Burlington, VT – Regus at Williston

300 Interstate Corporate Center, Suite 200, Burlington, United States, 05495

The venue is located in suburban Williston’s Interstate Corporate Center, accessible by car via US 2 or I‑89 with free on-site parking available. From Burlington International Airport (BTV), only about 5 miles away, taxis or rideshares take approximately 10 minutes via Williston Road. Public transit is served by Green Mountain Transit Route 2A, with a stop right outside the corporate center, offering convenient access for attendees traveling without a car.

Montpelier, VT – Local 64

43 State Street, 2ndFloor, Montpelier, United States, 05602

The venue is located at 43 State Street, on the second floor west side, right in downtown Montpelier near the Vermont State House. Easily reached by car via I‑89 or US 2, there is nearby metered street parking and municipal lots. From Burlington International Airport (BTV), about 36 miles northwest, taxis or rideshares typically take around 45 minutes south via I‑89. Public transit is available via Green Mountain Transit buses stopping on State or Main Street, placing the center within a short walk for those arriving without a car.

Winooski, VT – MyCube at Champlain Mill

20 Winooski Falls Wy, Suite 302, Winooski, United States, 05404

The venue is located in the historic Champlain Mill on Winooski Falls Way, perched above scenic Winooski Falls, easily accessed by car via I‑89 or US 2, with free on-site parking available. From Burlington International Airport (BTV), around 3 miles east, taxis or rideshares take about 10–15 minutes via Williston Road. Public transit is facilitated by Green Mountain Transit routes 2 and 4, which stop nearby on Riverside Avenue and Church Street—only a short walk to the site.

Explore Our Courses

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

 21 Hours

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

 14 Hours

This instructor-led, live training in Vermont (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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Reinforcement Learning with Google Colab

 28 Hours

This instructor-led, live training in Vermont (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 Vermont (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 Vermont (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

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

2025-09-22 9:30 am
21 hours
Winooski, VT – MyCube at Champlain Mill
$ 4054 (Online)
$ 4054 (Classroom)

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

2025-10-06 9:30 am
14 hours
Winooski, VT – MyCube at Champlain Mill
$ 2703 (Online)
$ 2703 (Classroom)

Fundamentals of Reinforcement Learning

2025-10-20 9:30 am
21 hours
Winooski, VT – MyCube at Champlain Mill
$ 4054 (Online)
$ 4054 (Classroom)

Fundamentals of Reinforcement Learning

2025-11-03 9:30 am
21 hours
Winooski, VT – MyCube at Champlain Mill
$ 4054 (Online)
$ 4054 (Classroom)

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