Fine-Tuning Training in Maastricht

Online or onsite, instructor-led live Fine-Tuning training courses demonstrate through interactive hands-on practice how to use customized machine learning models to optimize performance for specific tasks, datasets, or applications.

Fine-Tuning training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Fine-Tuning trainings in Maastricht can be carried out locally on customer premises or in NobleProg corporate training centers.

NobleProg -- Your Local Training Provider

Image of NobleProg Training Place, City Maastricht

Regus, Stationsplein 8-K, Maastricht, Netherlands, 6221 BT

The meeting rooms at Stationsplein in Maastricht are located in an inspiring high building with large windows to enjoy the view over this international city. Outside spraying fountains that provide a soothing environment to work. A number of national and international service companies have established themselves in this part of the Netherlands, and in the city there are also many large companies, including specialists in logistics, IT, medical and veterinary technologies and life sciences. There are also a number of large call centers here. Many important Dutch and European government offices are located in the city.

Explore Our Courses

Fine-Tuning Defense AI for Autonomous Systems and Surveillance

14 Hours

Fine-Tuning Legal AI Models: Contract Review and Legal Research

14 Hours

Fine-Tuning AI for Healthcare: Medical Diagnosis and Predictive Analytics

14 Hours

Fine-Tuning AI for Financial Services: Risk Prediction and Fraud Detection

14 Hours

Continual Learning and Model Update Strategies for Fine-Tuned Models

14 Hours

Fine-Tuning Lightweight Models for Edge AI Deployment

14 Hours

Fine-Tuning Vision-Language Models (VLMs)

14 Hours

Safety and Bias Mitigation in Fine-Tuned Models

14 Hours

Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

14 Hours

Fine-Tuning Open-Source LLMs (LLaMA, Mistral, Qwen, etc.)

14 Hours

Parameter-Efficient Fine-Tuning (PEFT) Techniques for LLMs

14 Hours

Fine-Tuning Large Language Models Using QLoRA

14 Hours

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

14 Hours

Domain-Specific Fine-Tuning for Finance

21 Hours

Troubleshooting Fine-Tuning Challenges

14 Hours

Optimizing Large Models for Cost-Effective Fine-Tuning

21 Hours

Prompt Engineering and Few-Shot Fine-Tuning

14 Hours

Fine-Tuning Multimodal Models

28 Hours

Fine-Tuning DeepSeek LLM for Custom AI Models

21 Hours

Deploying Fine-Tuned Models in Production

21 Hours

Advanced Techniques in Transfer Learning

14 Hours

Introduction to Transfer Learning

14 Hours

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

14 Hours

Fine-Tuning Models and Large Language Models (LLMs)

14 Hours

Fine-Tuning for Natural Language Processing (NLP)

21 Hours

Last Updated: 2025-05-07

Provisional Upcoming Courses (Contact Us For More Information)

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Fine-Tuning Training in Maastricht

Maastricht

Explore Our Courses

Fine-Tuning Defense AI for Autonomous Systems and Surveillance

Fine-Tuning Legal AI Models: Contract Review and Legal Research

Fine-Tuning AI for Healthcare: Medical Diagnosis and Predictive Analytics

Fine-Tuning AI for Financial Services: Risk Prediction and Fraud Detection

Continual Learning and Model Update Strategies for Fine-Tuned Models

Fine-Tuning Lightweight Models for Edge AI Deployment

Fine-Tuning Vision-Language Models (VLMs)

Safety and Bias Mitigation in Fine-Tuned Models

Fine-Tuning for Retrieval-Augmented Generation (RAG) Systems

Fine-Tuning Open-Source LLMs (LLaMA, Mistral, Qwen, etc.)

Parameter-Efficient Fine-Tuning (PEFT) Techniques for LLMs

Fine-Tuning Large Language Models Using QLoRA

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

Domain-Specific Fine-Tuning for Finance

Troubleshooting Fine-Tuning Challenges

Optimizing Large Models for Cost-Effective Fine-Tuning

Prompt Engineering and Few-Shot Fine-Tuning

Fine-Tuning Multimodal Models

Fine-Tuning DeepSeek LLM for Custom AI Models

Deploying Fine-Tuned Models in Production

Advanced Techniques in Transfer Learning

Introduction to Transfer Learning

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

Fine-Tuning Models and Large Language Models (LLMs)

Fine-Tuning for Natural Language Processing (NLP)

Provisional Upcoming Courses (Contact Us For More Information)

Advanced Techniques in Transfer Learning

Domain-Specific Fine-Tuning for Finance

Optimizing Large Models for Cost-Effective Fine-Tuning

Introduction to Transfer Learning

Troubleshooting Fine-Tuning Challenges

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