The Hsinchu Wishun centre

HSR Hsinchu Station District Lots, 6/F, No.46 and No.47 in ShiHsin Section, Hsinchu, taiwan, 30274

The Hsinchu Wishun centre is located in the commercial area of Hsinchu THSR district. It only takes 1 minute walk to Hsinchu HSR station which is connected to the centre building and Train Neiwan line. With its convenient transport connectivity, it is also easy to access through National Highway No.1 and Expressway to Hsinchu Science Park (8km) and Hsinchu CBD (15km ). The centre is located at one of the very few grade A buildings in Hsinchu. The newly constructed building is with abundant local amenities, including restaurants, retail shops, recreation facilities and a hotel. Nearby parks and hotels include Shuizhen Forest Park and Hsinchu Sheraton hotel. Surrounded by hi-tech companies and high end residential communities, the location is a new hub for companies that are looking to grow and start their business in Hsinchu. Regus Hsinchu Wishun centre offers flexible workplace solutions to accommodate needs of all types and sizes with comprehensive services at a reasonable price.

Explore Our Courses

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

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

2025-05-12 09:30
21 hours
The Hsinchu Wishun centre
29700 NT$ (Online)
29700 NT$ (Classroom)

Fundamentals of Reinforcement Learning

2025-05-26 09:30
21 hours
The Hsinchu Wishun centre
29700 NT$ (Online)
29700 NT$ (Classroom)

Reinforcement Learning with Google Colab

2025-06-09 09:30
28 hours
The Hsinchu Wishun centre
39600 NT$ (Online)
39600 NT$ (Classroom)

Deep Reinforcement Learning with Python

2025-06-23 09:30
21 hours
The Hsinchu Wishun centre
35100 NT$ (Online)
35100 NT$ (Classroom)

Deep Reinforcement Learning with Python

2025-07-07 09:30
21 hours
The Hsinchu Wishun centre
35100 NT$ (Online)
35100 NT$ (Classroom)

Deep Reinforcement Learning with Python

2025-07-21 09:30
21 hours
The Hsinchu Wishun centre
35100 NT$ (Online)
35100 NT$ (Classroom)

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