Safety and Bias Mitigation in Fine-Tuned Models Training Cursus

Safety and Bias Mitigation in Fine-Tuned Models is a growing concern as AI becomes more embedded in decision-making across industries and regulatory standards continue to evolve.

This instructor-led, live training (online or onsite) is aimed at intermediate-level ML engineers and AI compliance professionals who wish to identify, evaluate, and reduce safety risks and biases in fine-tuned language models.

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

Understand the ethical and regulatory context for safe AI systems.
Identify and evaluate common forms of bias in fine-tuned models.
Apply bias mitigation techniques during and after training.
Design and audit models for safety, transparency, and fairness.

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

Foundations of Safe and Fair AI

Key concepts: safety, bias, fairness, transparency
Types of bias: dataset, representation, algorithmic
Overview of regulatory frameworks (EU AI Act, GDPR, etc.)

Bias in Fine-Tuned Models

How fine-tuning can introduce or amplify bias
Case studies and real-world failures
Identifying bias in datasets and model predictions

Techniques for Bias Mitigation

Data-level strategies (rebalancing, augmentation)
In-training strategies (regularization, adversarial debiasing)
Post-processing strategies (output filtering, calibration)

Model Safety and Robustness

Detecting unsafe or harmful outputs
Adversarial input handling
Red teaming and stress testing fine-tuned models

Auditing and Monitoring AI Systems

Bias and fairness evaluation metrics (e.g., demographic parity)
Explainability tools and transparency frameworks
Ongoing monitoring and governance practices

Toolkits and Hands-On Practice

Using open-source libraries (e.g., Fairlearn, Transformers, CheckList)
Hands-on: Detecting and mitigating bias in a fine-tuned model
Generating safe outputs through prompt design and constraints

Enterprise Use Cases and Compliance Readiness

Best practices for integrating safety in LLM workflows
Documentation and model cards for compliance
Preparing for audits and external reviews

Summary and Next Steps

Vereisten

An understanding of machine learning models and training processes
Experience working with fine-tuning and LLMs
Familiarity with Python and NLP concepts

Audience

AI compliance teams
ML engineers

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

Safety and Bias Mitigation in Fine-Tuned Models Training Cursus

Cursusaanbod

Vereisten

Leveringsopties

PRIVÉGROEPSTRAINING

OPENBARE TRAINING

Voorlopige Aankomende Cursussen

Safety and Bias Mitigation in Fine-Tuned Models

Safety and Bias Mitigation in Fine-Tuned Models

Safety and Bias Mitigation in Fine-Tuned Models

Safety and Bias Mitigation in Fine-Tuned Models

Gerelateerde categorieën

Deze site in andere landen/regio's

Europe

Asia Pacific

North America

South America

Africa / Middle East

Other sites

Safety and Bias Mitigation in Fine-Tuned Models Training Cursus

Cursusaanbod

Vereisten

Leveringsopties

PRIVÉGROEPSTRAINING

OPENBARE TRAINING

Voorlopige Aankomende Cursussen

Safety and Bias Mitigation in Fine-Tuned Models

Safety and Bias Mitigation in Fine-Tuned Models

Safety and Bias Mitigation in Fine-Tuned Models

Safety and Bias Mitigation in Fine-Tuned Models

Gerelateerde cursussen

Advanced Techniques in Transfer Learning

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

Fine-Tuning for Natural Language Processing (NLP)

Fine-Tuning DeepSeek LLM for Custom AI Models

Fine-Tuning Large Language Models Using QLoRA

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)

Fine-Tuning Vision-Language Models (VLMs)

Optimizing Large Models for Cost-Effective Fine-Tuning

Prompt Engineering and Few-Shot Fine-Tuning

Gerelateerde categorieën

Fine-Tuning

Deze site in andere landen/regio's

Europe

Asia Pacific

North America

South America

Africa / Middle East

Other sites