Frankfurt am Main

NobleProg Frankfurt, Domstraße 5, Frankfurt am Main, germany, 60528

Overview

Our training facilities are located at Domstrasse 5 in Frankfurt am Main. Located in the old town of the Main metropolis, our premises offer enough space for successful training courses in the heart of the city, within walking distance of the Dom/Römer underground station.

 

Arrival

The NobleProg training facilities are located in the heart of Frankfurt's Old Town, near the Imperial Cathedral. With the Dom/Römer subway station, there is a central subway stop in the immediate vicinity.

 

Parking

Parking is allowed in the vicinity of our training rooms, even if the search for a parking space can be a bit more time-consuming depending on the date. Next door there is also the Dom/Römer multi-storey car park.

 

Local Services

Not far from the cathedral, in the direction of downtown Frankfurt, there are numerous restaurants and bars and within a 5 minute radius there are several hotels.

Explore Our Courses

Large Language Models (LLMs) and Reinforcement Learning (RL)

 21 Hours
This instructor-led, live training in Frankfurt (online or onsite) is aimed at intermediate-level data scientists who wish to gain a comprehensive understanding and practical skills in both Large Language Models (LLMs) and Reinforcement Learning (RL). By the end of this training, participants will be able to:
  • Understand the components and functionality of transformer models.
  • Optimize and fine-tune LLMs for specific tasks and applications.
  • Understand the core principles and methodologies of reinforcement learning.
  • Learn how reinforcement learning techniques can enhance the performance of LLMs.
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Reinforcement Learning with Google Colab

 28 Hours
This instructor-led, live training in Frankfurt (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of reinforcement learning and its practical applications in AI development using Google Colab. By the end of this training, participants will be able to:
  • Understand the core concepts of reinforcement learning algorithms.
  • Implement reinforcement learning models using TensorFlow and OpenAI Gym.
  • Develop intelligent agents that learn through trial and error.
  • Optimize agents' performance using advanced techniques such as Q-learning and deep Q-networks (DQNs).
  • Train agents in simulated environments using OpenAI Gym.
  • Deploy reinforcement learning models for real-world applications.
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Deep Reinforcement Learning with Python

 21 Hours
This instructor-led, live training in Frankfurt (online or onsite) is aimed at developers and data scientists who wish to learn the fundamentals of Deep Reinforcement Learning as they step through the creation of a Deep Learning Agent. By the end of this training, participants will be able to:
  • Understand the key concepts behind Deep Reinforcement Learning and be able to distinguish it from Machine Learning.
  • Apply advanced Reinforcement Learning algorithms to solve real-world problems.
  • Build a Deep Learning Agent.
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Fundamentals of Reinforcement Learning

 21 Hours
This instructor-led, live training in Frankfurt (online or onsite) is aimed at data scientists who wish to go beyond traditional machine learning approaches to teach a computer program to figure out things (solve problems) without the use of labeled data and big data sets. By the end of this training, participants will be able to:
  • Install and apply the libraries and programming language needed to implement Reinforcement Learning.
  • Create a software agent that is capable of learning through feedback instead of through supervised learning.
  • Program an agent to solve problems where decision making is sequential and finite.
  • Apply knowledge to design software that can learn in a way similar to how humans learn.
Read more...

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Upcoming Courses

Deep Reinforcement Learning with Python

2025-05-12 09:30
21 hours
Frankfurt am Main
5928 EUR (Online)
6528 EUR (Classroom)

Large Language Models (LLMs) and Reinforcement Learning (RL)

2025-05-26 09:30
21 hours
Frankfurt am Main
5208 EUR (Online)
5808 EUR (Classroom)

Fundamentals of Reinforcement Learning

2025-06-09 09:30
21 hours
Frankfurt am Main
5208 EUR (Online)
5808 EUR (Classroom)

Reinforcement Learning with Google Colab

2025-06-23 09:30
28 hours
Frankfurt am Main
6944 EUR (Online)
7744 EUR (Classroom)

Fundamentals of Reinforcement Learning

2025-07-07 09:30
21 hours
Frankfurt am Main
5208 EUR (Online)
5808 EUR (Classroom)

Deep Reinforcement Learning with Python

2025-07-21 09:30
21 hours
Frankfurt am Main
5928 EUR (Online)
6528 EUR (Classroom)

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