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Intermediate

Beschleunigen Sie Ihre Tests mit KI

Compliance with the profession - Methods

Starts: 18/05/2026
2 days (14h)
Remote
Intermediate
English - French - Deutsch

Allgemeine Informationen

Ziele:

Dieser Schulungskurs vermittelt Ihnen folgende Fähigkeiten:

  • ein umfassendes Verständnis von generativer KI für Testzwecke zu erlangen
  • Effektive Abfragetechniken zu erlernen
  • KI-Tools für das Testen zu entdecken und damit zu experimentieren:
  1. ⇒ Anthropic / Claude 3
  2. ⇒ GPT 3.5 und GPT 4 (OpenAI)
  3. ⇒ Mistral Small und Mistral Medium (Mistral)
  4. ⇒ LLM Workbench, Application RAG und Gravity-Plattform (Smartesting)
  5. ⇒ CodeLLama (Meta)
  6. ⇒ Sonar Small und Sonar Medium (Perplexity)
  7. Im Zuge der technologischen Weiterentwicklung wird diese Liste entsprechend den jeweils aktuell relevantesten Technologien angepasst.

  • Ermittlung der Grenzen und Risiken von KI-gestützten Tests

Zielgruppe:

  • Berater im Bereich Testen
  • Tester
  • Entwickler
  • Projektmanager
  • Testautomatisierer
  • Produktverantwortlicher
  • Projektmanager
  • Qualitätsingenieur
  • QA-Manager

Erforderliche Voraussetzungen:

  • Erfahrung im Bereich Softwaretests (mindestens auf Einstiegsniveau)


Einleitung:

1. Generative AI for software testing: Introduction

  • Generative AI - The basics
  • What generative AI brings to software testing
  • Using generative AI for testing, general principles (workshop on using the LLM portal for training)

2. Prompt engineering - Requesting a large language model for testing: how to get good results

  • Introduction to Prompt Engineering
  • Prompting techniques and best practices
  • Use cases with practical exercises in 4 workshops: improving existing test cases, test case design, test automation, analyzing anomaly reports
  • Plus: tools to help you create your own prompts
  • Debriefing and discussion of the skills implemented

3. Managing the risks of generative AI

  • My AI is wrong: how to detect AI errors / evaluation metrics (workshop)

  • My AI doesn't protect my data: managing this risk, what solutions?

  • My AI is biased: concrete examples, how to avoid it

  • Other AI-related risks

  • Environmental risks (workshop on energy costs)

  • Evolution risks

  • AI regulation (European AI Act)

4. LLM-based test applications

  • LLM-based applications: LLMOps,

  • Workshop on Retrieval Augmented

  • Generation (RAG) - Q/R on a large document corpus, LLM Fine-Tuning

  • Integrating LLM-based functions into 

  • testing tools: workshop on integrating generative AI functions into a testing tool

  • Autonomous AI agents for testing with demonstration: Gérald - Virtual Manual

  • Tester

  • Summary and discussion

5. Advanced techniques for using generative AI in software testing

  • LLM-based applications

  • Adapting an AI model to test tasks: fine-tuning

  • AI agent testing: towards autonomous or semi-autonomous testing

6. Synthesis: what we've learned

  • I'll start using tomorrow: how do I go about it in practice?
  • I choose my generative AI model for testing 

 

 

 

Teaching Methods:

 

  • 35% theory
  • 75% practive : 9+ Workshops & Exercises

 

 

Terms of Evaluation:

 

None

 

 

 

Training Partner:

Our course is in partnership with avec Smartesting.

 

EXT > Academy > logo > Smartesting transparent

Request Enrollment

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Upcoming Sessions

All sessions are delivered in EN/FR. Minimum 3 participants required for a session to run.

21/09/2026 - 22/09/2026
Remote
08/10/2026 - 09/10/2026
Remote
19/11/2026 - 20/11/2026
Remote
07/12/2026 - 08/12/2026
Remote