VA, Stafford - Quantico Corporate

800 Corporate Drive, Suite 301, Stafford, united states, 22554

The venue is located between interstate 95 and the Jefferson Davis Highway, in the vicinity of the Courtyard by Mariott Stafford Quantico and the UMUC Quantico Cororate Center.

VA, Fredericksburg - Central Park Corporate Center

1320 Central Park Blvd., Suite 200, Fredericksburg, united states, 22401

The venue is located behind a complex of commercial buildings with the Bank of America just on the corner before the turn leading to the office.

VA, Richmond - Two Paragon Place

Two Paragon Place, 6802 Paragon Place Suite 410, Richmond, United States, 23230

The venue is located in bustling Richmond with Hampton Inn, Embassy Suites and Westin Hotel less than a mile away.

VA, Reston - Sunrise Valley

12020 Sunrise Valley Dr #100, Reston, United States, 20191

The venue is located just behind the NCRA and Reston Plaza Cafe building and just next door to the United Healthcare building.

VA, Reston - Reston Town Center I

11921 Freedom Dr #550, Reston, united states, 20190

The venue is located in the Reston Town Center, near Chico's and the Artinsights Gallery of Film and Contemporary Art.

VA, Richmond - Sun Trust Center Downtown

919 E Main St, Richmond , united states, 23219

The venue is located in the Sun Trust Center on the crossing of E Main Street and S to N 10th Street just opposite of 7 Eleven.

Explore Our Courses

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

 21 Hours
This instructor-led, live training in Virginia (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 Virginia (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 Virginia (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 Virginia (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 Virginia (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

2025-06-30 9:30 am
28 hours
VA, Fredericksburg - Central Park Corporate Center
$ 5405 (Online)
$ 7405 (Classroom)

Reinforcement Learning with Google Colab

2025-07-14 9:30 am
28 hours
VA, Richmond - Two Paragon Place
$ 5405 (Online)
$ 7405 (Classroom)

Deep Reinforcement Learning with Python

2025-07-28 9:30 am
21 hours
VA, Reston - Sunrise Valley
$ 3330 (Online)
$ 4830 (Classroom)

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