming concepts through practical, hands-on exercises and discussions. The core focus is on learning to write code that dramatically enhances office productivity.
Upon finishing this training, participants will be able to program in Python and apply these new skills for:
Automating tasks by writing simple Python programs.
Writing programs that perform text pattern recognition with "regular expressions".
Programmatically generating and updating Excel spreadsheets.
Parsing PDFs and Word documents.
Crawling websites and extracting information from online sources.
Writing programs that send email notifications.
Using Python's debugging tools to quickly resolve bugs.
Programmatically controlling the mouse and keyboard to click and type on your behalf.
In this instructor-led, live training conducted in Berlin, participants will master the most relevant and cutting-edge machine learning techniques in Python. The curriculum involves building a series of demonstration applications that process image, music, text, and financial data.
By the conclusion of this training, participants will be capable of:
Implementing machine learning algorithms and techniques to resolve complex issues.
Applying deep learning and semi-supervised learning to scenarios involving image, music, text, and financial data.
Maximizing the performance of Python algorithms.
Utilizing key libraries and packages, including NumPy and Theano.
This instructor-led, live session in Berlin (online or in-person) is tailored for intermediate Python developers and data analysts seeking to deepen their expertise in data analysis and manipulation through the use of Pandas and NumPy.
By the end of the training, participants will be able to:
Establish a development environment featuring Python, Pandas, and NumPy.
Build data analysis applications with Pandas and NumPy.
Carry out advanced data wrangling, sorting, and filtering processes.
Execute aggregate operations and analyze time-series data.
Visualize data using Matplotlib and additional visualization tools.
Debug and enhance the performance of their data analysis code.
Gain hands-on experience in applying Machine Learning techniques using Python at this Berlin training. The curriculum explores fundamental algorithms such as regression, classification, and clustering, guiding you through making strategic modeling decisions, interpreting outcomes, and validating results via practical, real-world case studies.
This 35-hour instructor-led program in Berlin guides participants in leveraging Python to build robust financial applications. Through a hands-on approach combining lectures with intensive practical exercises, it covers essential topics such as data analysis, asset allocation, and risk management.
Spanning 35 hours, this training program explores the practical application of Data Science and AI using Python, including placeholder Berlin. Learners will delve into CRISP-DM processes, machine learning with TensorFlow, NLP, and big data solutions with Spark. It is an excellent fit for beginners looking to build industry-ready analytics capabilities and pursue Python data science certification for real-world business applications.
This practical training in Berlin empowers programmers to develop AI models from scratch using Python. You will gain proficiency in supervised learning, neural networks, and unsupervised techniques by utilizing scikit-learn and Apache Spark. The program emphasizes hands-on Jupyter exercises to address real-world challenges effectively.
This instructor-led session on Berlin explores Selenium 4 and Python for web test automation, covering WebDriver, Page Object Model, and Grid. Participants will craft robust scripts using Pytest, integrate tests into CI/CD workflows, and implement best practices for stable, scalable testing suites.
This live, instructor-led training in Berlin (delivered online or onsite) caters to Matlab users seeking to discover or transition to Python for data analytics and visualization.
By the end of the course, participants will be able to:
Install and configure a Python development environment.
Understand the nuances and similarities between Matlab and Python syntax.
Apply Python to gain insights from a variety of datasets.
This instructor-led, live training in Berlin (online or onsite) is designed for individuals who want to learn just enough Python to start analyzing figures from sales data, traffic analytics, customer interactions, and other similar sources.
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 analysis.
Perform simple statistical analyses.
Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
Gain valuable insights from data, including trends in performance and problematic areas.
This practical training in Berlin empowers data engineers to acquire hands-on AI and LLM engineering capabilities using Python. Through guided exercises and industry-relevant case studies, participants investigate prompt design, model integration, and production-ready workflows to construct complete, deployable AI solutions.
This live, instructor-led training in Berlin (available online or in-person) is designed for developers seeking to utilize FastAPI with Python to efficiently build, test, and deploy RESTful APIs.
By the conclusion of this program, participants will be equipped to:
Configure the essential development environment for API creation using Python and FastAPI.
Accelerate API development with minimal complexity by leveraging the FastAPI library.
Master the creation of data models and schemas grounded in Pydantic and OpenAPI specifications.
Establish database connections for APIs utilizing SQLAlchemy.
Enforce security and authentication frameworks within APIs by applying FastAPI’s native utilities.
Generate container images and execute the deployment of web APIs to cloud servers.
This live, instructor-led training program, conducted at Berlin (either online or on-site), is tailored for data scientists seeking to utilize TensorFlow for the analysis of potential fraud data.
By the conclusion of this training, participants will have the capability to:
Build a fraud detection model utilizing Python and TensorFlow.
Develop linear regression and associated models to predict fraud.
Create a complete, end-to-end AI application for analyzing fraud data.
This instructor-led live training, conducted in Berlin (either online or onsite), is tailored for network engineers seeking to utilize Python for the maintenance, management, and design of computer networks.
By the conclusion of this training, participants will be capable of:
Leveraging Paramiko, Netmiko, Napalm, Telnet, and pyntc to optimize network automation using Python.
Mastering the application of multi-threading and multiprocessing in network automation contexts.
Employing GNS3 and Python for advanced network programming tasks.
This live, instructor-led training in Berlin (available online or onsite) is designed for business professionals and data analysts with intermediate Python skills who wish to use Python to automate workflows, analyze business data, and generate dynamic Excel-based reports.
Gain a practical foundation in image processing and Computer Vision through this hands-on, instructor-led training in Berlin. Participants will utilize Python to build systems for face, object, and motion detection, exploring core algorithms and real-world applications.
This practical course is tailored for Unix and shell users seeking to elevate their automation skills through Python. Although shell scripting is effective for basic tasks, Python offers superior flexibility, readability, and scalability for complex automation, system administration, and DevOps pipelines.
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Testimonials (7)
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
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
Got to know a lot of new thngs.
Roland - Diehl Aviation
Course - Advanced Python - 4 Days
I liked the web programming, I would like to learn more and the test_automation because it had a different aproach from what I do at work, the preparation of the course with the lessons and examples very nice. Also very important that fact that at the end of the day we get the results, if we couldn't run the code without error or we missed some steps!
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