Fine-Tuning Vision-Language Models (VLMs) Training Cursus

Fine-Tuning Vision-Language Models (VLMs) is a specialized skill used to enhance multimodal AI systems that process both visual and textual inputs for real-world applications.

This instructor-led, live training (online or onsite) is aimed at advanced-level computer vision engineers and AI developers who wish to fine-tune VLMs such as CLIP and Flamingo to improve performance on industry-specific visual-text tasks.

By the end of this training, participants will be able to:

Understand the architecture and pretraining methods of vision-language models.
Fine-tune VLMs for classification, retrieval, captioning, or multimodal QA.
Prepare datasets and apply PEFT strategies to reduce resource usage.
Evaluate and deploy customized VLMs in production environments.

Format of the Course

Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.

Course Customization Options

To request a customized training for this course, please contact us to arrange.

Bedankt voor uw aanvraag! Een van onze medewerkers neemt binnenkort contact met u op

Bedankt voor uw boeking! Een van onze medewerkers neemt binnenkort contact met u op.

Cursusaanbod

Introduction to Vision-Language Models

Overview of VLMs and their role in multimodal AI
Popular architectures: CLIP, Flamingo, BLIP, etc.
Use cases: search, captioning, autonomous systems, content analysis

Preparing the Fine-Tuning Environment

Setting up OpenCLIP and other VLM libraries
Dataset formats for image-text pairs
Preprocessing pipelines for vision and language inputs

Fine-Tuning CLIP and Similar Models

Contrastive loss and joint embedding spaces
Hands-on: fine-tuning CLIP on custom datasets
Handling domain-specific and multilingual data

Advanced Fine-Tuning Techniques

Using LoRA and adapter-based methods for efficiency
Prompt tuning and visual prompt injection
Zero-shot vs. fine-tuned evaluation trade-offs

Evaluation and Benchmarking

Metrics for VLMs: retrieval accuracy, BLEU, CIDEr, recall
Visual-text alignment diagnostics
Visualizing embedding spaces and misclassifications

Deployment and Use in Real Applications

Exporting models for inference (TorchScript, ONNX)
Integrating VLMs into pipelines or APIs
Resource considerations and model scaling

Case Studies and Applied Scenarios

Media analysis and content moderation
Search and retrieval in e-commerce and digital libraries
Multimodal interaction in robotics and autonomous systems

Summary and Next Steps

Vereisten

An understanding of deep learning for vision and NLP
Experience with PyTorch and transformer-based models
Familiarity with multimodal model architectures

Audience

Computer vision engineers
AI developers

14 Uren

Leveringsopties

PRIVÉGROEPSTRAINING

Onze identiteit draait om het leveren van precies wat onze klanten nodig hebben.

Pre-cursusgesprek met uw trainer
Aanpassing van de leerervaring om uw doelen te bereiken -

Op maat gemaakte overzichten
Praktische, praktische oefeningen met gegevens / scenario's die herkenbaar zijn voor de cursisten

Training gepland op een datum naar keuze
Gegeven online, op locatie/klaslokaal of hybride door experts die ervaring uit de echte wereld delen

Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

Neem contact met ons op voor een exacte offerte en om onze laatste promoties te horen

Fine-Tuning Vision-Language Models (VLMs) Training Cursus

Cursusaanbod

Vereisten

Leveringsopties

PRIVÉGROEPSTRAINING

OPENBARE TRAINING

Voorlopige Aankomende Cursussen

Fine-Tuning Vision-Language Models (VLMs)

Fine-Tuning Vision-Language Models (VLMs)

Fine-Tuning Vision-Language Models (VLMs)

Fine-Tuning Vision-Language Models (VLMs)

Gerelateerde categorieën

Deze site in andere landen/regio's

Europe

Asia Pacific

North America

South America

Africa / Middle East

Other sites

Fine-Tuning Vision-Language Models (VLMs) Training Cursus

Cursusaanbod

Vereisten

Leveringsopties

PRIVÉGROEPSTRAINING

OPENBARE TRAINING

Voorlopige Aankomende Cursussen

Fine-Tuning Vision-Language Models (VLMs)

Fine-Tuning Vision-Language Models (VLMs)

Fine-Tuning Vision-Language Models (VLMs)

Fine-Tuning Vision-Language Models (VLMs)

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Deploying Fine-Tuned Models in Production

Domain-Specific Fine-Tuning for Finance

Fine-Tuning Models and Large Language Models (LLMs)

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

Fine-Tuning Multimodal Models

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

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

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

Optimizing Large Models for Cost-Effective Fine-Tuning

Prompt Engineering and Few-Shot Fine-Tuning

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

Gerelateerde categorieën

Fine-Tuning

Deze site in andere landen/regio's

Europe

Asia Pacific

North America

South America

Africa / Middle East

Other sites