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

Fine-Tuning Large Language Models Using QLoRA

 14 Hours
This instructor-led, live training in Melbourne (online or onsite) is aimed at intermediate-level to advanced-level machine learning engineers, AI developers, and data scientists who wish to learn how to use QLoRA to efficiently fine-tune large models for specific tasks and customizations.By the end of this training, participants will be able to:
  • Understand the theory behind QLoRA and quantization techniques for LLMs.
  • Implement QLoRA in fine-tuning large language models for domain-specific applications.
  • Optimize fine-tuning performance on limited computational resources using quantization.
  • Deploy and evaluate fine-tuned models in real-world applications efficiently.
Read more...

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

 14 Hours
This instructor-led, live training in Melbourne (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...

Domain-Specific Fine-Tuning for Finance

 21 Hours
This instructor-led, live training in Melbourne (online or onsite) is aimed at intermediate-level professionals who wish to gain practical skills in customizing AI models for critical financial tasks. By the end of this training, participants will be able to:
  • Understand the fundamentals of fine-tuning for finance applications.
  • Leverage pre-trained models for domain-specific tasks in finance.
  • Apply techniques for fraud detection, risk assessment, and financial advice generation.
  • Ensure compliance with financial regulations such as GDPR and SOX.
  • Implement data security and ethical AI practices in financial applications.
Read more...

Troubleshooting Fine-Tuning Challenges

 14 Hours
This instructor-led, live training in Melbourne (online or onsite) is aimed at advanced-level professionals who wish to refine their skills in diagnosing and solving fine-tuning challenges for machine learning models. By the end of this training, participants will be able to:
  • Diagnose issues like overfitting, underfitting, and data imbalance.
  • Implement strategies to improve model convergence.
  • Optimize fine-tuning pipelines for better performance.
  • Debug training processes using practical tools and techniques.
Read more...

Optimizing Large Models for Cost-Effective Fine-Tuning

 21 Hours
This instructor-led, live training in Melbourne (online or onsite) is aimed at advanced-level professionals who wish to master techniques for optimizing large models for cost-effective fine-tuning in real-world scenarios. By the end of this training, participants will be able to:
  • Understand the challenges of fine-tuning large models.
  • Apply distributed training techniques to large models.
  • Leverage model quantization and pruning for efficiency.
  • Optimize hardware utilization for fine-tuning tasks.
  • Deploy fine-tuned models effectively in production environments.
Read more...

Prompt Engineering and Few-Shot Fine-Tuning

 14 Hours
This instructor-led, live training in Melbourne (online or onsite) is aimed at intermediate-level professionals who wish to leverage the power of prompt engineering and few-shot learning to optimize LLM performance for real-world applications. By the end of this training, participants will be able to:
  • Understand the principles of prompt engineering and few-shot learning.
  • Design effective prompts for various NLP tasks.
  • Leverage few-shot techniques to adapt LLMs with minimal data.
  • Optimize LLM performance for practical applications.
Read more...

Fine-Tuning Multimodal Models

 28 Hours
This instructor-led, live training in Melbourne (online or onsite) is aimed at advanced-level professionals who wish to master multimodal model fine-tuning for innovative AI solutions. By the end of this training, participants will be able to:
  • Understand the architecture of multimodal models like CLIP and Flamingo.
  • Prepare and preprocess multimodal datasets effectively.
  • Fine-tune multimodal models for specific tasks.
  • Optimize models for real-world applications and performance.
Read more...

Fine-Tuning DeepSeek LLM for Custom AI Models

 21 Hours
This instructor-led, live training in Melbourne (online or onsite) is aimed at advanced-level AI researchers, machine learning engineers, and developers who wish to fine-tune DeepSeek LLM models to create specialized AI applications tailored to specific industries, domains, or business needs. By the end of this training, participants will be able to:
  • Understand the architecture and capabilities of DeepSeek models, including DeepSeek-R1 and DeepSeek-V3.
  • Prepare datasets and preprocess data for fine-tuning.
  • Fine-tune DeepSeek LLM for domain-specific applications.
  • Optimize and deploy fine-tuned models efficiently.
Read more...

Deploying Fine-Tuned Models in Production

 21 Hours
This instructor-led, live training in Melbourne (online or onsite) is aimed at advanced-level professionals who wish to deploy fine-tuned models reliably and efficiently. By the end of this training, participants will be able to:
  • Understand the challenges of deploying fine-tuned models into production.
  • Containerize and deploy models using tools like Docker and Kubernetes.
  • Implement monitoring and logging for deployed models.
  • Optimize models for latency and scalability in real-world scenarios.
Read more...

Advanced Techniques in Transfer Learning

 14 Hours
This instructor-led, live training in Melbourne (online or onsite) is aimed at advanced-level machine learning professionals who wish to master cutting-edge transfer learning techniques and apply them to complex real-world problems. By the end of this training, participants will be able to:
  • Understand advanced concepts and methodologies in transfer learning.
  • Implement domain-specific adaptation techniques for pre-trained models.
  • Apply continual learning to manage evolving tasks and datasets.
  • Master multi-task fine-tuning to enhance model performance across tasks.
Read more...

Introduction to Transfer Learning

 14 Hours
This instructor-led, live training in Melbourne (online or onsite) is aimed at beginner-level to intermediate-level machine learning professionals who wish to understand and apply transfer learning techniques to improve efficiency and performance in AI projects. By the end of this training, participants will be able to:
  • Understand the core concepts and benefits of transfer learning.
  • Explore popular pre-trained models and their applications.
  • Perform fine-tuning of pre-trained models for custom tasks.
  • Apply transfer learning to solve real-world problems in NLP and computer vision.
Read more...

Efficient Fine-Tuning with Low-Rank Adaptation (LoRA)

 14 Hours
This instructor-led, live training in Melbourne (online or onsite) is aimed at intermediate-level developers and AI practitioners who wish to implement fine-tuning strategies for large models without the need for extensive computational resources. By the end of this training, participants will be able to:
  • Understand the principles of Low-Rank Adaptation (LoRA).
  • Implement LoRA for efficient fine-tuning of large models.
  • Optimize fine-tuning for resource-constrained environments.
  • Evaluate and deploy LoRA-tuned models for practical applications.
Read more...

Fine-Tuning Models and Large Language Models (LLMs)

 14 Hours
This instructor-led, live training in Melbourne (online or onsite) is aimed at intermediate-level to advanced-level professionals who wish to customize pre-trained models for specific tasks and datasets. By the end of this training, participants will be able to:
  • Understand the principles of fine-tuning and its applications.
  • Prepare datasets for fine-tuning pre-trained models.
  • Fine-tune large language models (LLMs) for NLP tasks.
  • Optimize model performance and address common challenges.
Read more...

Fine-Tuning for Natural Language Processing (NLP)

 21 Hours
This instructor-led, live training in Melbourne (online or onsite) is aimed at intermediate-level professionals who wish to enhance their NLP projects through the effective fine-tuning of pre-trained language models. By the end of this training, participants will be able to:
  • Understand the fundamentals of fine-tuning for NLP tasks.
  • Fine-tune pre-trained models such as GPT, BERT, and T5 for specific NLP applications.
  • Optimize hyperparameters for improved model performance.
  • Evaluate and deploy fine-tuned models in real-world scenarios.
Read more...

Last Updated:

Provisional Upcoming Courses (Require 5+ participants)

Fine-Tuning DeepSeek LLM for Custom AI Models

2025-06-18 09:30
21 hours
Melbourne 385 Bourke Street
7500 AUD (Online)
17790 AUD (Classroom)

Efficient Fine-Tuning with Low-Rank Adaptation (LoRA)

2025-07-02 09:30
14 hours
Cliftons Perth
5000 AUD (Online)
12300 AUD (Classroom)

Optimizing Large Models for Cost-Effective Fine-Tuning

2025-07-16 09:30
21 hours
Melbourne 385 Bourke Street
7500 AUD (Online)
17790 AUD (Classroom)

Deploying Fine-Tuned Models in Production

2025-07-30 09:30
21 hours
Cliftons Perth
7500 AUD (Online)
18450 AUD (Classroom)

Other regions in Australia

Other Countries

These courses are also available in other countries

Consulting

Fine-Tuning Consulting
Online Fine-Tuning training in Melbourne, Fine-Tuning training courses in Melbourne, Weekend Fine-Tuning courses in Melbourne, Evening Fine-Tuning training in Melbourne, Fine-Tuning instructor-led in Melbourne, Fine-Tuning one on one training in Melbourne, Fine-Tuning on-site in Melbourne, Online Fine-Tuning training in Melbourne, Evening Fine-Tuning courses in Melbourne, Fine-Tuning instructor-led in Melbourne, Fine-Tuning trainer in Melbourne, Fine-Tuning instructor in Melbourne, Fine-Tuning private courses in Melbourne, Weekend Fine-Tuning training in Melbourne, Fine-Tuning boot camp in Melbourne, Fine-Tuning classes in Melbourne, Fine-Tuning coaching in Melbourne