NobleProg Training Place, City Fargo, ND - Railyard Offices NobleProg Training Place, City Fargo, ND - Railyard Offices

Fargo, ND - Railyard Offices

1630 1st Avenue North, Suite B, Fargo, United States,  58102

The venue is situated in the midst of downtown Fargo at 1630 1st Avenue North, conveniently accessible by car via I‑94 or I‑29 with exits onto 1st Avenue North; public parking is available nearby. From Hector International Airport, take I‑94 East to exit toward downtown, then follow signs to 1st Avenue North—approximately a 15‑minute taxi or rideshare ride. Public transit riders can use MATBUS routes that stop within walking distance, and the venue is located in a pedestrian-friendly area.

Explore Our Courses

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

 21 Hours

This instructor-led, live training in Fargo (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.
Read more...

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

 14 Hours

This instructor-led, live training in Fargo (online or onsite) is aimed at advanced-level machine learning engineers and AI researchers who wish to apply RLHF to fine-tune large AI models for superior performance, safety, and alignment.

By the end of this training, participants will be able to:

  • Understand the theoretical foundations of RLHF and why it is essential in modern AI development.
  • Implement reward models based on human feedback to guide reinforcement learning processes.
  • Fine-tune large language models using RLHF techniques to align outputs with human preferences.
  • Apply best practices for scaling RLHF workflows for production-grade AI systems.
Read more...

Reinforcement Learning with Google Colab

 28 Hours

This instructor-led, live training in Fargo (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.
Read more...

Deep Reinforcement Learning with Python

 21 Hours

This instructor-led, live training in Fargo (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.
Read more...

Fundamentals of Reinforcement Learning

 21 Hours

This instructor-led, live training in Fargo (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...

Last Updated:

Upcoming Courses

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

2025-09-22 9:30 am
21 hours
Fargo, ND - Railyard Offices
$ 4054 (Online)
$ 4054 (Classroom)

Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

2025-10-06 9:30 am
14 hours
Fargo, ND - Railyard Offices
$ 2703 (Online)
$ 2703 (Classroom)

Fundamentals of Reinforcement Learning

2025-10-20 9:30 am
21 hours
Fargo, ND - Railyard Offices
$ 4054 (Online)
$ 4054 (Classroom)

Fundamentals of Reinforcement Learning

2025-11-03 9:30 am
21 hours
Fargo, ND - Railyard Offices
$ 4054 (Online)
$ 4054 (Classroom)

Other regions in the US

Other Countries

These courses are also available in other countries

Consulting

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