Mandalay Classroom

77th x 78th Street, MaHarAungMyay Township, Mandalay, mm, 11101

The Centre located within 2 km of Sri Ganesh Temple and 2.1 km of Ma Soe Yein Nu Kyaung Monastery, 2.3 km from Mahar Thatkyarthiha Pagoda. Cultural Museum & Library is 2.4 km from the hotel and Mandalay University is 2.4 km away, Jade Market is 2.6 km from the accommodation. The nearest airport is Mandalay International Airport, 38 km from Gold Leaf Hotel. Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.

Explore Our Courses

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

 21 Hours
This instructor-led, live training in Mandalay (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 Mandalay (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 Mandalay (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 Mandalay (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)

2025-05-06 09:30
21 hours
Mandalay Classroom
252991 LKR (Online)
282991 LKR (Classroom)

Reinforcement Learning with Google Colab

2025-05-20 09:30
28 hours
Mandalay Classroom
337322 LKR (Online)
377322 LKR (Classroom)

Deep Reinforcement Learning with Python

2025-06-03 09:30
21 hours
Mandalay Classroom
252991 LKR (Online)
282991 LKR (Classroom)

Fundamentals of Reinforcement Learning

2025-06-17 09:30
21 hours
Mandalay Classroom
252991 LKR (Online)
282991 LKR (Classroom)

Fundamentals of Reinforcement Learning

2025-07-01 09:30
21 hours
Mandalay Classroom
252991 LKR (Online)
282991 LKR (Classroom)

Fundamentals of Reinforcement Learning

2025-07-15 09:30
21 hours
Mandalay Classroom
252991 LKR (Online)
282991 LKR (Classroom)

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