Fine-Tuning Training in Kentucky

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 Kentucky 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 KY, Louisville – Ormsby III Forest Green

10200 Forest Green Blvd, Louisville, United States, 40223

The venue is located in the vicinity of the Mariott SpringHill Suites and the Guaca Mole restaurant.

Explore Our Courses

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: 2025-05-02

Upcoming Courses

Optimizing Large Models for Cost-Effective Fine-Tuning

2025-06-25 9:30 am

21 hours

KY, Louisville – Ormsby III Forest Green

$ 4054 (Online)

$ 5554 (Classroom)

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

2025-07-09 9:30 am

14 hours

KY, Louisville – Ormsby III Forest Green

$ 2703 (Online)

$ 3703 (Classroom)

Fine-Tuning for Natural Language Processing (NLP)

2025-07-23 9:30 am

21 hours

KY, Louisville – Ormsby III Forest Green

$ 4054 (Online)

$ 5554 (Classroom)

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Fine-Tuning Training in Kentucky

KY, Louisville – Ormsby III Forest Green

Explore Our Courses

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)

Upcoming Courses

Optimizing Large Models for Cost-Effective Fine-Tuning

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

Fine-Tuning for Natural Language Processing (NLP)

This site in other countries/regions

Europe

Asia Pacific

North America

South America

Africa / Middle East

Other sites

Fine-Tuning Training in Kentucky

KY, Louisville – Ormsby III Forest Green

Explore Our Courses

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)

Upcoming Courses

Optimizing Large Models for Cost-Effective Fine-Tuning

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

Fine-Tuning for Natural Language Processing (NLP)

Other regions in the US

Other Countries

Consulting

This site in other countries/regions

Europe

Asia Pacific

North America

South America

Africa / Middle East

Other sites