This course equips professionals with the skills to test, evaluate, and govern generative AI systems in real-world conditions. Participants will learn how to move beyond traditional deterministic testing approaches and adopt new methods suited to probabilistic, evolving AI behaviour.

Using practical examples, structured testing frameworks, red-teaming exercises, and hands-on evaluation activities, learners will explore why generative AI systems fail, how risks emerge over time, and how to design testing strategies that build confidence, safety, and trust, before and after deployment.

By the end of the day, participants will have:

A practical testing strategy for a real generative AI use case
A repeatable framework for evaluating quality, risk, and behaviour in GenAI systems
Hands-on experience with red teaming and non-deterministic testing techniques
Clear guidance on how to integrate GenAI testing into product and delivery lifecycles

We can organize this training at your preferred date and location. Contact Us!

Prerequisites

Participants should have:

Basic familiarity with digital products, AI, or software delivery
Exposure to AI-enabled features or systems (as a user, builder, or stakeholder)
No prior experience in AI testing, data science, or machine learning required

Target audience

This course is designed for:

QA engineers and test leads responsible for AI-enabled systems
Product managers and product owners deploying generative AI features
Developers and AI practitioners building or integrating GenAI models
Risk, compliance, and governance professionals overseeing AI usage
UX, CX, and innovation teams concerned with trust, safety, and reliability

Training Outline

Module 1: Why Generative AI Breaks Traditional Testing
Module 2: Understanding GenAI Risk and Behaviour
Module 3: Designing Tests for Non-Deterministic Systems
Module 4: Benchmarking and Evaluation Criteria
Module 5: Red Teaming and Adversarial Testing
Module 6: Testing in Production and Governance

Exams and assessments

There are no formal exams in this course. Participants complete guided testing exercises, group challenges, and a final hands-on GenAI evaluation activity with peer and facilitator feedback.

Hands-on learning

Analysis of real-world generative AI failures
Group exercises designing GenAI test strategies
Prompt-based variability and edge-case testing
Red-teaming and adversarial testing sessions
Iterative refinement of evaluation criteria and benchmarks
Group reflection on risk, confidence, and system behaviour

Why Choose Us

Experience Testing Generative AI Systems in Greece through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's long-standing experience in delivering professional training since 1995.
Flexible and Scalable Delivery: Access live virtual classrooms from Greece and worldwide, with flexible planning options for individual and corporate training needs.

Experience Testing Generative AI Systems in a focused classroom environment in Greece. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite Testing Generative AI Systems in Greece solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Testing Generative AI Systems Training in Greece

Prerequisites

Target audience

Training Outline

Exams and assessments

Hands-on learning

Why Choose Us

Online Instructor-Led Training (VILT)

Classroom-Based Training

Onsite / In-House Training