Fine-Tuning Training in Zhongguancun

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 training can be carried out locally on customer premises in Zhongguancun or in NobleProg corporate training centers in Zhongguancun.

NobleProg -- Your Local Training Provider

NobleProg Training Place, City Beijing Digital Building

2 south street, Beijing, China, 100000

Zhongguancun South Street, Haidian District, Beijing, close to the North Third Ring Road, facing the Friendship Hotel. The location is in the Zhongguancun office building. It is a popular landmark office building with convenient transportation. There are many bus lines in front of the door to the major cities. The building is divided into two bases. Block A is the tallest commercial building in the west of the central axis. It adopts a pillarless large-open design and is suitable for large enterprises. The office space of Block B is flexible and suitable for small and medium-sized office enterprises. There are various restaurants, hotels, shopping malls, supermarkets, entertainment venues and other supporting facilities.

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

Upcoming Courses

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Fine-Tuning Training in Zhongguancun

Beijing Digital Building

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)

Upcoming Courses

Introduction to Transfer Learning

Deploying Fine-Tuned Models in Production

Domain-Specific Fine-Tuning for Finance

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

Deploying Fine-Tuned Models in Production

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