Hamburg

NobleProg Hamburg, Eifflerstraße 43, Hamburg, germany, 22769

Overview

Our training facilities are located in the Betahaus at Eifflerstraße 43 in Hamburg. Easily accessible and centrally located in the Hanseatic city steeped in tradition, this is the ideal location for our participants.

Arrival

The NobleProg training facilities are located in the middle of the Schanzenviertel. The nearest bus stops are "Schulterblatt" for Metrobus line 15 and "Sternbrücke" for Metrobus line 3. The nearest S-Bahn and U-Bahn stations are Sternschanze.

Parking

In the area along the Eifflerstrasse and the nearby side streets, cars can be parked, even if you have to search for a moment. There is no charge for parking..

Local Services

The Schanzenviertel offers a wide range of gastronomic options and with Pyjama Park, Hotel Boston and other small and medium-sized hotels, local accommodation is also possible.

Subcategories (4)

Image for the Pattern Recognition

Pattern Recognition
Image for the ML Kit

ML Kit
Image for the RapidMiner

RapidMiner
Image for the AutoML

AutoML

Explore Our Courses

Creating Custom Chatbots with Google AutoML

 14 Hours
This instructor-led, live training in Hamburg (online or onsite) is aimed at participants with varying levels of expertise who wish to leverage Google's AutoML platform to build customized chatbots for various applications. By the end of this training, participants will be able to:
  • Understand the fundamentals of chatbot development.
  • Navigate the Google Cloud Platform and access AutoML.
  • Prepare data for training chatbot models.
  • Train and evaluate custom chatbot models using AutoML.
  • Deploy and integrate chatbots into various platforms and channels.
  • Monitor and optimize chatbot performance over time.
Read more...

Predictive Maintenance with AI in Semiconductor Manufacturing

 14 Hours
This instructor-led, live training in Hamburg (online or onsite) is aimed at intermediate-level professionals who wish to apply AI-driven predictive maintenance techniques in semiconductor manufacturing to enhance production efficiency and reduce unexpected equipment failures. By the end of this training, participants will be able to:
  • Implement AI models for predicting equipment failures in semiconductor manufacturing.
  • Analyze maintenance data to identify patterns and trends indicative of potential issues.
  • Integrate AI-driven predictive maintenance into existing manufacturing workflows.
  • Reduce downtime and maintenance costs through proactive equipment management.
Read more...

Introduction to AI in Semiconductor Manufacturing

 14 Hours
This instructor-led, live training in Hamburg (online or onsite) is aimed at beginner-level professionals who wish to understand and apply AI technologies within the semiconductor manufacturing industry. By the end of this training, participants will be able to:
  • Understand the basic principles of AI and how they apply to semiconductor manufacturing.
  • Identify areas within semiconductor manufacturing where AI can be effectively implemented.
  • Utilize AI tools and techniques to enhance production efficiency and quality control.
  • Implement basic AI models to optimize manufacturing processes.
Read more...

Advanced Analytics with RapidMiner

 14 Hours
This instructor-led, live training in Hamburg (online or onsite) is aimed at intermediate-level data analysts who wish to learn how to use RapidMiner to estimate and project values and utilize analytical tools for time series forecasting. By the end of this training, participants will be able to:
  • Learn to apply the CRISP-DM methodology, select appropriate machine learning algorithms, and enhance model construction and performance.
  • Use RapidMiner to estimate and project values, and utilize analytical tools for time series forecasting.
Read more...

AutoML with Auto-Keras

 14 Hours
This instructor-led, live training in Hamburg (online or onsite) is aimed at data scientists as well as less technical persons who wish to use Auto-Keras to automate the process of selecting and optimizing a machine learning model. By the end of this training, participants will be able to:
  • Automate the process of training highly efficient machine learning models.
  • Automatically search for the best parameters for deep learning models.
  • Build highly accurate machine learning models.
  • Use the power of machine learning to solve real-world business problems.
Read more...

AutoML

 14 Hours
This instructor-led, live training in Hamburg (online or onsite) is aimed at technical persons with a background in machine learning who wish to optimize the machine learning models used for detecting complex patterns in big data. By the end of this training, participants will be able to:
  • Install and evaluate various open source AutoML tools (H2O AutoML, auto-sklearn, TPOT, TensorFlow, PyTorch, Auto-Keras, TPOT, Auto-WEKA, etc.)
  • Train high quality machine learning models.
  • Efficiently solve different types of supervised machine learning problems.
  • Write just the necessary code to initiate the automated machine learning process.
Read more...

Pattern Recognition

 21 Hours
This instructor-led, live training in Hamburg (online or onsite) provides an introduction into the field of pattern recognition and machine learning. It touches on practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. By the end of this training, participants will be able to:
  • Apply core statistical methods to pattern recognition.
  • Use key models like neural networks and kernel methods for data analysis.
  • Implement advanced techniques for complex problem-solving.
  • Improve prediction accuracy by combining different models.
Read more...

DataRobot

 7 Hours
This instructor-led, live training in Hamburg (online or onsite) is aimed at data scientists and data analysts who wish to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities. By the end of this training, participants will be able to:
  • Load datasets in DataRobot to analyze, assess, and quality check data.
  • Build and train models to identify important variables and meet prediction targets.
  • Interpret models to create valuable insights that are useful in making business decisions.
  • Monitor and manage models to maintain an optimized prediction performance.
Read more...

Google Cloud AutoML

 7 Hours
This instructor-led, live training in Hamburg (online or onsite) is aimed at data scientists, data analysts, and developers who wish to explore AutoML products and features to create and deploy custom ML training models with minimal effort. By the end of this training, participants will be able to:
  • Explore the AutoML product line to implement different services for various data types.
  • Prepare and label datasets to create custom ML models.
  • Train and manage models to produce accurate and fair machine learning models.
  • Make predictions using trained models to meet business objectives and needs.
Read more...

Machine Learning for Mobile Apps using Google’s ML Kit

 14 Hours
This instructor-led, live training in (online or onsite) is aimed at developers who wish to use Google’s ML Kit to build machine learning models that are optimized for processing on mobile devices. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start developing machine learning features for mobile apps.
  • Integrate new machine learning technologies into Android and iOS apps using the ML Kit APIs. 
  • Enhance and optimize existing apps using the ML Kit SDK for on-device processing and deployment.
Read more...

Pattern Matching

 14 Hours
Pattern Matching is a technique used to locate specified patterns within an image. It can be used to determine the existence of specified characteristics within a captured image, for example the expected label on a defective product in a factory line or the specified dimensions of a component. It is different from "Pattern Recognition" (which recognizes general patterns based on larger collections of related samples) in that it specifically dictates what we are looking for, then tells us whether the expected pattern exists or not. Format of the Course
  • This course introduces the approaches, technologies and algorithms used in the field of pattern matching as it applies to Machine Vision.
Read more...

RapidMiner for Machine Learning and Predictive Analytics

 14 Hours
RapidMiner is an open source data science software platform for rapid application prototyping and development. It includes an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics.  In this instructor-led, live training, participants will learn how to use RapidMiner Studio for data preparation, machine learning, and predictive model deployment.  By the end of this training, participants will be able to:
  • Install and configure RapidMiner
  • Prepare and visualize data with RapidMiner
  • Validate machine learning models
  • Mashup data and create predictive models
  • Operationalize predictive analytics within a business process
  • Troubleshoot and optimize RapidMiner
Audience
  • Data scientists
  • Engineers
  • Developers
Format of the Course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
Read more...

Last Updated:

Upcoming Courses

Machine Learning for Mobile Apps using Google’s ML Kit

2025-05-19 09:30
14 hours
Hamburg
3472 EUR (Online)
3872 EUR (Classroom)

Predictive Maintenance with AI in Semiconductor Manufacturing

2025-06-02 09:30
14 hours
Hamburg
3472 EUR (Online)
3872 EUR (Classroom)

Machine Learning for Mobile Apps using Google’s ML Kit

2025-06-16 09:30
14 hours
Hamburg
3472 EUR (Online)
3872 EUR (Classroom)

Google Cloud AutoML

2025-06-30 09:30
7 hours
Hamburg
1736 EUR (Online)
1936 EUR (Classroom)

AutoML with Auto-Keras

2025-07-14 09:30
14 hours
Hamburg
3472 EUR (Online)
3872 EUR (Classroom)

Other regions in Germany

Other Countries

These courses are also available in other countries

Consulting

Supervised Learning Consulting
Online Supervised Machine Learning training in Hamburg, Supervised Learning training courses in Hamburg, Weekend Supervised Learning courses in Hamburg, Evening Supervised Learning training in Hamburg, Supervised Machine Learning instructor-led in Hamburg, Evening Supervised Learning courses in Hamburg, Supervised Learning coaching in Hamburg, Supervised Machine Learning instructor in Hamburg, Supervised Machine Learning boot camp in Hamburg, Online Supervised Machine Learning training in Hamburg, Supervised Learning trainer in Hamburg, Supervised Learning one on one training in Hamburg, Supervised Learning on-site in Hamburg, Supervised Machine Learning instructor-led in Hamburg, Weekend Supervised Machine Learning training in Hamburg, Supervised Learning classes in Hamburg, Supervised Machine Learning private courses in Hamburg