Truro - Commercial Street

1 Commercial St., Truro, Canada, B2N 3H8

Build your business with a flexible office space in Truro, the Hub of Nova Scotia. Commute easily to this ideal location using the nearby Truro Station, and if you’re driving, Trunk 2 and Trunk 4 highways intersect in the town.

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.

Dartmouth - Metropolitan Place

99 Wyse Road, Dartmouth, Canada, B3A 4S5

Metropolitan Place is an ocean-front building, close to Alderney Landing and home to leading businesses. Motorway exits and the local ferry terminal are located close by, and restaurants cafes are easily accessible for lunch.

Halifax-Metropolitan Place

Suite 1100, Lower Water Street, Halifax, Canada, B3J 1S9

Elevate Your Business with Stunning Waterfront Views Experience a prestigious oceanfront workspace in the heart of Harborview. Metropolitan Place is a highly sought-after business destination, just steps from Alderney Landing, offering a prime setting for leading enterprises. Impress your guests with this iconic glass skyscraper, boasting panoramic views of the Atlantic Ocean, Bedford Basin, and Georges Island. With easy access to major highways and the nearby ferry terminal, commuting is effortless. Plus, an array of restaurants and cafés ensures convenient options for business lunches and client meetings.

Explore Our Courses

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

 21 Hours
This instructor-led, live training in Nova Scotia (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 Nova Scotia (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 Nova Scotia (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 Nova Scotia (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 Nova Scotia (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

Deep Reinforcement Learning with Python

2025-06-09 09:30
21 hours
Halifax-Metropolitan Place
CA$ 5,270 (Online)
CA$ 8,120 (Classroom)

Fundamentals of Reinforcement Learning

2025-06-23 09:30
21 hours
Halifax-Metropolitan Place
CA$ 5,270 (Online)
CA$ 8,120 (Classroom)

Fundamentals of Reinforcement Learning

2025-07-07 09:30
21 hours
Halifax-Metropolitan Place
CA$ 5,270 (Online)
CA$ 8,120 (Classroom)

Deep Reinforcement Learning with Python

2025-07-21 09:30
21 hours
Halifax-Metropolitan Place
CA$ 5,270 (Online)
CA$ 8,120 (Classroom)

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