Salt Lake City, UT – Regus at Main Street

222 S Main Street, 5th Floor, Salt Lake City, United States, 84101

The venue sits on South Main Street in the heart of downtown Salt Lake City’s business district, easily accessible by car via I‑15 and I‑80, with parking available in the building garage (852 spaces) and nearby public lots. From Salt Lake City International Airport (SLC), about 7 miles northwest, a taxi or rideshare typically takes 10–15 minutes via I‑80 West and 600 W. Public transit is excellent: the TRAX light rail stops at Gallivan Plaza or Salt Lake Central Station within a 5–10 minute walk, and multiple bus routes pass along Main and State Streets. The central, walkable location places cafés, hotels, cultural venues, and government offices within easy reach.
NobleProg Training Place, City Salt Lake City, UT - Regus at South Main Street Downtown

Salt Lake City, UT - Regus at South Main Street Downtown

222 South Main Street Downtown, Salt Lake City, United States, 84101

The venue is conveniently located and easy to reach by various means of transportation. Those arriving by car can access it easily via I‑15 and I‑80, with several public parking garages and ample street parking available nearby. For travelers flying in, Salt Lake City International Airport (SLC) is just a 10-minute drive from the location. Additionally, the venue is situated just steps from major bus routes and is within walking distance of the TRAX light rail system.

Explore Our Courses

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

 21 Hours

This instructor-led, live training in Salt Lake City (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 Salt Lake City (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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Fine-Tuning with Reinforcement Learning from Human Feedback (RLHF)

 14 Hours

This instructor-led, live training in Salt Lake City (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.
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Deep Reinforcement Learning with Python

 21 Hours

This instructor-led, live training in Salt Lake City (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 Salt Lake City (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.
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Upcoming Courses

Reinforcement Learning with Google Colab

2025-09-01 9:30 am
28 hours
Salt Lake City, UT - Regus at South Main Street Downtown
$ 5405 (Online)
$ 5405 (Classroom)

Reinforcement Learning with Google Colab

2025-09-15 9:30 am
28 hours
Salt Lake City, UT – Regus at Main Street
$ 5405 (Online)
$ 7405 (Classroom)

Deep Reinforcement Learning with Python

2025-09-24 9:30 am
21 hours
Salt Lake City, UT - Regus at South Main Street Downtown
$ 3330 (Online)
$ 3330 (Classroom)

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