Melbourne 385 Bourke Street

Level 39, 385 Bourke Street, , Melbourne, Australia, 30005250.00

385 Bourke Street is located in the bustling Central Business District (CBD) and retail precinct of Melbourne's commercial hub, making it by far the most sought after address in the City. Positioned directly opposite the Bourke street Mall, the 41 level tower houses a two level retail complex, known as the Galleria Retail Centre. Showcased underneath an impressive high glass ceiling, the retail specialty stores offer the best in giftware, fashion, food and services. The premium grade property is uniquely positioned on a 45 degree angle to the Melbourne CBD grid, providing excellent 360 degree views and has excellent access to public transport, with trams running along both Bourke and Elizabeth Streets and train and bus stations within 500 metres.

Cliftons Perth

Parmelia House, 191 St Georges Terrace, Perth, Australia, 6000

Located within the historic Bishops See precinct, it sits at the western end of Perth’s Commercial Business District

Explore Our Courses

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

 21 Hours
This instructor-led, live training in Melbourne (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 Melbourne (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 Melbourne (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 Melbourne (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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Provisional Upcoming Courses (Require 5+ participants)

Reinforcement Learning with Google Colab

2025-05-06 09:30
28 hours
Cliftons Perth
10000 AUD (Online)
24600 AUD (Classroom)

Deep Reinforcement Learning with Python

2025-05-20 09:30
21 hours
Melbourne 385 Bourke Street
7500 AUD (Online)
17790 AUD (Classroom)

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

2025-06-03 09:30
21 hours
Cliftons Perth
10500 AUD (Online)
21450 AUD (Classroom)

Reinforcement Learning with Google Colab

2025-06-17 09:30
28 hours
Melbourne 385 Bourke Street
10000 AUD (Online)
23720 AUD (Classroom)

Fundamentals of Reinforcement Learning

2025-07-01 09:30
21 hours
Cliftons Perth
10500 AUD (Online)
21450 AUD (Classroom)

Reinforcement Learning with Google Colab

2025-07-15 09:30
28 hours
Melbourne 385 Bourke Street
10000 AUD (Online)
23720 AUD (Classroom)

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Reinforcement Learning Consulting
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