Our instructor-led live Reinforcement Learning training courses, available either online or onsite, utilize interactive hands-on exercises to demonstrate the creation and deployment of Reinforcement Learning systems.
This training is offered as either "online live training" or "onsite live training". Online sessions, also referred to as "remote live training", are conducted via an interactive remote desktop. Onsite live training takes place either at your local premises in Copenhagen or at NobleProg's corporate training centers in Copenhagen.
You can also take bus 26 or 7A and get off around Vesterbros Torv; from there it is a short walk.
By bus
Useful nearby stops include:
Vesterbros Torv (Vesterbrogade) — about 1 minute from the area.
Frederiksberg Allé (Vesterbrogade) — nearby.
Trommesalen (Vesterbrogade) — nearby.
Bus 26 and 7A serve the Vesterbrogade corridor.
København, Copenhagen
NobleProg København, Bredgade 37, København K, denmark, 1260
Near Amalienborg Palace & Royal Theatre.
If you arrive by train
If you arrive at Copenhagen Central Station (København H):
Walk to København H Metro.
Take the M3 or M4 metro toward Kongens Nytorv.
Get off at Kongens Nytorv.
Walk north toward Nyhavn, then continue along Bredgade.
Bredgade 37 is about 500 m / 6 minutes' walk from Kongens Nytorv.
Another easy option
Marmorkirken (Marble Church) Metro Station is also very close to Bredgade 37. The nearby Bredgade area is about 2 minutes' walk from Marmorkirken station.
By bus
There are bus stops around Dronningens Tværgade / Bredgade, so you can also travel by bus and walk the final few minutes.
This live, instructor-led training in Copenhagen (delivered online or on-site) is designed for intermediate-level data scientists aiming to build a comprehensive understanding and practical proficiency 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.
This instructor-led live course in Copenhagen, delivered either online or on-site, targets advanced machine learning engineers and AI researchers aiming to apply RLHF to refine large AI models for improved performance, safety, and alignment.
By the end of this training, participants will be able to:
Comprehend the theoretical foundations of RLHF and recognize its importance in modern AI development.
Create reward models based on human feedback to direct reinforcement learning processes.
Optimize large language models through RLHF techniques to ensure outputs reflect human preferences.
Apply best practices for scaling RLHF workflows to support production-grade AI systems.
This instructor-led live training in Copenhagen (online or onsite) is designed for advanced professionals seeking to deepen their expertise in reinforcement learning and its practical application in AI development using Google Colab.
By the end of the session, participants will be equipped to:
Understand the core principles of reinforcement learning algorithms.
Implement RL models using TensorFlow and OpenAI Gym.
Develop intelligent agents that learn via trial and error.
Optimize agent performance using advanced techniques like Q-learning and deep Q-networks (DQNs).
Train agents in simulated environments with OpenAI Gym.
Deploy reinforcement learning models for real-world applications.
This instructor-led training in Copenhagen covers the theoretical foundations and practical implementation of Deep Reinforcement Learning using Python. Participants will build and train DRL agents with TensorFlow or PyTorch, applying key algorithms like DQN and PPO to solve complex real-world problems.
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