Get in Touch

Halifax - Purdy Wharf

1959 Upper Water Street, Halifax, Canada, B3J 3N2

Short walk from Scotia Square Mall, next door to the Casino Nova Scotia. 2 blocks from the ferry terminal, building has a bus stop right outside, 3 blocks from Citadel Hill Historic Site and Halifax City Hall.

Explore Our Courses

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

 21 Hours

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

Deep Reinforcement Learning (DRL) combines reinforcement learning principles with deep learning architectures to enable agents to make decisions through interaction with their environments. It underpins many modern AI advancements such as self-driving vehicles, robotics control, algorithmic trading, and adaptive recommendation systems. DRL allows an artificial agent to learn strategies, optimize policies, and make autonomous decisions based on trial and error using reward-based learning.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers and data scientists who wish to learn and apply Deep Reinforcement Learning techniques to build intelligent agents capable of autonomous decision-making in complex environments.

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

  • Understand the theoretical foundations and mathematical principles of Reinforcement Learning.
  • Implement key RL algorithms including Q-Learning, Policy Gradients, and Actor-Critic methods.
  • Build and train Deep Reinforcement Learning agents using TensorFlow or PyTorch.
  • Apply DRL to real-world applications such as games, robotics, and decision optimization.
  • Troubleshoot, visualize, and optimize training performance using modern tools.

Format of the Course

  • Interactive lecture and guided discussion.
  • Hands-on exercises and practical implementations.
  • Live coding demonstrations and project-based applications.

Course Customization Options

  • To request a customized version of this course (e.g., using PyTorch instead of TensorFlow), please contact us to arrange.
Read more...

Last Updated:

Upcoming Courses

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

2026-07-27 09:30
14 hours
Halifax - Purdy Wharf
CA$ 4,770 (Online)
CA$ 6,770 (Classroom)

Reinforcement Learning with Google Colab

2026-08-10 09:30
28 hours
Halifax - Purdy Wharf
CA$ 9,115 (Online)
CA$ 13,115 (Classroom)

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

2026-08-24 09:30
14 hours
Halifax - Purdy Wharf
CA$ 4,770 (Online)
CA$ 6,770 (Classroom)

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

2026-09-07 09:30
14 hours
Halifax - Purdy Wharf
CA$ 4,770 (Online)
CA$ 6,770 (Classroom)

Other regions in Canada

Other Countries

These courses are also available in other countries

Consulting

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